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Cx(a)&&a.revert&&T(this,dl)?{...T(this,dl),fetchStatus:"idle"}:{...i,error:a,errorUpdateCount:i.errorUpdateCount+1,errorUpdatedAt:Date.now(),fetchFailureCount:i.fetchFailureCount+1,fetchFailureReason:a,fetchStatus:"idle",status:"error"};case"invalidate":return{...i,isInvalidated:!0};case"setState":return{...i,...t.state}}};this.state=n(this.state),$t.batch(()=>{this.observers.forEach(i=>{i.onQueryUpdate()}),T(this,ir).notify({query:this,type:"updated",action:t})})},aC);function I3(e,t){return{fetchFailureCount:0,fetchFailureReason:null,fetchStatus:A3(t.networkMode)?"fetching":"paused",...e===void 0&&{error:null,status:"pending"}}}function wU(e){const t=typeof e.initialData=="function"?e.initialData():e.initialData,n=t!==void 0,i=n?typeof 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this.options.meta}addObserver(t){T(this,ei).includes(t)||(T(this,ei).push(t),this.clearGcTimeout(),T(this,bn).notify({type:"observerAdded",mutation:this,observer:t}))}removeObserver(t){se(this,ei,T(this,ei).filter(n=>n!==t)),this.scheduleGc(),T(this,bn).notify({type:"observerRemoved",mutation:this,observer:t})}optionalRemove(){T(this,ei).length||(this.state.status==="pending"?this.scheduleGc():T(this,bn).remove(this))}continue(){var t;return((t=T(this,Ss))==null?void 0:t.continue())??this.execute(this.state.variables)}async execute(t){var a,s,o,l,c,d,u,p,m,f,x,h,g,y,v,b,A,w,k,N;se(this,Ss,k3({fn:()=>this.options.mutationFn?this.options.mutationFn(t):Promise.reject(new Error("No mutationFn 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n=i=>{switch(t.type){case"failed":return{...i,failureCount:t.failureCount,failureReason:t.error};case"pause":return{...i,isPaused:!0};case"continue":return{...i,isPaused:!1};case"pending":return{...i,context:t.context,data:void 0,failureCount:0,failureReason:null,error:null,isPaused:t.isPaused,status:"pending",variables:t.variables,submittedAt:Date.now()};case"success":return{...i,data:t.data,failureCount:0,failureReason:null,error:null,status:"success",isPaused:!1};case"error":return{...i,data:void 0,error:t.error,failureCount:i.failureCount+1,failureReason:t.error,isPaused:!1,status:"error"}}};this.state=n(this.state),$t.batch(()=>{T(this,ei).forEach(i=>{i.onMutationUpdate(t)}),T(this,bn).notify({mutation:this,type:"updated",action:t})})},oC);function S3(){return{context:void 0,data:void 0,error:null,failureCount:0,failureReason:null,isPaused:!1,status:"idle",variables:void 0,submittedAt:0}}var Un,zu,lC,kU=(lC=class extends 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108],["path",{d:"M10 14h4",key:"kelpxr"}],["path",{d:"M10 18h4",key:"1ulq68"}]]);/** 109 * @license lucide-react v0.453.0 - ISC 110 * 111 * This source code is licensed under the ISC license. 112 * See the LICENSE file in the root directory of this source tree. 113 */const Hq=xe("Building",[["rect",{width:"16",height:"20",x:"4",y:"2",rx:"2",ry:"2",key:"76otgf"}],["path",{d:"M9 22v-4h6v4",key:"r93iot"}],["path",{d:"M8 6h.01",key:"1dz90k"}],["path",{d:"M16 6h.01",key:"1x0f13"}],["path",{d:"M12 6h.01",key:"1vi96p"}],["path",{d:"M12 10h.01",key:"1nrarc"}],["path",{d:"M12 14h.01",key:"1etili"}],["path",{d:"M16 10h.01",key:"1m94wz"}],["path",{d:"M16 14h.01",key:"1gbofw"}],["path",{d:"M8 10h.01",key:"19clt8"}],["path",{d:"M8 14h.01",key:"6423bh"}]]);/** 114 * @license lucide-react v0.453.0 - ISC 115 * 116 * This source code is licensed under the ISC license. 117 * See the LICENSE file in the root directory of this source tree. 118 */const zq=xe("Calendar",[["path",{d:"M8 2v4",key:"1cmpym"}],["path",{d:"M16 2v4",key:"4m81vk"}],["rect",{width:"18",height:"18",x:"3",y:"4",rx:"2",key:"1hopcy"}],["path",{d:"M3 10h18",key:"8toen8"}]]);/** 119 * @license lucide-react v0.453.0 - ISC 120 * 121 * This source code is licensed under the ISC license. 122 * See the LICENSE file in the root directory of this source tree. 123 */const Wq=xe("ChartColumn",[["path",{d:"M3 3v16a2 2 0 0 0 2 2h16",key:"c24i48"}],["path",{d:"M18 17V9",key:"2bz60n"}],["path",{d:"M13 17V5",key:"1frdt8"}],["path",{d:"M8 17v-3",key:"17ska0"}]]);/** 124 * @license lucide-react v0.453.0 - ISC 125 * 126 * This source code is licensed under the ISC license. 127 * See the LICENSE file in the root directory of this source tree. 128 */const Vq=xe("ChartNoAxesColumn",[["line",{x1:"18",x2:"18",y1:"20",y2:"10",key:"1xfpm4"}],["line",{x1:"12",x2:"12",y1:"20",y2:"4",key:"be30l9"}],["line",{x1:"6",x2:"6",y1:"20",y2:"14",key:"1r4le6"}]]);/** 129 * @license lucide-react v0.453.0 - ISC 130 * 131 * This source code is licensed under the ISC license. 132 * See the LICENSE file in the root directory of this source tree. 133 */const Ia=xe("Check",[["path",{d:"M20 6 9 17l-5-5",key:"1gmf2c"}]]);/** 134 * @license lucide-react v0.453.0 - ISC 135 * 136 * This source code is licensed under the ISC license. 137 * See the LICENSE file in the root directory of this source tree. 138 */const La=xe("ChevronDown",[["path",{d:"m6 9 6 6 6-6",key:"qrunsl"}]]);/** 139 * @license lucide-react v0.453.0 - ISC 140 * 141 * This source code is licensed under the ISC license. 142 * See the LICENSE file in the root directory of this source tree. 143 */const hD=xe("ChevronLeft",[["path",{d:"m15 18-6-6 6-6",key:"1wnfg3"}]]);/** 144 * @license lucide-react v0.453.0 - ISC 145 * 146 * This source code is licensed under the ISC license. 147 * See the LICENSE file in the root directory of this source tree. 148 */const fD=xe("ChevronRight",[["path",{d:"m9 18 6-6-6-6",key:"mthhwq"}]]);/** 149 * @license lucide-react v0.453.0 - ISC 150 * 151 * This source code is licensed under the ISC license. 152 * See the LICENSE file in the root directory of this source tree. 153 */const ng=xe("ChevronUp",[["path",{d:"m18 15-6-6-6 6",key:"153udz"}]]);/** 154 * @license lucide-react v0.453.0 - ISC 155 * 156 * This source code is licensed under the ISC license. 157 * See the LICENSE file in the root directory of this source tree. 158 */const Kq=xe("CircleAlert",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["line",{x1:"12",x2:"12",y1:"8",y2:"12",key:"1pkeuh"}],["line",{x1:"12",x2:"12.01",y1:"16",y2:"16",key:"4dfq90"}]]);/** 159 * @license lucide-react v0.453.0 - ISC 160 * 161 * This source code is licensed under the ISC license. 162 * See the LICENSE file in the root directory of this source tree. 163 */const z0=xe("CircleCheck",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["path",{d:"m9 12 2 2 4-4",key:"dzmm74"}]]);/** 164 * @license lucide-react v0.453.0 - ISC 165 * 166 * This source code is licensed under the ISC license. 167 * See the LICENSE file in the root directory of this source tree. 168 */const Yq=xe("CircleDollarSign",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["path",{d:"M16 8h-6a2 2 0 1 0 0 4h4a2 2 0 1 1 0 4H8",key:"1h4pet"}],["path",{d:"M12 18V6",key:"zqpxq5"}]]);/** 169 * @license lucide-react v0.453.0 - ISC 170 * 171 * This source code is licensed under the ISC license. 172 * See the LICENSE file in the root directory of this source tree. 173 */const gD=xe("Clock",[["circle",{cx:"12",cy:"12",r:"10",key:"1mglay"}],["polyline",{points:"12 6 12 12 16 14",key:"68esgv"}]]);/** 174 * @license lucide-react v0.453.0 - ISC 175 * 176 * This source code is licensed under the ISC license. 177 * See the LICENSE file in the root directory of this source tree.
178 */const W0=xe("Copy",[["rect",{width:"14",height:"14",x:"8",y:"8",rx:"2",ry:"2",key:"17jyea"}],["path",{d:"M4 16c-1.1 0-2-.9-2-2V4c0-1.1.9-2 2-2h10c1.1 0 2 .9 2 2",key:"zix9uf"}]]);/** 179 * @license lucide-react v0.453.0 - ISC 180 * 181 * This source code is licensed under the ISC license. 182 * See the LICENSE file in the root directory of this source tree. 183 */const V0=xe("Cpu",[["rect",{width:"16",height:"16",x:"4",y:"4",rx:"2",key:"14l7u7"}],["rect",{width:"6",height:"6",x:"9",y:"9",rx:"1",key:"5aljv4"}],["path",{d:"M15 2v2",key:"13l42r"}],["path",{d:"M15 20v2",key:"15mkzm"}],["path",{d:"M2 15h2",key:"1gxd5l"}],["path",{d:"M2 9h2",key:"1bbxkp"}],["path",{d:"M20 15h2",key:"19e6y8"}],["path",{d:"M20 9h2",key:"19tzq7"}],["path",{d:"M9 2v2",key:"165o2o"}],["path",{d:"M9 20v2",key:"i2bqo8"}]]);/** 184 * @license lucide-react v0.453.0 - ISC 185 * 186 * This source code is licensed under the ISC license. 187 * See the LICENSE file in the root directory of this source tree. 188 */const S=xe("ExternalLink",[["path",{d:"M15 3h6v6",key:"1q9fwt"}],["path",{d:"M10 14 21 3",key:"gplh6r"}],["path",{d:"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6",key:"a6xqqp"}]]);/** 189 * @license lucide-react v0.453.0 - ISC 190 * 191 * This source code is licensed under the ISC license. 192 * See the LICENSE file in the root directory of this source tree. 193 */const xD=xe("FileCheck2",[["path",{d:"M4 22h14a2 2 0 0 0 2-2V7l-5-5H6a2 2 0 0 0-2 2v4",key:"1pf5j1"}],["path",{d:"M14 2v4a2 2 0 0 0 2 2h4",key:"tnqrlb"}],["path",{d:"m3 15 2 2 4-4",key:"1lhrkk"}]]);/** 194 * @license lucide-react v0.453.0 - ISC 195 * 196 * This source code is licensed under the ISC license. 197 * See the LICENSE file in the root directory of this source tree. 198 */const yD=xe("FilePenLine",[["path",{d:"m18 5-2.414-2.414A2 2 0 0 0 14.172 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2",key:"142zxg"}],["path",{d:"M21.378 12.626a1 1 0 0 0-3.004-3.004l-4.01 4.012a2 2 0 0 0-.506.854l-.837 2.87a.5.5 0 0 0 .62.62l2.87-.837a2 2 0 0 0 .854-.506z",key:"2t3380"}],["path",{d:"M8 18h1",key:"13wk12"}]]);/** 199 * @license lucide-react v0.453.0 - ISC 200 * 201 * This source code is licensed under the ISC license. 202 * See the LICENSE file in the root directory of this source tree. 203 */const Qq=xe("Gauge",[["path",{d:"m12 14 4-4",key:"9kzdfg"}],["path",{d:"M3.34 19a10 10 0 1 1 17.32 0",key:"19p75a"}]]);/** 204 * @license lucide-react v0.453.0 - ISC 205 * 206 * This source code is licensed under the ISC license. 207 * See the LICENSE file in the root directory of this source tree. 208 */const Xq=xe("Github",[["path",{d:"M15 22v-4a4.8 4.8 0 0 0-1-3.5c3 0 6-2 6-5.5.08-1.25-.27-2.48-1-3.5.28-1.15.28-2.35 0-3.5 0 0-1 0-3 1.5-2.64-.5-5.36-.5-8 0C6 2 5 2 5 2c-.3 1.15-.3 2.35 0 3.5A5.403 5.403 0 0 0 4 9c0 3.5 3 5.5 6 5.5-.39.49-.68 1.05-.85 1.65-.17.6-.22 1.23-.15 1.85v4",key:"tonef"}],["path",{d:"M9 18c-4.51 2-5-2-7-2",key:"9comsn"}]]);/** 209 * @license lucide-react v0.453.0 - ISC 210 * 211 * This source code is licensed under the ISC license. 212 * See the LICENSE file in the root directory of this source tree. 213 */const Tx=xe("GraduationCap",[["path",{d:"M21.42 10.922a1 1 0 0 0-.019-1.838L12.83 5.18a2 2 0 0 0-1.66 0L2.6 9.08a1 1 0 0 0 0 1.832l8.57 3.908a2 2 0 0 0 1.66 0z",key:"j76jl0"}],["path",{d:"M22 10v6",key:"1lu8f3"}],["path",{d:"M6 12.5V16a6 3 0 0 0 12 0v-3.5",key:"1r8lef"}]]);/** 214 * @license lucide-react v0.453.0 - ISC 215 * 216 * This source code is licensed under the ISC license. 217 * See the LICENSE file in the root directory of this source tree. 218 */const Zq=xe("Hammer",[["path",{d:"m15 12-8.373 8.373a1 1 0 1 1-3-3L12 9",key:"eefl8a"}],["path",{d:"m18 15 4-4",key:"16gjal"}],["path",{d:"m21.5 11.5-1.914-1.914A2 2 0 0 1 19 8.172V7l-2.26-2.26a6 6 0 0 0-4.202-1.756L9 2.96l.92.82A6.18 6.18 0 0 1 12 8.4V10l2 2h1.172a2 2 0 0 1 1.414.586L18.5 14.5",key:"b7pghm"}]]);/** 219 * @license lucide-react v0.453.0 - ISC 220 * 221 * This source code is licensed under the ISC license. 222 * See the LICENSE file in the root directory of this source tree. 223 */const Jq=xe("House",[["path",{d:"M15 21v-8a1 1 0 0 0-1-1h-4a1 1 0 0 0-1 1v8",key:"5wwlr5"}],["path",{d:"M3 10a2 2 0 0 1 .709-1.528l7-5.999a2 2 0 0 1 2.582 0l7 5.999A2 2 0 0 1 21 10v9a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2z",key:"1d0kgt"}]]);/** 224 * @license lucide-react v0.453.0 - ISC 225 * 226 * This source code is licensed under the ISC license. 227 * See the LICENSE file in the root directory of this source tree. 228 */const eG=xe("Layers",[["path",{d:"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z",key:"8b97xw"}],["path",{d:"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65",key:"dd6zsq"}],["path",{d:"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65",key:"ep9fru"}]]);/** 229 * @license lucide-react v0.453.0 - ISC 230 * 231 * This source code is licensed under the ISC license. 232 * See the LICENSE file in the root directory of this source tree. 233 */const vD=xe("Lightbulb",[["path",{d:"M15 14c.2-1 .7-1.7 1.5-2.5 1-.9 1.5-2.2 1.5-3.5A6 6 0 0 0 6 8c0 1 .2 2.2 1.5 3.5.7.7 1.3 1.5 1.5 2.5",key:"1gvzjb"}],["path",{d:"M9 18h6",key:"x1upvd"}],["path",{d:"M10 22h4",key:"ceow96"}]]);/** 234 * @license lucide-react v0.453.0 - ISC 235 * 236 * This source code is licensed under the ISC license. 237 * See the LICENSE file in the root directory of this source tree. 238 */const ic=xe("LoaderCircle",[["path",{d:"M21 12a9 9 0 1 1-6.219-8.56",key:"13zald"}]]);/** 239 * @license lucide-react v0.453.0 - ISC 240 * 241 * This source code is licensed under the ISC license. 242 * See the LICENSE file in the root directory of this source tree. 243 */const tG=xe("Mail",[["rect",{width:"20",height:"16",x:"2",y:"4",rx:"2",key:"18n3k1"}],["path",{d:"m22 7-8.97 5.7a1.94 1.94 0 0 1-2.06 0L2 7",key:"1ocrg3"}]]);/** 244 * @license lucide-react v0.453.0 - ISC 245 * 246 * This source code is licensed under the ISC license. 247 * See the LICENSE file in the root directory of this source tree. 248 */const nG=xe("Menu",[["line",{x1:"4",x2:"20",y1:"12",y2:"12",key:"1e0a9i"}],["line",{x1:"4",x2:"20",y1:"6",y2:"6",key:"1owob3"}],["line",{x1:"4",x2:"20",y1:"18",y2:"18",key:"yk5zj1"}]]);/** 249 * @license lucide-react v0.453.0 - ISC 250 * 251 * This source code is licensed under the ISC license. 252 * See the LICENSE file in the root directory of this source tree. 253 */const Dx=xe("MousePointerClick",[["path",{d:"M14 4.1 12 6",key:"ita8i4"}],["path",{d:"m5.1 8-2.9-.8",key:"1go3kf"}],["path",{d:"m6 12-1.9 2",key:"mnht97"}],["path",{d:"M7.2 2.2 8 5.1",key:"1cfko1"}],["path",{d:"M9.037 9.69a.498.498 0 0 1 .653-.653l11 4.5a.5.5 0 0 1-.074.949l-4.349 1.041a1 1 0 0 0-.74.739l-1.04 4.35a.5.5 0 0 1-.95.
vendor: 10,395 bytes, lines 253-313
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313i18nFormat","utils"],t,this),this.options=n,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.logger=ai.create("translator")}changeLanguage(t){t&&(this.language=t)}exists(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}};if(t==null)return!1;const i=this.resolve(t,n);return(i==null?void 0:i.res)!==void 0}extractFromKey(t,n){let i=n.nsSeparator!==void 0?n.nsSeparator:this.options.nsSeparator;i===void 0&&(i=":");const a=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator;let s=n.ns||this.options.defaultNS||[];const o=i&&t.indexOf(i)>-1,l=!this.options.userDefinedKeySeparator&&!n.keySeparator&&!this.options.userDefinedNsSeparator&&!n.nsSeparator&&!CH(t,i,a);if(o&&!l){const c=t.match(this.interpolator.nestingRegexp);if(c&&c.length>0)return{key:t,namespaces:we(s)?[s]:s};const d=t.split(i);(i!==a||i===a&&this.options.ns.indexOf(d[0])>-1)&&(s=d.shift()),t=d.join(a)}return{key:t,namespaces:we(s)?[s]:s}}translate(t,n,i){if(typeof n!="object"&&this.options.overloadTranslationOptionHandler&&(n=this.options.overloadTranslationOptionHandler(arguments)),typeof n=="object"&&(n={...n}),n||(n={}),t==null)return"";Array.isArray(t)||(t=[String(t)]);const a=n.returnDetails!==void 0?n.returnDetails:this.options.returnDetails,s=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator,{key:o,namespaces:l}=this.extractFromKey(t[t.length-1],n),c=l[l.length-1],d=n.lng||this.language,u=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if((d==null?void 0:d.toLowerCase())==="cimode"){if(u){const _=n.nsSeparator||this.options.nsSeparator;return a?{res:`${c}${_}${o}`,usedKey:o,exactUsedKey:o,usedLng:d,usedNS:c,usedParams:this.getUsedParamsDetails(n)}:`${c}${_}${o}`}return a?{res:o,usedKey:o,exactUsedKey:o,usedLng:d,usedNS:c,usedParams:this.getUsedParamsDetails(n)}:o}const p=this.resolve(t,n);let m=p==null?void 0:p.res;const f=(p==null?void 0:p.usedKey)||o,x=(p==null?void 0:p.exactUsedKey)||o,h=["[object Number]","[object Function]","[object RegExp]"],g=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,y=!this.i18nFormat||this.i18nFormat.handleAsObject,v=n.count!==void 0&&!we(n.count),b=fh.hasDefaultValue(n),A=v?this.pluralResolver.getSuffix(d,n.count,n):"",w=n.ordinal&&v?this.pluralResolver.getSuffix(d,n.count,{ordinal:!1}):"",k=v&&!n.ordinal&&n.count===0,N=k&&n[`defaultValue${this.options.pluralSeparator}zero`]||n[`defaultValue${A}`]||n[`defaultValue${w}`]||n.defaultValue;let I=m;y&&!m&&b&&(I=N);const C=pk(I),O=Object.prototype.toString.apply(I);if(y&&I&&C&&h.indexOf(O)<0&&!(we(g)&&Array.isArray(I))){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const _=this.options.returnedObjectHandler?this.options.returnedObjectHandler(f,I,{...n,ns:l}):`key '${o} (${this.language})' returned an object instead of string.`;return a?(p.res=_,p.usedParams=this.getUsedParamsDetails(n),p):_}if(s){const _=Array.isArray(I),D=_?[]:{},G=_?x:f;for(const P in I)if(Object.prototype.hasOwnProperty.call(I,P)){const L=`${G}${s}${P}`;b&&!m?D[P]=this.translate(L,{...n,defaultValue:pk(N)?N[P]:void 0,joinArrays:!1,ns:l}):D[P]=this.translate(L,{...n,joinArrays:!1,ns:l}),D[P]===L&&(D[P]=I[P])}m=D}}else if(y&&we(g)&&Array.isArray(m))m=m.join(g),m&&(m=this.extendTranslation(m,t,n,i));else{let _=!1,D=!1;!this.isValidLookup(m)&&b&&(_=!0,m=N),this.isValidLookup(m)||(D=!0,m=o);const P=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&D?void 0:m,L=b&&N!==m&&this.options.updateMissing;if(D||_||L){if(this.logger.log(L?"updateKey":"missingKey",d,c,o,L?N:m),s){const $=this.resolve(o,{...n,keySeparator:!1});$&&$.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let U=[];const W=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&W&&W[0])for(let $=0;$<W.length;$++)U.push(W[$]);else this.options.saveMissingTo==="all"?U=this.languageUtils.toResolveHierarchy(n.lng||this.language):U.push(n.lng||this.language);const B=($,z,Q)=>{var ne;const V=b&&Q!==m?Q:P;this.options.missingKeyHandler?this.options.missingKeyHandler($,c,z,V,L,n):(ne=this.backendConnector)!=null&&ne.saveMissing&&this.backendConnector.saveMissing($,c,z,V,L,n),this.emit
vendor: 16,918 bytes, line 313
313("missingKey",$,c,z,m)};this.options.saveMissing&&(this.options.saveMissingPlurals&&v?U.forEach($=>{const z=this.pluralResolver.getSuffixes($,n);k&&n[`defaultValue${this.options.pluralSeparator}zero`]&&z.indexOf(`${this.options.pluralSeparator}zero`)<0&&z.push(`${this.options.pluralSeparator}zero`),z.forEach(Q=>{B([$],o+Q,n[`defaultValue${Q}`]||N)})}):B(U,o,N))}m=this.extendTranslation(m,t,n,p,i),D&&m===o&&this.options.appendNamespaceToMissingKey&&(m=`${c}:${o}`),(D||_)&&this.options.parseMissingKeyHandler&&(m=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${c}:${o}`:o,_?m:void 0))}return a?(p.res=m,p.usedParams=this.getUsedParamsDetails(n),p):m}extendTranslation(t,n,i,a,s){var d,u;var o=this;if((d=this.i18nFormat)!=null&&d.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...i},i.lng||this.language||a.usedLng,a.usedNS,a.usedKey,{resolved:a});else if(!i.skipInterpolation){i.interpolation&&this.interpolator.init({...i,interpolation:{...this.options.interpolation,...i.interpolation}});const p=we(t)&&(((u=i==null?void 0:i.interpolation)==null?void 0:u.skipOnVariables)!==void 0?i.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let m;if(p){const x=t.match(this.interpolator.nestingRegexp);m=x&&x.length}let f=i.replace&&!we(i.replace)?i.replace:i;if(this.options.interpolation.defaultVariables&&(f={...this.options.interpolation.defaultVariables,...f}),t=this.interpolator.interpolate(t,f,i.lng||this.language||a.usedLng,i),p){const x=t.match(this.interpolator.nestingRegexp),h=x&&x.length;m<h&&(i.nest=!1)}!i.lng&&a&&a.res&&(i.lng=this.language||a.usedLng),i.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var x=arguments.length,h=new Array(x),g=0;g<x;g++)h[g]=arguments[g];return(s==null?void 0:s[0])===h[0]&&!i.context?(o.logger.warn(`It seems you are nesting recursively key: ${h[0]} in key: ${n[0]}`),null):o.translate(...h,n)},i)),i.interpolation&&this.interpolator.reset()}const l=i.postProcess||this.options.postProcess,c=we(l)?[l]:l;return t!=null&&(c!=null&&c.length)&&i.applyPostProcessor!==!1&&(t=$D.handle(c,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:{...a,usedParams:this.getUsedParamsDetails(i)},...i}:i,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},i,a,s,o,l;return we(t)&&(t=[t]),t.forEach(c=>{if(this.isValidLookup(i))return;const d=this.extractFromKey(c,n),u=d.key;a=u;let p=d.namespaces;this.options.fallbackNS&&(p=p.concat(this.options.fallbackNS));const m=n.count!==void 0&&!we(n.count),f=m&&!n.ordinal&&n.count===0,x=n.context!==void 0&&(we(n.context)||typeof n.context=="number")&&n.context!=="",h=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);p.forEach(g=>{var y,v;this.isValidLookup(i)||(l=g,!uk[`${h[0]}-${g}`]&&((y=this.utils)!=null&&y.hasLoadedNamespace)&&!((v=this.utils)!=null&&v.hasLoadedNamespace(l))&&(uk[`${h[0]}-${g}`]=!0,this.logger.warn(`key "${a}" for languages "${h.join(", ")}" won't get resolved as namespace "${l}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),h.forEach(b=>{var k;if(this.isValidLookup(i))return;o=b;const A=[u];if((k=this.i18nFormat)!=null&&k.addLookupKeys)this.i18nFormat.addLookupKeys(A,u,b,g,n);else{let N;m&&(N=this.pluralResolver.getSuffix(b,n.count,n));const I=`${this.options.pluralSeparator}zero`,C=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(m&&(A.push(u+N),n.ordinal&&N.indexOf(C)===0&&A.push(u+N.replace(C,this.options.pluralSeparator)),f&&A.push(u+I)),x){const O=`${u}${this.options.contextSeparator}${n.context}`;A.push(O),m&&(A.push(O+N),n.ordinal&&N.indexOf(C)===0&&A.push(O+N.replace(C,this.options.pluralSeparator)),f&&A.push(O+I))}}let w;for(;w=A.pop();)this.isValidLookup(i)||(s=w,i=this.getResource(b,g,w,n))}))})}),{res:i,usedKey:a,exactUsedKey:s,usedLng:o,usedNS:l}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,i){var s;let a=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return(s=this.i18nFormat)!=null&&s.getResource?this.i18nFormat.getResource(t,n,i,a):this.resourceStore.getResource(t,n,i,a)}getUsedParamsDetails(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};const n=["defaultValue","ordinal","context","replace","lng","lngs","fallbackLng","ns","keySeparator","nsSeparator","returnObjects","returnDetails","joinArrays","postProcess","interpolation"],i=t.replace&&!we(t.replace);let a=i?t.replace:t;if(i&&typeof t.count<"u"&&(a.count=t.count),this.options.interpolation.defaultVariables&&(a={...this.options.interpolation.defaultVariables,...a}),!i){a={...a};for(const s of n)delete a[s]}return a}static hasDefaultValue(t){const n="defaultValue";for(const i in t)if(Object.prototype.hasOwnProperty.call(t,i)&&n===i.substring(0,n.length)&&t[i]!==void 0)return!0;return!1}}class mk{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=ai.create("languageUtils")}getScriptPartFromCode(t){if(t=mh(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=mh(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(we(t)&&t.indexOf("-")>-1){let n;try{n=Intl.getCanonicalLocales(t)[0]}catch{}return n&&this.options.lowerCaseLng&&(n=n.toLowerCase()),n||(this.options.lowerCaseLng?t.toLowerCase():t)}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(i=>{if(n)return;const a=this.formatLanguageCode(i);(!this.options.supportedLngs||this.isSupportedCode(a))&&(n=a)}),!n&&this.options.supportedLngs&&t.forEach(i=>{if(n)return;const a=this.getLanguagePartFromCode(i);if(this.isSupportedCode(a))return n=a;n=this.options.supportedLngs.find(s=>{if(s===a)return s;if(!(s.indexOf("-")<0&&a.indexOf("-")<0)&&(s.indexOf("-")>0&&a.indexOf("-")<0&&s.substring(0,s.indexOf("-"))===a||s.indexOf(a)===0&&a.length>1))return s})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),we(t)&&(t=[t]),Array.isArray(t))return t;if(!n)return t.default||[];let i=t[n];return i||(i=t[this.getScriptPartFromCode(n)]),i||(i=t[this.formatLanguageCode(n)]),i||(i=t[this.getLanguagePartFromCode(n)]),i||(i=t.default),i||[]}toResolveHierarchy(t,n){const i=this.getFallbackCodes(n||this.options.fallbackLng||[],t),a=[],s=o=>{o&&(this.isSupportedCode(o)?a.push(o):this.logger.warn(`rejecting language code not found in supportedLngs: ${o}`))};return we(t)&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&s(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&s(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&s(this.getLanguagePartFromCode(t))):we(t)&&s(this.formatLanguageCode(t)),i.forEach(o=>{a.indexOf(o)<0&&s(this.formatLanguageCode(o))}),a}}const hk={zero:0,one:1,two:2,few:3,many:4,other:5},fk={select:e=>e===1?"one":"other",resolvedOptions:()=>({pluralCategories:["one","other"]})};class _H{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=ai.create("pluralResolver"),this.pluralRulesCache={}}addRule(t,n){this.rules[t]=n}clearCache(){this.pluralRulesCache={}}getRule(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const i=mh(t==="dev"?"en":t),a=n.ordinal?"ordinal":"cardinal",s=JSON.stringify({cleanedCode:i,type:a});if(s in this.pluralRulesCache)return this.pluralRulesCache[s];let o;try{o=new Intl.PluralRules(i,{type:a})}catch{if(!Intl)return this.logger.error("No Intl support, please use an Intl polyfill!"),fk;if(!t.match(/-|_/))return fk;const c=this.languageUtils.getLanguagePartFromCode(t);o=this.getRule(c,n)}return this.pluralRulesCache[s]=o,o}needsPlural(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},i=this.getRule(t,n);return i||(i=this.getRule("dev",n)),(i==null?void 0:i.resolvedOptions().pluralCategories.length)>1}getPluralFormsOfKey(t,n){let i=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};return this.getSuffixes(t,i).map(a=>`${n}${a}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},i=this.getRule(t,n);return i||(i=this.getRule("dev",n)),i?i.resolvedOptions().pluralCategories.sort((a,s)=>hk[a]-hk[s]).map(a=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${a}`):[]}getSuffix(t,n){let i=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const a=this.getRule(t,i);return a?`${this.options.prepend}${i.ordinal?`ordinal${this.options.prepend}`:""}${a.select(n)}`:(this.logger.warn(`no plural rule found for: ${t}`),this.getSuffix("dev",n,i))}}const gk=function(e,t,n){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",a=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,s=AH(e,t,n);return!s&&a&&we(n)&&(s=Xv(e,n,i),s===void 0&&(s=Xv(t,n,i))),s},Fx=e=>e.replace(/\$/g,"$$$$");class PH{constructor(){var n;let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=ai.create("interpolator"),this.options=t,this.format=((n=t==null?void 0:t.interpolation)==null?void 0:n.format)||(i=>i),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const{escape:n,escapeValue:i,useRawValueToEscape:a,prefix:s,prefixEscaped:o,suffix:l,suffixEscaped:c,formatSeparator:d,unescapeSuffix:u,unescapePrefix:p,nestingPrefix:m,nestingPrefixEscaped:f,nestingSuffix:x,nestingSuffixEscaped:h,nestingOptionsSeparator:g,maxReplaces:y,alwaysFormat:v}=t.interpolation;this.escape=n!==void 0?n:kH,this.escapeValue=i!==void 0?i:!0,this.useRawValueToEscape=a!==void 0?a:!1,this.prefix=s?co(s):o||"{{",this.suffix=l?co(l):c||"}}",this.formatSeparator=d||",",this.unescapePrefix=u?"":p||"-",this.unescapeSuffix=this.unescapePrefix?"":u||"",this.nestingPrefix=m?co(m):f||co("$t("),this.nestingSuffix=x?co(x):h||co(")"),this.nestingOptionsSeparator=g||",",this.maxReplaces=y||1e3,this.alwaysFormat=v!==void 0?v:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=(n,i)=>(n==null?void 0:n.source)===i?(n.lastIndex=0,n):new RegExp(i,"g");this.regexp=t(this.regexp,`${this.prefix}(.+?)${this.suffix}`),this.regexpUnescape=t(this.regexpUnescape,`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`),this.nestingRegexp=t(this.nestingRegexp,`${this.nestingPrefix}(.+?)${this.nestingSuffix}`)}interpolate(t,n,i,a){var f;let s,o,l;const c=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{},d=x=>{if(x.indexOf(this.formatSeparator)<0){const v=gk(n,c,x,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(v,void 0,i,{...a,...n,interpolationkey:x}):v}const h=x.split(this.formatSeparator),g=h.shift().trim(),y=h.join(this.formatSeparator).trim();return this.format(gk(n,c,g,this.options.keySeparator,this.options.ignoreJSONStructure),y,i,{...a,...n,interpolationkey:g})};this.resetRegExp();const u=(a==null?void 0:a.missingInterpolationHandler)||this.options.missingInterpolationHandler,p=((f=a==null?void 0:a.interpolation)==null?void 0:f.skipOnVariables)!==void 0?a.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:x=>Fx(x)},{regex:this.regexp,safeValue:x=>this.escapeValue?Fx(this.escape(x)):Fx(x)}].forEach(x=>{for(l=0;s=x.regex.exec(t);){const h=s[1].trim();if(o=d(h),o===void 0)if(typeof u=="function"){const y=u(t,s,a);o=we(y)?y:""}else if(a&&Object.prototype.hasOwnProperty.call(a,h))o="";else if(p){o=s[0];continue}else this.logger.warn(`missed to pass in variable ${h} for interpolating ${t}`),o="";else!we(o)&&!this.useRawValueToEscape&&(o=sk(o));const g=x.safeValue(o);if(t=t.replace(s[0],g),p?(x.regex.lastIndex+=o.length,x.regex.lastIndex-=s[0].length):x.regex.lastIndex=0,l++,l>=this.maxReplaces)break}}),t}nest(t,n){let i=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},a,s,o;const l=(c,d)=>{const u=this.nestingOptionsSeparator;if(c.indexOf(u)<0)return c;const p=c.split(new RegExp(`${u}[ ]*{`));let m=`{${p[1]}`;c=p[0],m=this.interpolate(m,o);const f=m.match(/'/g),x=m.match(/"/g);(((f==null?void 0:f.length)??0)%2===0&&!x||x.length%2!==0)&&(m=m.replace(/'/g,'"'));try{o=JSON.parse(m),d&&(o={...d,...o})}catch(h){return this.logger.warn(`failed parsing options string in nesting for key ${c}`,h),`${c}${u}${m}`}return o.defaultValue&&o.defaultValue.indexOf(this.prefix)>-1&&delete o.defaultValue,c};for(;a=this.nestingRegexp.exec(t);){let c=[];o={...i},o=o.replace&&!we(o.replace)?o.replace:o,o.applyPostProcessor=!1,delete o.defaultValue;let d=!1;if(a[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(a[1])){const u=a[1].split(this.formatSeparator).map(p=>p.trim());a[1]=u.shift(),c=u,d=!0}if(s=n(l.call(this,a[1].trim(),o),o),s&&a[0]===t&&!we(s))return s;we(s)||(s=sk(s)),s||(this.logger.warn(`missed to resolve ${a[1]} for nesting ${t}`),s=""),d&&(s=c.reduce((u,p)=>this.format(u,p,i.lng,{...i,interpolationkey:a[1].trim()}),s.trim())),t=t.replace(a[0],s),this.regexp.lastIndex=0}return t}}const TH=e=>{let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const i=e.split("(");t=i[0].toLowerCase().trim();const a=i[1].substring(0,i[1].length-1);t==="currency"&&a.indexOf(":")<0?n.currency||(n.currency=a.trim()):t==="relativetime"&&a.indexOf(":")<0?n.range||(n.range=a.trim()):a.split(";").forEach(o=>{if(o){const[l,...c]=o.split(":"),d=c.join(":").trim().replace(/^'+|'+$/g,""),u=l.trim();n[u]||(n[u]=d),d==="false"&&(n[u]=!1),d==="true"&&(n[u]=!0),isNaN(d)||(n[u]=parseInt(d,10))}})}return{formatName:t,formatOptions:n}},uo=e=>{const t={};return(n,i,a)=>{let s=a;a&&a.interpolationkey&&a.formatParams&&a.formatParams[a.interpolationkey]&&a[a.interpolationkey]&&(s={...s,[a.interpolationkey]:void 0});const o=i+JSON.stringify(s);let l=t[o];return l||(l=e(mh(i),a),t[o]=l),l(n)}};class DH{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=ai.create("formatter"),this.options=t,this.formats={number:uo((n,i)=>{const a=new Intl.NumberFormat(n,{...i});return s=>a.format(s)}),currency:uo((n,i)=>{const a=new Intl.NumberFormat(n,{...i,style:"currency"});return s=>a.format(s)}),datetime:uo((n,i)=>{const a=new Intl.DateTimeFormat(n,{...i});return s=>a.format(s)}),relativetime:uo((n,i)=>{const a=new Intl.RelativeTimeFormat(n,{...i});return s=>a.format(s,i.range||"day")}),list:uo((n,i)=>{const a=new Intl.ListFormat(n,{...i});return s=>a.format(s)})},this.init(t)}init(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}};this.formatSeparator=n.interpolation.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=uo(n)}format(t,n,i){let a=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};const s=n.split(this.formatSeparator);if(s.length>1&&s[0].indexOf("(")>1&&s[0].indexOf(")")<0&&s.find(l=>l.indexOf(")")>-1)){const l=s.findIndex(c=>c.indexOf(")")>-1);s[0]=[s[0],...s.splice(1,l)].join(this.formatSeparator)}return 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0:s.init)==null||o.call(s,i,a.backend,a)}queueLoad(t,n,i,a){const s={},o={},l={},c={};return t.forEach(d=>{let u=!0;
vendor: 13,319 bytes, line 313
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xk=()=>({debug:!1,initAsync:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:e=>{let t={};if(typeof e[1]=="object"&&(t=e[1]),we(e[1])&&(t.defaultValue=e[1]),we(e[2])&&(t.tDescription=e[2]),typeof e[2]=="object"||typeof e[3]=="object"){const n=e[3]||e[2];Object.keys(n).forEach(i=>{t[i]=n[i]})}return t},interpolation:{escapeValue:!0,format:e=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}),yk=e=>{var t,n;return we(e.ns)&&(e.ns=[e.ns]),we(e.fallbackLng)&&(e.fallbackLng=[e.fallbackLng]),we(e.fallbackNS)&&(e.fallbackNS=[e.fallbackNS]),((n=(t=e.supportedLngs)==null?void 0:t.indexOf)==null?void 0:n.call(t,"cimode"))<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),typeof e.initImmediate=="boolean"&&(e.initAsync=e.initImmediate),e},Gp=()=>{},RH=e=>{Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})};class zd extends rg{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=yk(t),this.services={},this.logger=ai,this.modules={external:[]},RH(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initAsync)return 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firm data and external financial sources.",whenToEvaluateAlternatives:"Evaluate alternatives when the priority is a narrower document-analysis layer, a dedicated context graph or a different deployment architecture."},relatedSolutions:ig("rogo"),commercialProfile:ag,peAiClassification:{peRelevance:"High",evidenceConfidence:"High",lastVerified:Ha},optionalValueFields:{portfolioValueRelevance:"Relevant"},evidence:fW,claims:[te("identity.platform","Platform","Rogo",["rogo-product","rogo-company"],"Verified fact"),te("identity.country","Country","USA",["rogo-company"],"Verified fact"),te("identity.officialWebsite","Official website","rogo.ai",["rogo-product"],"Verified fact"),te("identity.shortDescription","Short description","Finance-focused AI research and workflow platform",["rogo-product","rogo-openai"]),te("peClassification.primaryWorkflow","Primary workflow","Financial Research & Workflow Intelligence",["rogo-product","rogo-update"]),te("peClassification.peStages","PE stages","Origination · Research · Due Diligence · Investment Committee · Portfolio",["rogo-product","rogo-update","rogo-openai"]),te("peClassification.lifecycleFit","Lifecycle fit","Origination: Relevant · Research: Core · Due Diligence: Core · Investment Committee: Relevant · Portfolio: Relevant · Exit: Not assessed",["rogo-product","rogo-update","rogo-openai","rogo-datasite"]),te("peClassification.deploymentModel","Deployment model","Buy",["rogo-product"]),te("capability.automationPotential","Automation potential","High",["rogo-product","rogo-update","rogo-openai"]),te("capability.primaryUseCases","Primary use cases","Research · Screening · Diligence · Market analysis · Memo drafting · Portfolio updates",["rogo-product","rogo-update","rogo-openai"]),te("capability.requiredContext","Required context","Firm, deal, financial-data, methodology and workflow context",["rogo-product","rogo-update","rogo-datasite"]),te("capability.humanGate","Human gate","Not assessed",["rogo-product"]),te("capability.workflowCoverage","Workflow coverage","Broad",["rogo-product","rogo-update"]),te("institutionalReadiness.institutionalDeploymentEvidence","Institutional deployment evidence","Strong",["rogo-openai","rogo-datasite"]),te("institutionalReadiness.securitySuitability","Security suitability","Strong",["rogo-security","rogo-datasite"]),te("institutionalReadiness.integrationCapability","Integration capability","Strong",["rogo-product","rogo-update","rogo-datasite"]),te("institutionalReadiness.peAdoptionEvidence","PE adoption evidence","Moderate",["rogo-openai","rogo-update"]),te("commercial.pricingStatus","Pricing status","Not publicly disclosed",["rogo-pricing"],"Verified fact"),te("peAiClassification.peRelevance","PE relevance","High",["rogo-update","rogo-openai","rogo-datasite"]),te("peAiClassification.evidenceConfidence","Evidence confidence","High",["rogo-product","rogo-security","rogo-openai","rogo-datasite"])]},gW=[qe("blueflame-platform","Blueflame AI Platform","https://blueflame.ai/platform","Official product documentation","Blueflame AI","Describes finance-native agentic workflows, source-grounded outputs, connected context and user judgment checkpoints."),qe("blueflame-pe","AI for Private Equity Firms","https://blueflame.ai/solutions/private-equity","Official product documentation","Blueflame AI","Documents sourcing, diligence, investment-committee materials, portfolio monitoring, reporting and human-in-the-loop review."),qe("blueflame-security","Protecting your data with enterprise-grade security","https://blueflame.ai/security","Official security documentation","Blueflame AI","Publishes SOC 2 Type II, GDPR, CPRA and G
313LBA claims and describes isolated client-data environments."),qe("blueflame-integrations","Integrations","https://blueflame.ai/integrations","Official product documentation","Blueflame AI","Lists Datasite, DealCloud, FactSet, Grata, Salesforce and S&P Capital IQ integrations."),qe("blueflame-team","About Blueflame AI","https://blueflame.ai/team","Official company announcement","Blueflame AI","Lists New York, London and Sydney offices and publishes selected investment-firm testimonials."),qe("blueflame-acquisition","Datasite Acquires Leading Agentic AI Company Blueflame","https://blueflame.ai/news/datasite-acquires-leading-agentic-ai-company-blueflame","Official company announcement","Datasite / Blueflame AI","Documents Datasite's acquisition, Blueflame's finance focus and workflows across sourcing, diligence, market research and fundraising."),qe("blueflame-pricing","Blueflame AI public website","https://blueflame.ai/","PrivateEquity.AI source review","PrivateEquity.AI","Public pages were reviewed and provide a demo CTA without displaying public prices.")],Sk={id:"blueflame-ai",slug:"blueflame-ai",identity:{platform:"BlueFlame AI",country:"USA",category:"Private Markets Deal Intelligence",officialWebsite:"https://blueflame.ai",shortDescription:"AI platform for private-markets research, diligence and connected investment workflows.",lastVerified:Ha,pricingStatus:"Not publicly disclosed"},seo:{title:"BlueFlame AI Intelligence Profile | PrivateEquity.AI",description:"Independent BlueFlame AI profile covering PE workflow fit, agentic use cases, institutional readiness and verified public evidence.",keywords:"BlueFlame AI private equity, private markets AI, deal intelligence, diligence AI",socialDescription:"Independent profile of BlueFlame AI for private-markets research, diligence and portfolio workflows.",dateModified:np},peClassification:{primaryWorkflow:"Private Markets Deal Intelligence",peStages:["Origination","Research","Due Diligence","Investment Committee","Portfolio"],lifecycleFit:[{stage:"Origination",status:"Relevant"},{stage:"Research",status:"Relevant"},{stage:"Due Diligence",status:"Core"},{stage:"Investment Committee",status:"Relevant"},{stage:"Portfolio",status:"Relevant"},{stage:"Exit",status:"Not assessed"}],deploymentModel:"Buy"},capability:{automationPotential:"High",deploymentExplanation:"BlueFlame AI is offered as a web-based commercial platform with an application login, connected data sources and an Excel add-in.",automationExplanation:"Its Amp agent coordinates models, tools, sources and finance skills across multi-step research, diligence, modelling and drafting workflows.",humanAccountabilityStatement:"The product states that it pauses when user judgment is needed and keeps critical decisions with the investment professional.",primaryUseCases:["Deal sourcing and screening","CIM and data-room review","Expert-call analysis","Financial analysis and modelling","IC memo and deck drafting","Portfolio and investor reporting"],requiredContext:["Firm knowledge and prior deals","Data-room and deal documents","Market and financial data","Connected CRM and firm systems","Workflow-specific templates and instructions"],humanGate:"User judgment and approval at critical workflow points",workflowCoverage:"Broad"},institutionalReadiness:{institutionalDeploymentEvidence:"Strong",securitySuitability:"Strong",integrationCapability:"Strong",peAdoptionEvidence:"Strong"},commercial:{pricingStatus:"Not publicly disclosed"},decisionSnapshot:{bestSuitedFor:"Private-markets teams seeking connected agentic workflows with explicit review points",corePeStage:"Due Diligence",institutionalReadiness:"Strong"},privateEquityView:{bestSuitedFor:"Private-equity teams seeking a finance-native workspace spanning sourcing, diligence, investment materials and portfolio reporting.",keyStrength:"Explicit private-markets workflow coverage with connected sources and documented human judgment checkpoints.",keyConsideration:"Integration depth, data-residency options, output controls and workflow entitlements should be validated during evaluation.",whenToEvaluate:"Evaluate BlueFlame AI when multiple private-markets workflows need a common agentic layer across firm, market and transaction data.",whenToEvaluateAlternatives:"Evaluate alternatives when the priority is a narrower document-analysis system, context graph or customer-controlled deployment architecture."},relatedSolutions:ig("blueflame-ai"),commercialProfile:ag,peAiClassification:{peRelevance:"High",evidenceConfidence:"High",lastVerified:Ha},optionalValueFields:{portfolioValueRelevance:"Relevant"},evidence:gW,claims:[te("identity.platform","Platform","BlueFlame AI",["blueflame-platform","blueflame-acquisition"],"Verified fact"),te("identity.country","Country","USA",["blueflame-team"],"Verified fact"),te("identity.officialWebsite","Official website","blueflame.ai",["blueflame-platform"],"Verified fact"),te("identity.shortDescription","Short description","AI platform for private-markets research, diligence and connected investment workflows",["blueflame-platform","blueflame-pe"]),te("peClassification.primaryWorkflow","Primary workflow","Private Markets Deal Intelligence",["blueflame-platform","blueflame-pe"]),te("peClassification.peStages","PE stages","Origination · Research · Due Diligence · Investment Committee · Portfolio",["blueflame-pe","blueflame-acquisition"]),te("peClassification.lifecycleFit","Lifecycle fit","Origination: Relevant · Research: Relevant · Due Diligence: Core · Investment Committee: Relevant · Portfolio: Relevant · Exit: Not assessed",["blueflame-pe"]),te("peClassification.deploymentModel","Deployment model","Buy",["blueflame-platform"]),te("capability.automationPotential","Automation potential","High",["blueflame-platform","blueflame-pe","blueflame-acquisition"]),te("capability.primaryUseCases","Primary use cases","Sourcing · Diligence · Calls · Modelling · IC materials · Reporting",["blueflame-pe"]),te("capability.requiredContext","Required context","Firm, deal, market, financial and connected-system context",["blueflame-platform","blueflame-pe","blueflame-integrations"]),te("capability.humanGate","Human gate","User judgment and approval at critical workflow points",["blueflame-platform","blueflame-pe"]),te("capability.workflowCoverage","Workflow coverage","Broad",["blueflame-pe","blueflame-acquisition"]),te("institutionalReadiness.institutionalDeploymentEvidence","Institutional deployment evidence","Strong",["blueflame-team","blueflame-acquisition"]),te("institutionalReadiness.securitySuitability","Security suitability","Strong",["blueflame-security"]),te("institutionalReadiness.integrationCapability","Integration capability","Strong",["blueflame-integrations","blueflame-acquisition"]),te("institutionalReadiness.peAdoptionEvidence","PE adoption evidence","Strong",["blueflame-pe","blueflame-team"]),te("commercial.pricingStatus","Pricing status","Not publicly disclosed",["blueflame-pricing"],"Verified fact"),te("peAiClassification.peRelevance","PE relevance","High",["blueflame-pe","blueflame-acquisition"]),te("peAiClassification.evidenceConfidence","Evidence confidence","High",["blueflame-platform","blueflame-pe","blueflame-security","blueflame-acquisition"])]},xW=[qe("modelml-home","Model ML","https://modelml.com/","Official product documentation","Model ML","Identifies the finance-agent product, office locations and demo-led commercial motion."),qe("modelml-pe","Private Equity","https://modelml.com/customers/private-equity","Official product documentation","Model ML","Documents PE screening, CIM anal
313ysis, diligence questions, investment memos, monitoring and preparation workflows."),qe("modelml-security","Maximum security as the minimum requirement","https://modelml.com/security","Official security documentation","Model ML","Publishes security, identity, encryption, no-training, isolated-storage and customer-infrastructure deployment claims."),qe("modelml-trust","Trust Center - Model ML","https://trust.modelml.com/","Official security documentation","Model ML","Lists SOC 2 Type II, ISO 27001:2022 and penetration-test resources, some of which require access."),qe("modelml-integrations","Model ML Integrations: Financial Data Connectors and MCP","https://www.modelml.com/articles/model-ml-integrations-financial-data-connectors-and-mcp","Official product documentation","Model ML","Describes financial-data, filings, CRM and internal-file connectors plus MCP support for proprietary systems."),qe("modelml-notetaker","Notetaker","https://modelml.com/product/notetaker","Official product documentation","Model ML","Describes automated transcripts, summaries, meeting preparation, exports and governance controls."),qe("modelml-thirdbridge","New collaboration: Model ML","https://www.thirdbridge.com/en-us/about-us/media/news/third-bridge-announces-new-collaboration-with-model-ml","Official company announcement","Third Bridge","Partner announcement describing expert-insight and financial-data synthesis into investment memos and reports for diligence."),qe("modelml-pricing","Model ML public product pages","https://modelml.com/","PrivateEquity.AI source review","PrivateEquity.AI","Public pages were reviewed and direct prospects to book a demo without displaying public prices.")],Ck={id:"model-ml",slug:"model-ml",identity:{platform:"Model ML",country:"USA",category:"Financial Workflow Intelligence",officialWebsite:"https://modelml.com",shortDescription:"Finance-specific AI workspace for screening, diligence, financial analysis and investment work products.",lastVerified:Ha,pricingStatus:"Not publicly disclosed"},seo:{title:"Model ML Intelligence Profile | PrivateEquity.AI",description:"Independent Model ML profile covering private-equity use cases, deployment, institutional readiness and verified public evidence.",keywords:"Model ML private equity, finance agent, diligence AI, investment memo AI",socialDescription:"Independent profile of Model ML for finance workflows, diligence and investment work products.",dateModified:np},peClassification:{primaryWorkflow:"Financial Workflow Intelligence",peStages:["Origination","Research","Due Diligence","Investment Committee","Portfolio"],lifecycleFit:[{stage:"Origination",status:"Relevant"},{stage:"Research",status:"Relevant"},{stage:"Due Diligence",status:"Core"},{stage:"Investment Committee",status:"Relevant"},{stage:"Portfolio",status:"Relevant"},{stage:"Exit",status:"Not assessed"}],deploymentModel:"Buy"},capability:{automationPotential:"High",deploymentExplanation:"Model ML is a commercial finance workspace with documented isolated-storage and customer-infrastructure deployment options.",automationExplanation:"The product automates finance deliverables, document review, transcripts, summaries and connected multi-source workflows.",humanAccountabilityStatement:"Mandatory product-level approval controls are not publicly assessed; investment judgment and accountability remain with the investment team.",primaryUseCases:["PE screening","CIM and diligence analysis","Market and competitive research","Expert-interview synthesis","Investment memo and report drafting","Portfolio monitoring and meeting preparation"],requiredContext:["CIMs and deal documents","Market reports and expert interviews","Financial and market data","CRM and internal files","Deal context, skills and templates"],humanGate:"Not assessed",workflowCoverage:"Broad"},institutionalReadiness:{institutionalDeploymentEvidence:"Moderate",securitySuitability:"Strong",integrationCapability:"Strong",peAdoptionEvidence:"Moderate"},commercial:{pricingStatus:"Not publicly disclosed"},decisionSnapshot:{bestSuitedFor:"Finance teams automating analysis and recurring investment work products",corePeStage:"Due Diligence",institutionalReadiness:"Moderate"},privateEquityView:{bestSuitedFor:"Investment teams seeking finance-specific workflows for screening, diligence, meetings and investment deliverables.",keyStrength:"Combination of finance context, workflow surfaces and connectors across documents, meetings and institutional outputs.",keyConsideration:"Customer references, mandatory approval controls, deployment boundaries and connector entitlements require firm-specific validation.",whenToEvaluate:"Evaluate Model ML when recurring financial analysis and investment work products need a common finance-specific workspace.",whenToEvaluateAlternatives:"Evaluate alternatives when independently documented PE deployment scale or a narrower specialist workflow is required."},relatedSolutions:ig("model-ml"),commercialProfile:ag,peAiClassification:{peRelevance:"High",evidenceConfidence:"Medium",lastVerified:Ha},optionalValueFields:{portfolioValueRelevance:"Relevant"},evidence:xW,claims:[te("identity.platform","Platform","Model ML",["modelml-home"],"Verified fact"),te("identity.country","Country","USA",["modelml-home"],"Verified fact"),te("identity.officialWebsite","Official website","modelml.com",["modelml-home"],"Verified fact"),te("identity.shortDescription","Short description","Finance-specific AI workspace and workflow platform",["modelml-home","modelml-pe"]),te("peClassification.primaryWorkflow","Primary workflow","Financial Workflow Intelligence",["modelml-home","modelml-pe"]),te("peClassification.peStages","PE stages","Origination · Research · Due Diligence · Investment Committee · Portfolio",["modelml-pe","modelml-thirdbridge"]),te("peClassification.lifecycleFit","Lifecycle fit","Origination: Relevant · Research: Relevant · Due Diligence: Core · Investment Committee: Relevant · Portfolio: Relevant · Exit: Not assessed",["modelml-pe","modelml-thirdbridge"]),te("peClassification.deploymentModel","Deployment model","Buy",["modelml-home","modelml-security"]),te("capability.automationPotential","Automation potential","High",["modelml-pe","modelml-notetaker","modelml-integrations"]),te("capability.primaryUseCases","Primary use cases","Screening · Diligence · Re
313search · Interview synthesis · Memos · Monitoring",["modelml-pe","modelml-notetaker","modelml-thirdbridge"]),te("capability.requiredContext","Required context","Deal, market, interview, financial, CRM and firm context",["modelml-pe","modelml-integrations","modelml-notetaker"]),te("capability.humanGate","Human gate","Not assessed",["modelml-pe"]),te("capability.workflowCoverage","Workflow coverage","Broad",["modelml-pe","modelml-integrations"]),te("institutionalReadiness.institutionalDeploymentEvidence","Institutional deployment evidence","Moderate",["modelml-home","modelml-thirdbridge"]),te("institutionalReadiness.securitySuitability","Security suitability","Strong",["modelml-security","modelml-trust"]),te("institutionalReadiness.integrationCapability","Integration capability","Strong",["modelml-integrations","modelml-notetaker"]),te("institutionalReadiness.peAdoptionEvidence","PE adoption evidence","Moderate",["modelml-pe","modelml-thirdbridge"]),te("commercial.pricingStatus","Pricing status","Not publicly disclosed",["modelml-pricing"],"Verified fact"),te("peAiClassification.peRelevance","PE relevance","High",["modelml-pe","modelml-thirdbridge"]),te("peAiClassification.evidenceConfidence","Evidence confidence","Medium",["modelml-pe","modelml-security","modelml-integrations","modelml-thirdbridge"])]},yW=[qe("metal-home","Metal | AI context layer for private capital","https://www.metal.ai/","Official product documentation","Metal","Describes the Context Graph, source permissions, private-capital focus and public demo-led commercial motion."),qe("metal-pe","Metal | AI context layer for private equity","https://www.metal.ai/strategies/private-equity","Official product documentation","Metal","Documents workflows from sourcing and diligence through portfolio monitoring and exit timing."),qe("metal-workflows","Metal Workflows Overview","https://www.metal.ai/blog/metal-workflows","Official product documentation","Metal","Describes reusable deal-intelligence workflows across sourcing, screening, diligence, portfolio value creation, exit and investor relations."),qe("metal-security","Security Without Compromise","https://www.metal.ai/security","Official security documentation","Metal","Publishes encryption, isolation, SSO, audit, regional-hosting, SOC 2 Type II and GDPR claims; ISO 27001 is described as in progress."),qe("metal-company","Built for Lasting Partnership","https://www.metal.ai/company","Official company announcement","Metal","Official company page stating that Metal is based in New York."),qe("metal-customers","Metal Raises $5M from Base10","https://www.metal.ai/blog/seed-fundraise-announcement","Official company announcement","Metal","Names Berkshire Partners, Clearlake Capital and Blue Wolf Capital as pioneering clients."),qe("metal-clearlake","Clearlake Capital and the Shift Toward AI-Native Investing","https://www.metal.ai/blog/clearlake-capital-and-the-shift-toward-ai-native-investing","Official customer case study","Metal","Vendor-hosted customer story describing Clearlake's use of institutional context and investment-committee knowledge."),qe("metal-dealcloud","Introducing Metal's DealCloud Integration","https://metal.ai/blog/introducing-metals-dealcloud-integration","Official product documentation","Metal","Describes two-way DealCloud synchronization, automated document extraction and CRM updates."),qe("metal-pricing","Metal public product pages","https://www.metal.ai/","PrivateEquity.AI source review","PrivateEquity.AI","Public pages were reviewed and direct prospects to request a demo without displaying public prices.")],Ek={id:"metal",slug:"metal",identity:{platform:"Metal",country:"USA",category:"Private Capital Context Intelligence",officialWebsite:"https://www.metal.ai",shortDescription:"Private-capital context platform connecting firm knowledge, deal information and lifecycle workflows.",lastVerified:Ha,pricingStatus:"Not publicly disclosed"},seo:{title:"Metal Intelligence Profile | PrivateEquity.AI",description:"Independent Metal profile covering private-capital workflow fit, context intelligence, readiness and verified public evidence.",keywords:"Metal AI private equity, private capital AI, context graph, deal intelligence",socialDescription:"Independent profile of Metal for private-capital context and deal-lifecycle workflows.",dateModified:np},peClassification:{primaryWorkflow:"Private Capital Context Intelligence",peStages:["Origination","Research","Due Diligence","Investment Committee","Portfolio","Exit"],lifecycleFit:[{stage:"Origination",status:"Relevant"},{stage:"Research",status:"Relevant"},{stage:"Due Diligence",status:"Core"},{stage:"Investment Committee",status:"Relevant"},{stage:"Portfolio",status:"Relevant"},{stage:"Exit",status:"Relevant"}],deploymentModel:"Buy"},capability:{automationPotential:"High",deploymentExplanation:"Metal is presented as a commercial platform purchased from the vendor. Hosting options and customer-controlled deployment are not publicly assessed.",automationExplanation:"Document extraction, CRM updates, screening, diligence, context retrieval and portfolio workflows are described as automated or agent-assisted.",humanAccountabilityStatement:"Mandatory product-level approval controls are not publicly assessed; investment judgment and accountability remain with the investment team.",primaryUseCases:["Thematic research and s
313ourcing","CIM screening and diligence","Expert-call and VDR analysis","IC memo and decision context","Portfolio monitoring and value creation","Exit readiness and investor reporting"],requiredContext:["Firm deal history and criteria","CIMs, models and financial statements","Expert calls and management materials","CRM and document repositories","Portfolio KPIs and prior IC decisions"],humanGate:"Not assessed",workflowCoverage:"Broad"},institutionalReadiness:{institutionalDeploymentEvidence:"Strong",securitySuitability:"Strong",integrationCapability:"Strong",peAdoptionEvidence:"Strong"},commercial:{pricingStatus:"Not publicly disclosed"},decisionSnapshot:{bestSuitedFor:"Private-capital firms building reusable institutional context across the deal lifecycle",corePeStage:"Due Diligence",institutionalReadiness:"Strong"},privateEquityView:{bestSuitedFor:"Private-capital teams seeking a context layer spanning deals, documents, decisions, relationships and portfolio information.",keyStrength:"Explicit private-equity lifecycle coverage built around reusable institutional context and connected firm systems.",keyConsideration:"Deployment architecture, mandatory approval controls and the scope of each integration should be confirmed during diligence.",whenToEvaluate:"Evaluate Metal when fragmented deal history and institutional knowledge limit sourcing, diligence, IC preparation or portfolio monitoring.",whenToEvaluateAlternatives:"Evaluate alternatives when the primary need is standalone document analysis, generic financial research or a specifically documented customer-controlled deployment."},relatedSolutions:ig("metal"),commercialProfile:ag,peAiClassification:{peRelevance:"High",evidenceConfidence:"High",lastVerified:Ha},optionalValueFields:{portfolioValueRelevance:"Relevant"},evidence:yW,claims:[te("identity.platform","Platform","Metal",["metal-home","metal-company"],"Verified fact"),te("identity.country","Country","USA",["metal-company"],"Verified fact"),te("identity.officialWebsite","Official website","metal.ai",["metal-home"],"Verified fact"),te("identity.shortDescription","Short description","Private-capital context and lifecycle intelligence platform",["metal-home","metal-pe"]),te("peClassification.primaryWorkflow","Primary workflow","Private Capital Context Intelligence",["metal-home","metal-workflows"]),te("peClassification.peStages","PE stages","Origination · Research · Due Diligence · Investment Committee · Portfolio · Exit",["metal-pe","metal-workflows"]),te("peClassification.lifecycleFit","Lifecycle fit","Origination: Relevant · Research: Relevant · Due Diligence: Core · Investment Committee: Relevant · Portfolio: Relevant · Exit: Relevant",["metal-pe","metal-workflows"]),te("peClassification.deploymentModel","Deployment model","Buy",["metal-home"]),te("capability.automationPotential","Automation potential","High",["metal-workflows","metal-dealcloud"]),te("capability.primaryUseCases","Primary use cases","Sourcing · Diligence · Calls/VDR · IC context · Portfolio · Exit",["metal-pe","metal-workflows","metal-clearlake"]),te("capability.requiredContext","Required context","Firm, deal, document, CRM, portfolio and decision context",["metal-home","metal-workflows","metal-clearlake"]),te("capability.humanGate","Human gate","Not assessed",["metal-workflows"]),te("capability.workflowCoverage","Workflow coverage","Broad",["metal-pe","metal-workflows"]),te("institutionalReadiness.institutionalDeploymentEvidence","Institutional deployment evidence","Strong",["metal-customers","metal-clearlake"]),te("institutionalReadiness.securitySuitability","Security suitability","Strong",["metal-security"]),te("institutionalReadiness.integrationCapability","Integration capability","Strong",["metal-dealcloud","metal-workflows"]),te("institutionalReadiness.peAdoptionEvidence","PE adoption evidence","Strong",["metal-customers","metal-clearlake"]),te("commercial.pricingStatus","Pricing status","Not publicly disclosed",["metal-pricing"],"Verified fact"),te("peAiClassification.peRelevance","PE relevance","High",["metal-pe","metal-workflows","metal-customers"]),te("peAiClassification.evidenceConfidence","Evidence confidence","High",["metal-pe","metal-security","metal-customers","metal-clearlake"])]},vW=[{id:"hebbia-product",sourceTitle:"Product",sourceUrl:"https://www.hebbia.com/product",sourceType:"Official product documentation",publisher:"Hebbia",verificationDate:"2026-09-01",evidenceNote:"Documents Max for researching and analysing deals, Matrix for analysis across documents with traceability, and workflows for finance."},{id:"hebbia-security",sourceTitle:"The most secure enterprise AI Platform",sourceUrl:"https://www.hebbia.com/security",sourceType:"Official security documentation",publisher:"Hebbia",verificationDate:"2026-09-01",evidenceNote:"Publishes security and data-protection information including encryption, no training on user data, ISO and SOC 2 references."},{id:"hebbia-dpa",sourceTitle:"Hebbia Data Processing Agreement",sourceUrl:"https://www.hebbia.com/dpa",sourceType:"Official security documentation",publisher:"Hebbia",verificationDate:"2026-09-01",evidenceNote:"Official agreement identifying Hebbia Inc. and its New York business address."},{id:"hebbia-deeper-research",sourceTitle:"A Look Inside Hebbia's Deeper Research Agent",sourceUrl:"https://www.hebbia.com/blog/inside-hebbias-deeper-research-agent",sourceType:"Official product documentation",publisher:"Hebbia",verificationDate:"2026-09-01",evidenceNote:"Describes research across private documents and external data sources for investing, banking and law."},{id:"hebbia-private-equity",sourceTitle:"How Private Equity Firms Are Using AI in the Investment Process",sourceUrl:"https://www.hebbia.com/resources/private-equity-ai",sourceType:"Vendor claim",publisher:"Hebbia",verificationDate:"2026-09-01",evidenceNote:"Vendor-published resource describing VDR review, investment-process workflows and investment committee memo preparation."},{id:"hebbia-matrix-2",sourceTitle:"Introducing Matrix 2.0",sourceUrl:"https://www.hebbia.com/blog/introducing-matrix-2-0",sourceType:"Official product documentation",publisher:"Hebbia",verificationDate:"2026-09-01",evidenceNote:"States that AI extraction and summarisation do n
313ot replace expert judgment and describes work across documents, financial data and research."},{id:"openai-hebbia",sourceTitle:"Hebbia's deep research automates 90% of finance and legal work, powered by OpenAI",sourceUrl:"https://openai.com/index/hebbia/",sourceType:"Official customer case study",publisher:"OpenAI",verificationDate:"2026-09-01",evidenceNote:"Customer story describing document-heavy finance and legal workflows and Hebbia's Matrix platform. Any performance statement remains a published customer claim, not an independent benchmark."},{id:"claude-hebbia",sourceTitle:"Customer story | Hebbia",sourceUrl:"https://claude.com/customers/hebbia",sourceType:"Official customer case study",publisher:"Anthropic",verificationDate:"2026-09-01",evidenceNote:"Customer story describing Hebbia as a platform for knowledge work and complex document analysis. Adoption statements remain published customer claims."},{id:"hebbia-preqin",sourceTitle:"Hebbia Empowers Platform Users with Preqin Data; Transforming Private Markets Workflows",sourceUrl:"https://www.businesswire.com/news/home/20251216371604/en/Hebbia-Empowers-Platform-Users-with-Preqin-Data-Transforming-Private-Markets-Workflows",sourceType:"Official company announcement",publisher:"Business Wire / Hebbia",verificationDate:"2026-09-01",evidenceNote:"Announcement describes a Preqin data integration and private-markets workflows including screening, diligence and portfolio monitoring. Customer adoption figures in the release are vendor-published claims."},{id:"hebbia-pricing-review",sourceTitle:"Hebbia public product and demo pages",sourceUrl:"https://www.hebbia.com/product",sourceType:"PrivateEquity.AI source review",publisher:"PrivateEquity.AI",verificationDate:"2026-09-01",evidenceNote:"The public product page was reviewed on the verification date and directs visitors to request a demo without displaying a public price. This records public availability only, not contract pricing."}],_k={id:"hebbia",slug:"hebbia",identity:{platform:"Hebbia",country:"USA",category:"Document & Institutional Intelligence",officialWebsite:"https://www.hebbia.com",shortDescription:"Institutional platform for document-intensive investment research, diligence and source-grounded analysis.",lastVerified:"September 2026",pricingStatus:"Not publicly disclosed"},seo:{title:"Hebbia Intelligence Profile | PrivateEquity.AI",description:"Hebbia Intelligence Profile by PrivateEquity.AI â PE workflow fit, due diligence use cases, institutional readiness, evidence and independent classification.",keywords:"Hebbia private equity, Hebbia diligence, document intelligence, investment research AI",socialDescription:"Independent profile of Hebbia for private-equity research and diligence workflows.",dateModified:"2026-09-01"},peClassification:{primaryWorkflow:"Document & Institutional Intelligence",peStages:["Origination","Research","Due Diligence","Investment Committee"],lifecycleFit:[{stage:"Origination",status:"Relevant"},{stage:"Research",status:"Relevant"},{stage:"Due Diligence",status:"Core"},{stage:"Investment Committee",status:"Relevant"},{stage:"Portfolio",status:"Secondary"},{stage:"Exit",status:"Not assessed"}],deploymentModel:"Buy"},capability:{automationPotential:"High",deploymentExplanation:"Hebbia is presented as a commercial institutional platform rather than a build-your-own agent architecture. Implementation requirements are not publicly assessed here.",automationExplanation:"Document review, cross-source research, extraction, synthesis and traceable analysis can be accelerated based on documented product capabilities.",humanAccountabilityStatement:"Investment judgment and accountability remain with the investment team.",primaryUseCases:["Large-scale document analysis","Investment research","Data-room analysis","Financial and document synthesis","Source-grounded research","Institutional knowledge workflows"],requiredContext:["Proprietary firm documents","Deal documents","Financial information","Internal knowledge","External information sources"],humanGate:"Expert judgment remains with the deal team; mandatory product-level approval controls are not assessed",workflowCoverage:"Broad"},institutionalReadiness:{institutionalDeploymentEvidence:"Strong",securitySuitability:"Strong",integrationCapability:"Strong",peAdoptionEvidence:"Strong"},commercial:{pricingStatus:"Not publicly disclosed"},decisionSnapshot:{bestSuitedFor:"Document-intensive investment workflows",corePeStage:"Due Diligence",institutionalReadiness:"Strong"},privateEquityView:{bestSuitedFor:"Document-intensive investment workflows requiring analysis across large proprietary and external information sets.",keyStrength:"Institutional-scale document and research workflows with source-grounded analysis.",keyConsideration:"Implementation requirements, economics and ROI should be evaluated against firm size, workflow volume, technology stack and security requirements.",whenToEvaluate:"Consider Hebbia when the primary constraint is extracting, comparing and tracing information across large volumes of investment documents and research material.",whenToEvaluateAlternatives:"Other architectures may be more appropriate when the primary requirement is CRM, deal sourcing, financial modelling, workflow automation or portfolio monitoring."},relatedSolutions:[{name:"Rogo",href:"/intelligence/rogo",profileAvailable:!0},{name:"BlueFlame AI",href:"/intelligence/blueflame-ai",profileAvailable:!0},{name:"Metal",href:"/intelligence/metal",profileAvailable:!0},{name:"Model ML",href:"/intelligence/model-ml",profileAvailable:!0}],commercialProfile:{profileClaimed:!1,commercialStatus:"none",demoEnabled:!1,leadGenerationEnabled:!1,sponsorshipStatus:"none"},peAiClassification:{peRelevance:"High",evidenceConfidence:"High",lastVerified:"September 2026"},optionalValueFields:{portfolioValueRelevance:"Secondary"},evidence:vW,claims:[{field:"identity.platform",label:"Platform",displayedValue:"Hebbia",claimType:"Verified fact",evidenceIds:["hebbia-product","hebbia-dpa"]},{field:"identity.country",label:"Country",displayedValue:"USA",claimType:"Verified fact",evidenceIds:["hebbia-dpa"]},{field:"identity.officialWebsite",label:"Official website",displayedValue:"hebbia.com",claimType:"Verified fact",evidenceIds:["hebbia-product"]},{field:"identity.shortDescription",label:"Short description",displayedValue:"Document-intensive investment research and diligence platform",claimType:"PrivateEquity.AI classification",evidenceIds:["hebbia-product","hebbia-deeper-research"]},{field:"peClassification.primaryWorkflow",label:"Primary workflow",displayedValue:"Document & Institutional Intelligence",claimType:"PrivateEquity.AI classification",evidenceIds:["hebbia-product","hebbia-deeper-research"]},{field:"peClassification.peStages",label:"PE stages",displayedValue:"Origination · Research · Due Diligence · Investment Committee",claimType:"PrivateEquity.AI classification",evidenceIds:["hebbia-private-equity","hebbia-preqin"]},{field:"peClassification.lifecycleFit",label:"Lifecycle fit",displayedValue:"Origination: Relevant · Research: Relevant · Due Diligence: Core · Investment Committee: Relevant · Portfolio: Secondary · Exit: Not assessed",claimType:"PrivateEquity.AI classification",evidenceIds:["hebbia-product","hebbia-private-equity","hebbia-preqin"]},{field:"peClassification.deploymentModel",label:"Deployment model",displayedValue:"Buy",claimType:"PrivateEquity.AI classification",evidenceIds:["hebbia-product","hebbia-security"]},{field:"capability.automationPotential",label:"Automation potential",dis
313playedValue:"High",claimType:"PrivateEquity.AI classification",evidenceIds:["hebbia-product","hebbia-deeper-research"]},{field:"capability.primaryUseCases",label:"Primary use cases",displayedValue:"Document analysis · Investment research · Data-room analysis · Synthesis · Source-grounded research · Institutional knowledge",claimType:"PrivateEquity.AI classification",evidenceIds:["hebbia-product","hebbia-deeper-research","hebbia-private-equity"]},{field:"capability.requiredContext",label:"Required context",displayedValue:"Firm, deal, financial, internal and external information",claimType:"PrivateEquity.AI classification",evidenceIds:["hebbia-product","hebbia-deeper-research","hebbia-preqin"]},{field:"capability.humanGate",label:"Human gate",displayedValue:"Expert judgment remains with the deal team; mandatory product-level approval controls are not assessed",claimType:"PrivateEquity.AI classification",evidenceIds:["hebbia-matrix-2"]},{field:"capability.workflowCoverage",label:"Workflow coverage",displayedValue:"Broad",claimType:"PrivateEquity.AI classification",evidenceIds:["hebbia-product","hebbia-private-equity","hebbia-preqin"]},{field:"institutionalReadiness.institutionalDeploymentEvidence",label:"Institutional deployment evidence",displayedValue:"Strong",claimType:"PrivateEquity.AI classification",evidenceIds:["openai-hebbia","claude-hebbia"]},{field:"institutionalReadiness.securitySuitability",label:"Security suitability",displayedValue:"Strong",claimType:"PrivateEquity.AI classification",evidenceIds:["hebbia-security"]},{field:"institutionalReadiness.integrationCapability",label:"Integration capability",displayedValue:"Strong",claimType:"PrivateEquity.AI classification",evidenceIds:["hebbia-preqin","hebbia-product"]},{field:"institutionalReadiness.peAdoptionEvidence",label:"PE adoption evidence",displayedValue:"Strong",claimType:"PrivateEquity.AI classification",evidenceIds:["hebbia-private-equity","hebbia-preqin","openai-hebbia"]},{field:"commercial.pricingStatus",label:"Pricing status",displayedValue:"Not publicly disclosed",claimType:"Verified fact",evidenceIds:["hebbia-pricing-review"]},{field:"peAiClassification.peRelevance",label:"PE relevance",displayedValue:"High",claimType:"PrivateEquity.AI classification",evidenceIds:["hebbia-product","hebbia-private-equity","hebbia-preqin"]},{field:"peAiClassification.evidenceConfidence",label:"Evidence confidence",displayedValue:"High",claimType:"PrivateEquity.AI classification",evidenceIds:["hebbia-product","hebbia-security","hebbia-deeper-research","openai-hebbia"]},{field:"optionalValueFields.portfolioValueRelevance",label:"Portfolio relevance",displayedValue:"Secondary",claimType:"PrivateEquity.AI classification",evidenceIds:["hebbia-preqin"]}]},bW={[_k.slug]:_k,[Ik.slug]:Ik,[Sk.slug]:Sk,[Ck.slug]:Ck,[Ek.slug]:Ek};function eO(e){return bW[e]}const Wd="#D4A843";function wW(e){try{return new URL(e).hostname.replace(/^www\./,"")}catch{return""}}const Z0=({url:e,name:t,small:n})=>{const[i,a]=j.useState(!1),s=wW(e),o=n?"w-5 h-5":"w-7 h-7";return i||!s?r.jsx("div",{className:`${o} rounded flex items-center justify-center text-xs font-bold flex-shrink-0 bg-white/5`,style:{color:Wd},children:t.charAt(0)}):r.jsx("img",{src:`https://www.google.com/s2/favicons?domain=${s}&sz=64`,alt:t,className:`${o} rounded object-contain flex-shrink-0`,loading:"lazy",decoding:"async",onError:()=>a(!0)})},AW=[{title:"AI Investment Intelligence Stack",prompt:`You are an integrated Investment Committee composed of senior partners from Goldman Sachs, Morgan Stanley, Bain & Company, BlackRock, Bridgewater Associates, JPMorgan, Citadel, Renaissance Technologies, and McKinsey Global Institute. 314 315Your task is to produce a fully structured Investment Intelligence Report with institutional standards (private equity / hedge fund level). 316 317OBJECTIVE: 318Evaluate an investment opportunity (company, asset, or sector) across strategic, financial, quantitative, and macro dimensions. 319 320INPUT: 321- Target Company / Asset / Ticker: 322- Sector: 323- Geography: 324- Investment Horizon: 325- Investment Type (Public Equity / Private Equity / Minority / Control): 326- Risk Profile (Low / Medium / High): 327 328OUTPUT: 3291. Executive Summary (max 10 lines) 3302. Market & Competitive Analysis 3313. Financial Profile 3324. Valuation Framework 3335. Risk Assessment 3346. Catalysts & Timing 3357. Quantitative Signals 3368. Macro Overlay 3379. Portfolio Fit 33810. Final Recommendation 339 340Ensure clarity, conciseness, and decision-oriented output. Avoid generic language. Prioritize structured insight and actionable conclusions.`,tip:"Institutional-grade multi-layer analysis engine replicating an investment committee from Goldman Sachs, BlackRock, Bridgewater and McKinsey. Fill the INPUT fields and run."},{title:"Due Diligence Prompt",prompt:"Act as a private equity analyst conducting commercial due diligence on [COMPANY/TARGET]. Analyze: 1) Market size and growth trajectory, 2) Competitive moat and defensibility, 3) Customer concentration and retention metrics, 4) Key risks and red flags, 5) Value creation opportunities post-acquisition. Provide a structured asse
340ssment with investment thesis considerations.",tip:"Structure your investment analysis with PE-grade frameworks."},{title:"Competitive Analysis Prompt",prompt:"Act as a market research analyst and generate a competitive analysis report for [INDUSTRY/MARKET]. Include: 1) Key competitors with their strengths and weaknesses, 2) Market positioning and differentiation factors, 3) Strategic opportunities we could exploit, 4) Threats to monitor. Provide actionable insights to enhance our [COMPETITIVE ADVANTAGE].",tip:"Map the competitive landscape of a target sector to identify differentiation risks, market positioning vulnerabilities, and moat durability â supporting commercial diligence."},{title:"Margin Expansion Prompt",prompt:"Analyze our P&L for a [REVENUE] business in [INDUSTRY]. Current EBITDA margin: [X]%. Benchmark against top quartile performers and identify: 1) Hidden inefficiencies in our cost structure, 2) Revenue mix optimizations, 3) Pricing architecture improvements. Show the path to [TARGET]% EBITDA margin with specific initiatives and expected impact.",tip:"Benchmark a target company's margin structure against top-quartile operators â identifying cost inefficiencies and pricing architecture improvements relevant to value creation planning."},{title:"Risk Assessment Matrix",prompt:"Act like a risk management specialist and develop a risk assessment matrix for [PROJECT/COMPANY]. Include: 1) Risk categories (strategic, operational, financial, compliance), 2) Probability and impact ratings, 3) Mitigation strategies for top risks, 4) Risk owners and escalation protocols, 5) Monitoring and review schedule.",tip:"Build a structured risk matrix for a target company across strategic, operational, financial, and compliance dimensions â identifying top risks and mitigation strategies to inform investment committee review."},{title:"Quarterly Business Review",prompt:"Act like a strategy director and prepare a QBR presentation for [Q/YEAR]. Include: 1) Key metrics vs. targets (revenue, growth, retention), 2) Strategic initiative progress and blockers, 3) Market and competitive developments, 4) Next quarter priorities and resource needs, 5) Board-ready executive summary.",tip:"Prepare institutional-grade quarterly performance reviews for PE sponsors, board members, and investment committee reporting â aligned with value creation plan milestones."},{title:"Financial Forecast",prompt:"Act like a financial analyst and prepare an annual financial forecast for [COMPANY]. Include: 1) Revenue projections with growth assumptions, 2) Expense estimates by category, 3) Cash flow forecasts and working capital needs, 4) Key assumptions and sensitivity analysis, 5) Scenario planning (base, optimistic, conservative). Inform budgeting and guide financial decision-making.",tip:"Project target company financials with growth assumptions, working capital analysis, and scenario stress-testing â supporting investment thesis construction and IC presentation."},{title:"Board Reporting for PE-Backed Companies",prompt:"I'm the CFO of a PE-backed company. Help me draft board commentaries for our quarterly review based on the attached P&L, Revenue details, and Cost details. Keep it professional, bullet-based, highlight key figures, variances vs. budget, and use strong financial storytelling aligned with our sponsor's value creation priorities. Write like a seasoned PE-focused CFO.",tip:"Draft institutional-grade board commentaries for PE sponsors and portfolio company boards."},{title:"ROI Analysis",prompt:"I'm reviewing investment initiatives and need an ROI analysis. Calculate ROI, assess financial effectiveness, and give recommendations to optimize future decisions. Before starting, ask me for the necessary data. Act as the best investment analyst.",tip:"Evaluate return on capital initiatives for portfolio companies or diligence assessments â supporting investment committee decision-making with structured financial logic."},{title:"Growth Strategy Prompt",prompt:"You are a strategic advisor to a [INDUSTRY] company generating [REVENUE] in annual revenue. Analyze our current business model and identify: 1) Three unconventional growth vectors we might be missing, 2) Competitive blind spots based on market dynamics, 3) Strategic partnerships that could 10x our impact. Be specific and contrarian.",tip:"Stress-test the value creation thesis by identifying non-obvious growth vectors and competitive blind spots in a target's business model â before investment committee review."},{title:"McKinsey: Key-Question Sharpener",prompt:`I run [describe your role and the business unit]. Here is the situation in the messy way it actually presents inside the company: [paste 3-10 sentences describing the problem, including disagreements, e.g. 'margins are down 4 points and sales blames pricing while ops blames freight']. 341 342Sharpen this into one decision-grade key question. Rules: 3431. The question must name a decision I actually face, phrased so the answer resolves to a yes/no or a this-versus-that. 3442. It must include the decision maker, the time frame [insert your decision deadline], and the success metric [insert the number that matters, e.g. 'restore gross margin to 34% by Q2']. 3453. Give me 5 candidate versions of the question. Under each, one line on what that phrasing commits me to investigating and one line on what it quietly excludes. 3464. Then tell me which candidate you would pick, why, and the single most dangerous assumption baked into it. 347 348Do not propose solutions. Framing only.`,tip:"Turn a messy business problem into one sharp, decision-grade question before doing any analysis."},{title:"McKinsey: MECE Auditor",prompt:`Below is a problem breakdown my team produced: [paste your issue tree, workplan, or bulleted diagnosis from a meeting doc]. 349 350Audit it for structural failures: 3511. Overlaps: name every pair of branches that could both claim the same root cause, and say which dollar or driver would get double-counted. 3522. Gaps: name what a collectively exhaustive version would cover that this one misses. Be specific. 3533. Level mixing: flag any branch sitting at a different altitude than its siblings. 3544. Loaded branches: flag any branch phrased so it presumes its own answer. 355 356Then rewrite the tree once, corrected, and mark every change with the failure it fixes. Do not add anal
356ysis or recommendations.`,tip:"Stress-test any issue tree or workplan for overlaps, gaps, and hidden assumptions before it goes to a client or board."},{title:"McKinsey: Load-Bearing Assumption Extractor",prompt:`You are reviewing a business case before it goes to the board. Here is the plan: [paste the plan, model summary, or deck text]. 357 358Do four things: 3591. List every assumption the case depends on, stated or unstated. Include quiet ones: market growth continuing, key customers renewing, the timeline holding, competitors staying still. 3602. Mark each assumption STATED (written in the document) or HIDDEN (required for the math to work but never mentioned). 3613. Rank the full list by fragility: how much the conclusion changes if this assumption is wrong. Use a 1-5 scale where 5 means the recommendation reverses. 3624. For the top five, tell me what evidence currently supports each one and what evidence would prove it wrong. Be specific about what I could check within a week. 363 364Do not soften anything. If the case rests on an assumption nobody wrote down, I need to know before the board finds it.`,tip:"Surface hidden assumptions in any business case before it reaches the board â ranked by how much they could flip the outcome."},{title:"McKinsey: Premortem Runner",prompt:`Run a premortem on this plan. Assume it is [18 months] from now and the plan has failed badly. Do not question whether it failed. It failed. 365 366The plan: [paste the plan] 367Context: [company size, industry, what success was supposed to look like] 368 369Write the failure story in three parts: 3701. The post-mortem memo. Written by the executive who owned the plan, explaining to the CEO what went wrong. Specific causes, specific dates, specific decisions that looked fine at the time. 3712. The five most likely root causes, ranked by probability. For each: the early warning sign we would have seen by month 3, and what we would have needed to do about it. 3723. The one cause nobody in the room would have predicted, and why we were blind to it. 373 374Then step out of the exercise and tell me: which of these failure paths could be closed off with a change to the plan today, and which are risks we would simply be accepting.`,tip:"Force a structured failure story before committing to a plan â surfaces the risks most likely to kill it and the ones nobody saw coming."},{title:"McKinsey: Competitor Teardown",prompt:`You are a competitive strategy analyst. Build a teardown of [COMPETITOR NAME], a rival to my company [YOUR COMPANY] in [CATEGORY / MARKET]. 375 376Context on us: [2-3 sentences: what you sell, who buys it, rough revenue scale, how you win deals today]. 377 378Produce the teardown in five sections: 3791. Business model. How they make money: revenue streams, pricing model, who pays, gross margin logic. Flag what is documented vs. inferred. 3802. Cost position. Where their cost structure likely sits relative to ours: labor model, geographic footprint, tech base, scale advantages. Label every claim SOURCED or INFERRED. 3813. Positioning. The message they lead with, the segment they anchor on, and what their last 12 months of announcements signal. 3824. Recent moves. Acquisitions, launches, executive hires, and pricing changes over the last 18 months, with what each move signals. 3835. Likely next move. The single most likely strategic move in the next 12 months, plus the second most likely. State your confidence and what evidence would change your read. 384 385End with the three questions I should get answered through customers or field contacts, because public information will not settle them.`,tip:"Build a structured competitor teardown across business model, cost position, positioning, and likely next move â with sourced vs. inferred clearly labelled."},{title:"McKinsey: EBITDA Bridge Builder",prompt:`You are building an as-is to target EBITDA bridge for [COMPANY]. Current annual EBITDA is [CURRENT EBITDA] on revenue of [REVENUE]. 386 387Here are the improvement opportunities I believe exist, with my rough sizing where I have one: [LIST EACH, e.g. 'cut invoice-processing cost, my guess is $2M', 'reduce customer churn from 12% to 9%', 'renegotiate the top-10 supplier contracts']. 388 389Build the bridge: 3901. Convert each opportunity into an annualized EBITDA impact with the calculation shown line by line. Where my sizing is a guess, state the assumption and mark it ASSUMED. 3912. Assign each initiative a cost to achieve, one-time and recurring, and a ramp: what percent of run-rate benefit lands in year 1, 2, and 3. Be conservative on ramps and say why. 3923. Check for double counting across initiatives and net out any overlap explicitly. 3934. Produce the bridge as a table: starting EBITDA, each initiative's net contribution by year, ending E
393BITDA. 3945. Close with the three assumptions the whole bridge is most sensitive to, and what evidence I should gather before this goes in front of my CFO.`,tip:"Convert a list of improvement opportunities into a line-by-line EBITDA bridge with year-by-year ramps, double-count checks, and sensitivity flags."},{title:"McKinsey: Nine-Box Portfolio Builder",prompt:`You are a portfolio strategist. Build a GE-McKinsey nine-box for my portfolio, with all score math shown. 395 396Context: [company, total revenue, what the units are: business units, product lines, or regions] 397 398Units to score â one block each: 399[UNIT NAME: revenue, revenue growth last 2 years, gross/operating margin, market size if known, market growth if known, top 2-3 competitors and rough share, one line on anything distinctive] 400 401Work in four steps, stopping after Step 1 for my sign-off: 402Step 1: Propose scoring criteria. Industry attractiveness axis: 4-6 factors with weights summing to 100. Competitive strength axis: 4-6 factors with weights summing to 100. One line of reasoning per weight. Then stop. 403Step 2: After my confirmation, score every unit 1-9 on every factor. Show the full table so I can audit the math. Thin-data scores get marked [ESTIMATE]. 404Step 3: Place each unit on the three-by-three grid. Render as a markdown table with units in their cells and revenue noted. 405Step 4: For each unit, write a 3-4 sentence call: the cell, the posture (invest/hold/harvest), and what would need to change to move it.`,tip:"Score every business unit or product line on a GE-McKinsey nine-box with auditable math â and get a clear invest/hold/harvest call for each."},{title:"McKinsey: Answer-First One-Pager",prompt:`You are drafting a one-page decision memo for a senior executive audience. Follow the Minto answer-first structure: state the recommendation in the first sentence, then support it. 406 407DECISION TO BE MADE: [the decision in one sentence] 408DECIDER: [who signs off] 409ANALYSIS AND FACTS: [paste the analysis, data points, and findings you have. Raw notes are fine.] 410OPTIONS ON THE TABLE: [list the live options, including 'do nothing' if it is live] 411CONSTRAINTS: [budget, timeline, regulatory, or political constraints] 412 413Write the memo: 4141. Governing thought first. One sentence that states the recommendation and the single most important reason. 4152. Three to four supporting reasons, MECE: no overlaps, no gaps. Each reason gets a bolded action-title sentence (the claim) followed by 2-3 sentences of evidence. If a reason has no evidence, mark it [UNSUPPORTED]. 4163. The so-what: one short paragraph on what happens if we wait or choose wrong. 4174. The ask: one sentence stating exactly what you need the decider to approve, by when.`,tip:"Turn raw analysis into an answer-first executive memo â recommendation up front, MECE support below, with unsupported claims flagged."},{title:"McKinsey: Competitive War-Game",prompt:`We are running a competitive war-game. You play all competitor seats. I play the home team. 418 419My company: [description, market position, key economics] 420My planned move: [the strategic move: price change, new product, market entry, acquisition, channel shift] 421Competitors: [name and one-line description of your top 3 competitors] 422Market context: [growth, buyer behavior, switching costs, anything unusual] 423 424Run three rounds: 425Round 1: I make my move. As each competitor, respond with the counter-move they would actually make given their real incentives and constraints. Choose the likely move, not the admirable one. State the reasoning in each competitor's own voice. 426Round 2: Tell me the strongest response available to me against each counter. Then, as each competitor, counter that response. 427Round 3: Step out of character as the market team. Award rough share and margin outcomes for each branch and rank branches from best to worst for me. 428 429End with: the branch where my move fails fastest, and the earliest external signal that would tell me I am living in that branch.`,tip:"Run a three-round war-game where the AI plays every competitor seat â and end with the failure branch and its earliest warning signal."},{title:"McKinsey: Vanity-Metric Audit",prompt:`You are auditing my current KPI scorecard against one test: does moving this number create value, or does it just look like management? 430 431Inputs: 432- Current scorecard: [paste every metric you review monthly or quarterly, with the owner if known] 433- How we make money: [business model in 3-5 sentences]
434- Financials: [P&L summary and key balance-sheet lines] 435 436Classify every metric into one of four buckets: 4371. VALUE DRIVER: traces to margin, growth, or capital efficiency through a chain you can state in one sentence. 4382. HEALTH CHECK: worth watching, but not a leadership performance metric. Say where it should live instead. 4393. VANITY: can improve while value stays flat or falls. Describe the specific way it can be gamed or mislead. 4404. MISSING: value drivers in my business that no current metric covers. 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this._refinement(t)}constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.readonly=this.readonly.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this),this["~standard"]={version:1,vendor:"zod",validate:n=>this["~validate"](n)}}optional(){return ci.create(this,this._def)}nullable(){return Ka.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return Br.create(this)}promise(){return Pl.create(this,this._def)}or(t){return Xd.create([this,t],this._def)}and(t){return Zd.create(this,t,this._def)}transform(t){return new zr({...Ae(this._def),schema:this,typeName:ge.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new ru({...Ae(this._def),innerType:this,defaultValue:n,typeName:ge.ZodDefault})}brand(){return new l1({typeName:ge.ZodBranded,type:this,...Ae(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new iu({...Ae(this._def),innerType:this,catchValue:n,typeName:ge.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return op.create(this,t)}readonly(){return au.create(this)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const r7=/^c[^\s-]{8,}
vendor: 4,392 bytes, line 486
486$/i,i7=/^[0-9a-z]+$/,a7=/^[0-9A-HJKMNP-TV-Z]{26}$/i,s7=/^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/i,o7=/^[a-z0-9_-]{21}$/i,l7=/^[A-Za-z0-9-_]+\.[A-Za-z0-9-_]+\.[A-Za-z0-9-_]*$/,c7=/^[-+]?P(?!$)(?:(?:[-+]?\d+Y)|(?:[-+]?\d+[.,]\d+Y$))?(?:(?:[-+]?\d+M)|(?:[-+]?\d+[.,]\d+M$))?(?:(?:[-+]?\d+W)|(?:[-+]?\d+[.,]\d+W$))?(?:(?:[-+]?\d+D)|(?:[-+]?\d+[.,]\d+D$))?(?:T(?=[\d+-])(?:(?:[-+]?\d+H)|(?:[-+]?\d+[.,]\d+H$))?(?:(?:[-+]?\d+M)|(?:[-+]?\d+[.,]\d+M$))?(?:[-+]?\d+(?:[.,]\d+)?S)?)??$/,d7=/^(?!\.)(?!.*\.\.)([A-Z0-9_'+\-\.]*)[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\-]*\.)+[A-Z]{2,}$/i,u7="^(\\p{Extended_Pictographic}|\\p{Emoji_Component})+$";let Jx;const p7=/^(?:(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\.){3}(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])$/,m7=/^(?:(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\.){3}(?:25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9][0-9]|[0-9])\/(3[0-2]|[12]?[0-9])$/,h7=/^(([0-9a-fA-F]{1,4}:){7,7}[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,7}:|([0-9a-fA-F]{1,4}:){1,6}:[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,5}(:[0-9a-fA-F]{1,4}){1,2}|([0-9a-fA-F]{1,4}:){1,4}(:[0-9a-fA-F]{1,4}){1,3}|([0-9a-fA-F]{1,4}:){1,3}(:[0-9a-fA-F]{1,4}){1,4}|([0-9a-fA-F]{1,4}:){1,2}(:[0-9a-fA-F]{1,4}){1,5}|[0-9a-fA-F]{1,4}:((:[0-9a-fA-F]{1,4}){1,6})|:((:[0-9a-fA-F]{1,4}){1,7}|:)|fe80:(:[0-9a-fA-F]{0,4}){0,4}%[0-9a-zA-Z]{1,}|::(ffff(:0{1,4}){0,1}:){0,1}((25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9])\.){3,3}(25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9])|([0-9a-fA-F]{1,4}:){1,4}:((25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9])\.){3,3}(25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9]))$/,f7=/^(([0-9a-fA-F]{1,4}:){7,7}[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,7}:|([0-9a-fA-F]{1,4}:){1,6}:[0-9a-fA-F]{1,4}|([0-9a-fA-F]{1,4}:){1,5}(:[0-9a-fA-F]{1,4}){1,2}|([0-9a-fA-F]{1,4}:){1,4}(:[0-9a-fA-F]{1,4}){1,3}|([0-9a-fA-F]{1,4}:){1,3}(:[0-9a-fA-F]{1,4}){1,4}|([0-9a-fA-F]{1,4}:){1,2}(:[0-9a-fA-F]{1,4}){1,5}|[0-9a-fA-F]{1,4}:((:[0-9a-fA-F]{1,4}){1,6})|:((:[0-9a-fA-F]{1,4}){1,7}|:)|fe80:(:[0-9a-fA-F]{0,4}){0,4}%[0-9a-zA-Z]{1,}|::(ffff(:0{1,4}){0,1}:){0,1}((25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9])\.){3,3}(25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9])|([0-9a-fA-F]{1,4}:){1,4}:((25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9])\.){3,3}(25[0-5]|(2[0-4]|1{0,1}[0-9]){0,1}[0-9]))\/(12[0-8]|1[01][0-9]|[1-9]?[0-9])$/,g7=/^([0-9a-zA-Z+/]{4})*(([0-9a-zA-Z+/]{2}==)|([0-9a-zA-Z+/]{3}=))?$/,x7=/^([0-9a-zA-Z-_]{4})*(([0-9a-zA-Z-_]{2}(==)?)|([0-9a-zA-Z-_]{3}(=)?))?$/,A5="((\\d\\d[2468][048]|\\d\\d[13579][26]|\\d\\d0[48]|[02468][048]00|[13579][26]00)-02-29|\\d{4}-((0[13578]|1[02])-(0[1-9]|[12]\\d|3[01])|(0[469]|11)-(0[1-9]|[12]\\d|30)|(02)-(0[1-9]|1\\d|2[0-8])))",y7=new RegExp(`^${A5}$`);function j5(e){let t="[0-5]\\d";e.precision?t=`${t}\\.\\d{${e.precision}}`:e.precision==null&&(t=`${t}(\\.\\d+)?`);const n=e.precision?"+":"?";return`([01]\\d|2[0-3]):[0-5]\\d(:${t})${n}`}function v7(e){return new RegExp(`^${j5(e)}$`)}function k5(e){let t=`${A5}T${j5(e)}`;const n=[];return n.push(e.local?"Z?":"Z"),e.offset&&n.push("([+-]\\d{2}:?\\d{2})"),t=`${t}(${n.join("|")})`,new RegExp(`^${t}$`)}function b7(e,t){return!!((t==="v4"||!t)&&p7.test(e)||(t==="v6"||!t)&&h7.test(e))}function w7(e,t){if(!l7.test(e))return!1;try{const[n]=e.split(".");if(!n)return!1;const i=n.replace(/-/g,"+").replace(/_/g,"/").padEnd(n.length+(4-n.length%4)%4,"="),a=JSON.parse(atob(i));return!(typeof a!="object"||a===null||"typ"in a&&(a==null?void 0:a.typ)!=="JWT"||!a.alg||t&&a.alg!==t)}catch{return!1}}function A7(e,t){return!!((t==="v4"||!t)&&m7.test(e)||(t==="v6"||!t)&&f7.test(e))}class Mr extends Ee{_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==oe.string){const s=this._getOrReturnCtx(t);return ie(s,{code:Z.invalid_type,expected:oe.string,received:s.parsedType}),he}const i=new xn;let a;for(const s of this._def.checks)if(s.kind==="min")t.data.length<s.value&&(a=this._getOrReturnCtx(t,a),ie(a,{code:Z.too_small,minimum:s.value,type:"string",inclusive:!0,exact:!1,message:s.message}),i.dirty());else if(s.kind==="max")t.data.length>s.value&&(a=this._getOrReturnCtx(t,a),ie(a,{code:Z.too_big,maximum:s.value,type:"string",inclusive:!0,exact:!1,message:s.message}),i.dirty());else if(s.kind==="length"){const o=t.data.length>s.value,l=t.data.length<s.value;(o||l)&&(a=this._getOrReturnCtx(t,a),o?ie(a,{code:Z.too_big,maximum:s.value,type:"string",inclusive:!0,exact:!0,message:s.message}
vendor: 6,227 bytes, line 486
486):l&&ie(a,{code:Z.too_small,minimum:s.value,type:"string",inclusive:!0,exact:!0,message:s.message}),i.dirty())}else if(s.kind==="email")d7.test(t.data)||(a=this._getOrReturnCtx(t,a),ie(a,{validation:"email",code:Z.invalid_string,message:s.message}),i.dirty());else if(s.kind==="emoji")Jx||(Jx=new RegExp(u7,"u")),Jx.test(t.data)||(a=this._getOrReturnCtx(t,a),ie(a,{validation:"emoji",code:Z.invalid_string,message:s.message}),i.dirty());else if(s.kind==="uuid")s7.test(t.data)||(a=this._getOrReturnCtx(t,a),ie(a,{validation:"uuid",code:Z.invalid_string,message:s.message}),i.dirty());else if(s.kind==="nanoid")o7.test(t.data)||(a=this._getOrReturnCtx(t,a),ie(a,{validation:"nanoid",code:Z.invalid_string,message:s.message}),i.dirty());else if(s.kind==="cuid")r7.test(t.data)||(a=this._getOrReturnCtx(t,a),ie(a,{validation:"cuid",code:Z.invalid_string,message:s.message}),i.dirty());else if(s.kind==="cuid2")i7.test(t.data)||(a=this._getOrReturnCtx(t,a),ie(a,{validation:"cuid2",code:Z.invalid_string,message:s.message}),i.dirty());else if(s.kind==="ulid")a7.test(t.data)||(a=this._getOrReturnCtx(t,a),ie(a,{validation:"ulid",code:Z.invalid_string,message:s.message}),i.dirty());else if(s.kind==="url")try{new URL(t.data)}catch{a=this._getOrReturnCtx(t,a),ie(a,{validation:"url",code:Z.invalid_string,message:s.message}),i.dirty()}else s.kind==="regex"?(s.regex.lastIndex=0,s.regex.test(t.data)||(a=this._getOrReturnCtx(t,a),ie(a,{validation:"regex",code:Z.invalid_string,message:s.message}),i.dirty())):s.kind==="trim"?t.data=t.data.trim():s.kind==="includes"?t.data.includes(s.value,s.position)||(a=this._getOrReturnCtx(t,a),ie(a,{code:Z.invalid_string,validation:{includes:s.value,position:s.position},message:s.message}),i.dirty()):s.kind==="toLowerCase"?t.data=t.data.toLowerCase():s.kind==="toUpperCase"?t.data=t.data.toUpperCase():s.kind==="startsWith"?t.data.startsWith(s.value)||(a=this._getOrReturnCtx(t,a),ie(a,{code:Z.invalid_string,validation:{startsWith:s.value},message:s.message}),i.dirty()):s.kind==="endsWith"?t.data.endsWith(s.value)||(a=this._getOrReturnCtx(t,a),ie(a,{code:Z.invalid_string,validation:{endsWith:s.value},message:s.message}),i.dirty()):s.kind==="datetime"?k5(s).test(t.data)||(a=this._getOrReturnCtx(t,a),ie(a,{code:Z.invalid_string,validation:"datetime",message:s.message}),i.dirty()):s.kind==="date"?y7.test(t.data)||(a=this._getOrReturnCtx(t,a),ie(a,{code:Z.invalid_string,validation:"date",message:s.message}),i.dirty()):s.kind==="time"?v7(s).test(t.data)||(a=this._getOrReturnCtx(t,a),ie(a,{code:Z.invalid_string,validation:"time",message:s.message}),i.dirty()):s.kind==="duration"?c7.test(t.data)||(a=this._getOrReturnCtx(t,a),ie(a,{validation:"duration",code:Z.invalid_string,message:s.message}),i.dirty()):s.kind==="ip"?b7(t.data,s.version)||(a=this._getOrReturnCtx(t,a),ie(a,{validation:"ip",code:Z.invalid_string,message:s.message}),i.dirty()):s.kind==="jwt"?w7(t.data,s.alg)||(a=this._getOrReturnCtx(t,a),ie(a,{validation:"jwt",code:Z.invalid_string,message:s.message}),i.dirty()):s.kind==="cidr"?A7(t.data,s.version)||(a=this._getOrReturnCtx(t,a),ie(a,{validation:"cidr",code:Z.invalid_string,message:s.message}),i.dirty()):s.kind==="base64"?g7.test(t.data)||(a=this._getOrReturnCtx(t,a),ie(a,{validation:"base64",code:Z.invalid_string,message:s.message}),i.dirty()):s.kind==="base64url"?x7.test(t.data)||(a=this._getOrReturnCtx(t,a),ie(a,{validation:"base64url",code:Z.invalid_string,message:s.message}),i.dirty()):Le.assertNever(s);return{status:i.value,value:t.data}}_regex(t,n,i){return this.refinement(a=>t.test(a),{validation:n,code:Z.invalid_string,...ue.errToObj(i)})}_addCheck(t){return new Mr({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...ue.errToObj(t)})}url(t){return this._addCheck({kind:"url",...ue.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...ue.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...ue.errToObj(t)})}nanoid(t){return this._addCheck({kind:"nanoid",...ue.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...ue.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...ue.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...ue.errToObj(t)})}base64(t){return this._addCheck({kind:"base64",...ue.errToObj(t)})}base64url(t){return this._addCheck({kind:"base64url",...ue.errToObj(t)})}jwt(t){return this._addCheck({kind:"jwt",...ue.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...ue.errToObj(t)})}cidr(t){return this._addCheck({kind:"cidr",...ue.errToObj(t)})}datetime(t){return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,local:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(t==null?void 0:t.offset)??!1,local:(t==null?void 0:t.local)??!1,...ue.errToObj(t==null?void 0:t.message)})}date(t){return this._addCheck({kind:"date",message:t})}time(t){return typeof t=="string"?this._addCheck({kind:"time",precision:null,message:t}):this._addCheck({kind:"time",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,...ue.errToObj(t==null?void 0:t.message)})}duration(t){return this._addCheck({kind:"duration",...ue.errToObj(t)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...ue.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...ue.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...ue.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...ue.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...ue.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...ue.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...ue.errToObj(n)})}nonempty(t){return this.min(1,ue.errToObj(t))}trim(){return new Mr({...this._def,checks:[...this._def.checks,{kind:"trim"}]})}toLowerCase(){return new Mr({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]})}toUpperCase(){return new Mr({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}
vendor: 4,517 bytes, line 486
486get isDate(){return!!this._def.checks.find(t=>t.kind==="date")}get isTime(){return!!this._def.checks.find(t=>t.kind==="time")}get isDuration(){return!!this._def.checks.find(t=>t.kind==="duration")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isNANOID(){return!!this._def.checks.find(t=>t.kind==="nanoid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get isCIDR(){return!!this._def.checks.find(t=>t.kind==="cidr")}get isBase64(){return!!this._def.checks.find(t=>t.kind==="base64")}get isBase64url(){return!!this._def.checks.find(t=>t.kind==="base64url")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Mr.create=e=>new Mr({checks:[],typeName:ge.ZodString,coerce:(e==null?void 0:e.coerce)??!1,...Ae(e)});function j7(e,t){const n=(e.toString().split(".")[1]||"").length,i=(t.toString().split(".")[1]||"").length,a=n>i?n:i,s=Number.parseInt(e.toFixed(a).replace(".","")),o=Number.parseInt(t.toFixed(a).replace(".",""));return s%o/10**a}class za extends Ee{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==oe.number){const s=this._getOrReturnCtx(t);return ie(s,{code:Z.invalid_type,expected:oe.number,received:s.parsedType}),he}let i;const a=new xn;for(const s of this._def.checks)s.kind==="int"?Le.isInteger(t.data)||(i=this._getOrReturnCtx(t,i),ie(i,{code:Z.invalid_type,expected:"integer",received:"float",message:s.message}),a.dirty()):s.kind==="min"?(s.inclusive?t.data<s.value:t.data<=s.value)&&(i=this._getOrReturnCtx(t,i),ie(i,{code:Z.too_small,minimum:s.value,type:"number",inclusive:s.inclusive,exact:!1,message:s.message}),a.dirty()):s.kind==="max"?(s.inclusive?t.data>s.value:t.data>=s.value)&&(i=this._getOrReturnCtx(t,i),ie(i,{code:Z.too_big,maximum:s.value,type:"number",inclusive:s.inclusive,exact:!1,message:s.message}),a.dirty()):s.kind==="multipleOf"?j7(t.data,s.value)!==0&&(i=this._getOrReturnCtx(t,i),ie(i,{code:Z.not_multiple_of,multipleOf:s.value,message:s.message}),a.dirty()):s.kind==="finite"?Number.isFinite(t.data)||(i=this._getOrReturnCtx(t,i),ie(i,{code:Z.not_finite,message:s.message}),a.dirty()):Le.assertNever(s);return{status:a.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,ue.toString(n))}gt(t,n){return this.setLimit("min",t,!1,ue.toString(n))}lte(t,n){return this.setLimit("max",t,!0,ue.toString(n))}lt(t,n){return this.setLimit("max",t,!1,ue.toString(n))}setLimit(t,n,i,a){return new za({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:i,message:ue.toString(a)}]})}_addCheck(t){return new za({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:ue.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:ue.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:ue.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:ue.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:ue.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:ue.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:ue.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:ue.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:ue.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&Le.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const i of this._def.checks){if(i.kind==="finite"||i.kind==="int"||i.kind==="multipleOf")return!0;
vendor: 7,638 bytes, line 486
486i.kind==="min"?(n===null||i.value>n)&&(n=i.value):i.kind==="max"&&(t===null||i.value<t)&&(t=i.value)}return Number.isFinite(n)&&Number.isFinite(t)}}za.create=e=>new za({checks:[],typeName:ge.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...Ae(e)});class Wa extends Ee{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce)try{t.data=BigInt(t.data)}catch{return this._getInvalidInput(t)}if(this._getType(t)!==oe.bigint)return this._getInvalidInput(t);let i;const a=new xn;for(const s of this._def.checks)s.kind==="min"?(s.inclusive?t.data<s.value:t.data<=s.value)&&(i=this._getOrReturnCtx(t,i),ie(i,{code:Z.too_small,type:"bigint",minimum:s.value,inclusive:s.inclusive,message:s.message}),a.dirty()):s.kind==="max"?(s.inclusive?t.data>s.value:t.data>=s.value)&&(i=this._getOrReturnCtx(t,i),ie(i,{code:Z.too_big,type:"bigint",maximum:s.value,inclusive:s.inclusive,message:s.message}),a.dirty()):s.kind==="multipleOf"?t.data%s.value!==BigInt(0)&&(i=this._getOrReturnCtx(t,i),ie(i,{code:Z.not_multiple_of,multipleOf:s.value,message:s.message}),a.dirty()):Le.assertNever(s);return{status:a.value,value:t.data}}_getInvalidInput(t){const n=this._getOrReturnCtx(t);return ie(n,{code:Z.invalid_type,expected:oe.bigint,received:n.parsedType}),he}gte(t,n){return this.setLimit("min",t,!0,ue.toString(n))}gt(t,n){return this.setLimit("min",t,!1,ue.toString(n))}lte(t,n){return this.setLimit("max",t,!0,ue.toString(n))}lt(t,n){return this.setLimit("max",t,!1,ue.toString(n))}setLimit(t,n,i,a){return new Wa({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:i,message:ue.toString(a)}]})}_addCheck(t){return new Wa({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:ue.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:ue.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:ue.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:ue.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:ue.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Wa.create=e=>new Wa({checks:[],typeName:ge.ZodBigInt,coerce:(e==null?void 0:e.coerce)??!1,...Ae(e)});class Kd extends Ee{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==oe.boolean){const i=this._getOrReturnCtx(t);return ie(i,{code:Z.invalid_type,expected:oe.boolean,received:i.parsedType}),he}return In(t.data)}}Kd.create=e=>new Kd({typeName:ge.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...Ae(e)});class Xs extends Ee{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==oe.date){const s=this._getOrReturnCtx(t);return ie(s,{code:Z.invalid_type,expected:oe.date,received:s.parsedType}),he}if(Number.isNaN(t.data.getTime())){const s=this._getOrReturnCtx(t);return ie(s,{code:Z.invalid_date}),he}const i=new xn;let a;for(const s of this._def.checks)s.kind==="min"?t.data.getTime()<s.value&&(a=this._getOrReturnCtx(t,a),ie(a,{code:Z.too_small,message:s.message,inclusive:!0,exact:!1,minimum:s.value,type:"date"}),i.dirty()):s.kind==="max"?t.data.getTime()>s.value&&(a=this._getOrReturnCtx(t,a),ie(a,{code:Z.too_big,message:s.message,inclusive:!0,exact:!1,maximum:s.value,type:"date"}),i.dirty()):Le.assertNever(s);return{status:i.value,value:new Date(t.data.getTime())}}_addCheck(t){return new Xs({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:ue.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:ue.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}Xs.create=e=>new Xs({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:ge.ZodDate,...Ae(e)});class Sh extends Ee{_parse(t){if(this._getType(t)!==oe.symbol){const i=this._getOrReturnCtx(t);return ie(i,{code:Z.invalid_type,expected:oe.symbol,received:i.parsedType}),he}return In(t.data)}}Sh.create=e=>new Sh({typeName:ge.ZodSymbol,...Ae(e)});class Yd extends Ee{_parse(t){if(this._getType(t)!==oe.undefined){const i=this._getOrReturnCtx(t);return ie(i,{code:Z.invalid_type,expected:oe.undefined,received:i.parsedType}),he}return In(t.data)}}Yd.create=e=>new Yd({typeName:ge.ZodUndefined,...Ae(e)});class Qd extends Ee{_parse(t){if(this._getType(t)!==oe.null){const i=this._getOrReturnCtx(t);return ie(i,{code:Z.invalid_type,expected:oe.null,received:i.parsedType}),he}return In(t.data)}}Qd.create=e=>new Qd({typeName:ge.ZodNull,...Ae(e)});class _l extends Ee{constructor(){super(...arguments),this._any=!0}_parse(t){return In(t.data)}}_l.create=e=>new _l({typeName:ge.ZodAny,...Ae(e)});class Ms extends Ee{constructor(){super(...arguments),this._unknown=!0}_parse(t){return In(t.data)}}Ms.create=e=>new Ms({typeName:ge.ZodUnknown,...Ae(e)});class Vi extends Ee{_parse(t){const n=this._getOrReturnCtx(t);return ie(n,{code:Z.invalid_type,expected:oe.never,received:n.parsedType}),he}}Vi.create=e=>new Vi({typeName:ge.ZodNever,...Ae(e)});class Ch extends Ee{_parse(t){if(this._getType(t)!==oe.undefined){const i=this._getOrReturnCtx(t);return ie(i,{code:Z.invalid_type,expected:oe.void,received:i.parsedType}),he}return In(t.data)}}Ch.create=e=>new Ch({typeName:ge.ZodVoid,...Ae(e)});class Br extends Ee{_parse(t){const{ctx:n,status:i}=this._processInputParams(t),a=this._def;if(n.parsedType!==oe.array)return ie(n,{code:Z.invalid_type,expected:oe.array,received:n.parsedType}),he;if(a.exactLength!==null){const o=n.data.length>a.exactLength.value,l=n.data.length<a.exactLength.value;(o||l)&&(ie(n,{code:o?Z.too_big:Z.too_small,minimum:l?a.exactLength.value:void 0,maximum:o?a.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:a.exactLength.message}),i.dirty())}if(a.minLength!==null&&n.data.length<a.minLength.value&&(ie(n,{code:Z.too_small,minimum:a.minLength.value,type:"array",inclusive:!0,exact:!1,message:a.minLength.message}),i.dirty()),a.maxLength!==null&&n.data.length>a.maxLength.value&&(ie(n,{code:Z.too_big,maximum:a.maxLength.value,type:"array",inclusive:!0,exact:!1,message:a.maxLength.message}),i.dirty()),n.common.async)return Promise.all([...n.data].map((o,l)=>a.type._parseAsync(new pi(n,o,n.path,l)))).then(o=>xn.mergeArray(i,o));const s=[...n.data].map((o,l)=>a.type._parseSync(new pi(n,o,n.path,l)));return xn.mergeArray(i,s)}get element(){return this._def.type}min(t,n){return new Br({...this._def,minLength:{value:t,message:ue.toString(n)}})}max(t,n){return new Br({...this._def,maxLength:{value:t,message:ue.toString(n)}})}length(t,n){return new Br({...this._def,exactLength:{value:t,message:ue.toString(n)}})}nonempty(t){return this.min(1,t)}}Br.create=(e,t)=>new Br({type:e,minLength:null,maxLength:null,exactLength:null,typeName:ge.ZodArray,...Ae(t)});function jo(e){if(e instanceof bt){const t={};for(const n in e.shape){const i=e.shape[n];t[n]=ci.create(jo(i))}return new bt({...e._def,shape:()=>t})}else return e instanceof Br?new Br({...e._def,type:jo(e.element)}):e instanceof ci?ci.create(jo(e.unwrap())):e instanceof Ka?Ka.create(jo(e.unwrap())):e instanceof mi?mi.create(e.items.map(t=>jo(t))):e}
vendor: 4,440 bytes, line 486
486class bt extends Ee{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=Le.objectKeys(t);return this._cached={shape:t,keys:n},this._cached}_parse(t){if(this._getType(t)!==oe.object){const d=this._getOrReturnCtx(t);return ie(d,{code:Z.invalid_type,expected:oe.object,received:d.parsedType}),he}const{status:i,ctx:a}=this._processInputParams(t),{shape:s,keys:o}=this._getCached(),l=[];if(!(this._def.catchall instanceof Vi&&this._def.unknownKeys==="strip"))for(const d in a.data)o.includes(d)||l.push(d);const c=[];for(const d of o){const u=s[d],p=a.data[d];c.push({key:{status:"valid",value:d},value:u._parse(new pi(a,p,a.path,d)),alwaysSet:d in a.data})}if(this._def.catchall instanceof Vi){const d=this._def.unknownKeys;if(d==="passthrough")for(const u of l)c.push({key:{status:"valid",value:u},value:{status:"valid",value:a.data[u]}});else if(d==="strict")l.length>0&&(ie(a,{code:Z.unrecognized_keys,keys:l}),i.dirty());else if(d!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const d=this._def.catchall;for(const u of l){const p=a.data[u];c.push({key:{status:"valid",value:u},value:d._parse(new pi(a,p,a.path,u)),alwaysSet:u in a.data})}}return a.common.async?Promise.resolve().then(async()=>{const d=[];for(const u of c){const p=await u.key,m=await u.value;d.push({key:p,value:m,alwaysSet:u.alwaysSet})}return d}).then(d=>xn.mergeObjectSync(i,d)):xn.mergeObjectSync(i,c)}get shape(){return this._def.shape()}strict(t){return ue.errToObj,new bt({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,i)=>{var s,o;const a=((o=(s=this._def).errorMap)==null?void 0:o.call(s,n,i).message)??i.defaultError;return n.code==="unrecognized_keys"?{message:ue.errToObj(t).message??a}:{message:a}}}:{}})}strip(){return new bt({...this._def,unknownKeys:"strip"})}passthrough(){return new bt({...this._def,unknownKeys:"passthrough"})}extend(t){return new bt({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new bt({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:ge.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new bt({...this._def,catchall:t})}pick(t){const n={};for(const i of Le.objectKeys(t))t[i]&&this.shape[i]&&(n[i]=this.shape[i]);return new bt({...this._def,shape:()=>n})}omit(t){const n={};for(const i of Le.objectKeys(this.shape))t[i]||(n[i]=this.shape[i]);return new bt({...this._def,shape:()=>n})}deepPartial(){return jo(this)}partial(t){const n={};for(const i of Le.objectKeys(this.shape)){const a=this.shape[i];t&&!t[i]?n[i]=a:n[i]=a.optional()}return new bt({...this._def,shape:()=>n})}required(t){const n={};for(const i of Le.objectKeys(this.shape))if(t&&!t[i])n[i]=this.shape[i];else{let s=this.shape[i];for(;s instanceof ci;)s=s._def.innerType;n[i]=s}return new bt({...this._def,shape:()=>n})}keyof(){return N5(Le.objectKeys(this.shape))}}bt.create=(e,t)=>new bt({shape:()=>e,unknownKeys:"strip",catchall:Vi.create(),typeName:ge.ZodObject,...Ae(t)});bt.strictCreate=(e,t)=>new bt({shape:()=>e,unknownKeys:"strict",catchall:Vi.create(),typeName:ge.ZodObject,...Ae(t)});bt.lazycreate=(e,t)=>new bt({shape:e,unknownKeys:"strip",catchall:Vi.create(),typeName:ge.ZodObject,...Ae(t)});class Xd extends Ee{_parse(t){const{ctx:n}=this._processInputParams(t),i=this._def.options;function a(s){for(const l of s)if(l.result.status==="valid")return l.result;for(const l of s)if(l.result.status==="dirty")return n.common.issues.push(...l.ctx.common.issues),l.result;const o=s.map(l=>new Vn(l.ctx.common.issues));return ie(n,{code:Z.invalid_union,unionErrors:o}),he}if(n.common.async)return Promise.all(i.map(async s=>{const o={...n,common:{...n.common,issues:[]},parent:null};return{result:await s._parseAsync({data:n.data,path:n.path,parent:o}),ctx:o}})).then(a);{let s;const o=[];for(const c of i){const d={...n,common:{...n.common,issues:[]},parent:null},u=c._parseSync({data:n.data,path:n.path,parent:d});if(u.status==="valid")return u;u.status==="dirty"&&!s&&(s={result:u,ctx:d}),d.common.issues.length&&o.push(d.common.issues)}if(s)return n.common.issues.push(...s.ctx.common.issues),s.result;const l=o.map(c=>new Vn(c));return ie(n,{code:Z.invalid_union,unionErrors:l}),he}}get options(){return this._def.options}}Xd.create=(e,t)=>
vendor: 8,309 bytes, line 486
486new Xd({options:e,typeName:ge.ZodUnion,...Ae(t)});const Ni=e=>e instanceof eu?Ni(e.schema):e instanceof zr?Ni(e.innerType()):e instanceof tu?[e.value]:e instanceof Va?e.options:e instanceof nu?Le.objectValues(e.enum):e instanceof ru?Ni(e._def.innerType):e instanceof Yd?[void 0]:e instanceof Qd?[null]:e instanceof ci?[void 0,...Ni(e.unwrap())]:e instanceof Ka?[null,...Ni(e.unwrap())]:e instanceof l1||e instanceof au?Ni(e.unwrap()):e instanceof iu?Ni(e._def.innerType):[];class lg extends Ee{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==oe.object)return ie(n,{code:Z.invalid_type,expected:oe.object,received:n.parsedType}),he;const i=this.discriminator,a=n.data[i],s=this.optionsMap.get(a);return s?n.common.async?s._parseAsync({data:n.data,path:n.path,parent:n}):s._parseSync({data:n.data,path:n.path,parent:n}):(ie(n,{code:Z.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[i]}),he)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,i){const a=new Map;for(const s of n){const o=Ni(s.shape[t]);if(!o.length)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const l of o){if(a.has(l))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(l)}`);a.set(l,s)}}return new lg({typeName:ge.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:a,...Ae(i)})}}function pb(e,t){const n=Ci(e),i=Ci(t);if(e===t)return{valid:!0,data:e};if(n===oe.object&&i===oe.object){const a=Le.objectKeys(t),s=Le.objectKeys(e).filter(l=>a.indexOf(l)!==-1),o={...e,...t};for(const l of s){const c=pb(e[l],t[l]);if(!c.valid)return{valid:!1};o[l]=c.data}return{valid:!0,data:o}}else if(n===oe.array&&i===oe.array){if(e.length!==t.length)return{valid:!1};const a=[];for(let s=0;s<e.length;s++){const o=e[s],l=t[s],c=pb(o,l);if(!c.valid)return{valid:!1};a.push(c.data)}return{valid:!0,data:a}}else return n===oe.date&&i===oe.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class Zd extends Ee{_parse(t){const{status:n,ctx:i}=this._processInputParams(t),a=(s,o)=>{if(db(s)||db(o))return he;const l=pb(s.value,o.value);return l.valid?((ub(s)||ub(o))&&n.dirty(),{status:n.value,value:l.data}):(ie(i,{code:Z.invalid_intersection_types}),he)};return i.common.async?Promise.all([this._def.left._parseAsync({data:i.data,path:i.path,parent:i}),this._def.right._parseAsync({data:i.data,path:i.path,parent:i})]).then(([s,o])=>a(s,o)):a(this._def.left._parseSync({data:i.data,path:i.path,parent:i}),this._def.right._parseSync({data:i.data,path:i.path,parent:i}))}}Zd.create=(e,t,n)=>new Zd({left:e,right:t,typeName:ge.ZodIntersection,...Ae(n)});class mi extends Ee{_parse(t){const{status:n,ctx:i}=this._processInputParams(t);if(i.parsedType!==oe.array)return ie(i,{code:Z.invalid_type,expected:oe.array,received:i.parsedType}),he;if(i.data.length<this._def.items.length)return ie(i,{code:Z.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),he;!this._def.rest&&i.data.length>this._def.items.length&&(ie(i,{code:Z.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const s=[...i.data].map((o,l)=>{const c=this._def.items[l]||this._def.rest;return c?c._parse(new pi(i,o,i.path,l)):null}).filter(o=>!!o);return i.common.async?Promise.all(s).then(o=>xn.mergeArray(n,o)):xn.mergeArray(n,s)}get items(){return this._def.items}rest(t){return new mi({...this._def,rest:t})}}mi.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new mi({items:e,typeName:ge.ZodTuple,rest:null,...Ae(t)})};class Jd extends Ee{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:i}=this._processInputParams(t);if(i.parsedType!==oe.object)return ie(i,{code:Z.invalid_type,expected:oe.object,received:i.parsedType}),he;const a=[],s=this._def.keyType,o=this._def.valueType;for(const l in i.data)a.push({key:s._parse(new pi(i,l,i.path,l)),value:o._parse(new pi(i,i.data[l],i.path,l)),alwaysSet:l in i.data});return i.common.async?xn.mergeObjectAsync(n,a):xn.mergeObjectSync(n,a)}get element(){return this._def.valueType}static create(t,n,i){return n instanceof Ee?new Jd({keyType:t,valueType:n,typeName:ge.ZodRecord,...Ae(i)}):new Jd({keyType:Mr.create(),valueType:t,typeName:ge.ZodRecord,...Ae(n)})}}class Eh extends Ee{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:i}=this._processInputParams(t);if(i.parsedType!==oe.map)return ie(i,{code:Z.invalid_type,expected:oe.map,received:i.parsedType}),he;const a=this._def.keyType,s=this._def.valueType,o=[...i.data.entries()].map(([l,c],d)=>({key:a._parse(new pi(i,l,i.path,[d,"key"])),value:s._parse(new pi(i,c,i.path,[d,"value"]))}));if(i.common.async){const l=new Map;return Promise.resolve().then(async()=>{for(const c of o){const d=await c.key,u=await c.value;if(d.status==="aborted"||u.status==="aborted")return he;(d.status==="dirty"||u.status==="dirty")&&n.dirty(),l.set(d.value,u.value)}return{status:n.value,value:l}})}else{const l=new Map;for(const c of o){const d=c.key,u=c.value;if(d.status==="aborted"||u.status==="aborted")return he;(d.status==="dirty"||u.status==="dirty")&&n.dirty(),l.set(d.value,u.value)}return{status:n.value,value:l}}}}Eh.create=(e,t,n)=>new Eh({valueType:t,keyType:e,typeName:ge.ZodMap,...Ae(n)});class Zs extends Ee{_parse(t){const{status:n,ctx:i}=this._processInputParams(t);if(i.parsedType!==oe.set)return ie(i,{code:Z.invalid_type,expected:oe.set,received:i.parsedType}),he;const a=this._def;a.minSize!==null&&i.data.size<a.minSize.value&&(ie(i,{code:Z.too_small,minimum:a.minSize.value,type:"set",inclusive:!0,exact:!1,message:a.minSize.message}),n.dirty()),a.maxSize!==null&&i.data.size>a.maxSize.value&&(ie(i,{code:Z.too_big,maximum:a.maxSize.value,type:"set",inclusive:!0,exact:!1,message:a.maxSize.message}),n.dirty());const s=this._def.valueType;function o(c){const d=new Set;for(const u of c){if(u.status==="aborted")return he;u.status==="dirty"&&n.dirty(),d.add(u.value)}return{status:n.value,value:d}}const l=[...i.data.values()].map((c,d)=>s._parse(new pi(i,c,i.path,d)));return i.common.async?Promise.all(l).then(c=>o(c)):o(l)}min(t,n){return new Zs({...this._def,minSize:{value:t,message:ue.toString(n)}})}max(t,n){return new Zs({...this._def,maxSize:{value:t,message:ue.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}Zs.create=(e,t)=>new Zs({valueType:e,minSize:null,maxSize:null,typeName:ge.ZodSet,...Ae(t)});class tl extends Ee{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==oe.function)return ie(n,{code:Z.invalid_type,expected:oe.function,received:n.parsedType}),he;function i(l,c){return Ih({data:l,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Nh(),El].filter(d=>!!d),issueData:{code:Z.invalid_arguments,argumentsError:c}})}function a(l,c){return Ih({data:l,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Nh(),El].filter(d=>!!d),issueData:{code:Z.invalid_return_type,returnTypeError:c}})}const s={errorMap:n.common.contextualErrorMap},o=n.data;if(this._def.returns instanceof Pl){const l=this;return In(async function(...c){const d=new Vn([]),u=await l._def.args.parseAsync(c,s).catch(f=>{throw d.addIssue(i(c,f)),d}),p=await Reflect.apply(o,this,u);return await l._def.returns._def.type.parseAsync(p,s).catch(f=>{throw d.addIssue(a(p,f)),d})})}else{const l=this;return In(function(...c){const d=l._def.args.safeParse(c,s);if(!d.success)throw new Vn([i(c,d.error)]);const u=Reflect.apply(o,this,d.data),p=l._def.returns.safeParse(u,s);if(!p.success)throw new Vn([a(u,p.error)]);return p.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new tl({...this._def,args:mi.create(t).rest(Ms.create())})}returns(t){return new tl({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,i){return new tl({args:t||mi.create([]).rest(Ms.create()),returns:n||Ms.create(),typeName:ge.ZodFunction,...Ae(i)})}}
vendor: 4,573 bytes, line 486
486class eu extends Ee{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}eu.create=(e,t)=>new eu({getter:e,typeName:ge.ZodLazy,...Ae(t)});class tu extends Ee{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return ie(n,{received:n.data,code:Z.invalid_literal,expected:this._def.value}),he}return{status:"valid",value:t.data}}get value(){return this._def.value}}tu.create=(e,t)=>new tu({value:e,typeName:ge.ZodLiteral,...Ae(t)});function N5(e,t){return new Va({values:e,typeName:ge.ZodEnum,...Ae(t)})}class Va extends Ee{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),i=this._def.values;return ie(n,{expected:Le.joinValues(i),received:n.parsedType,code:Z.invalid_type}),he}if(this._cache||(this._cache=new Set(this._def.values)),!this._cache.has(t.data)){const n=this._getOrReturnCtx(t),i=this._def.values;return ie(n,{received:n.data,code:Z.invalid_enum_value,options:i}),he}return In(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t,n=this._def){return Va.create(t,{...this._def,...n})}exclude(t,n=this._def){return Va.create(this.options.filter(i=>!t.includes(i)),{...this._def,...n})}}Va.create=N5;class nu extends Ee{_parse(t){const n=Le.getValidEnumValues(this._def.values),i=this._getOrReturnCtx(t);if(i.parsedType!==oe.string&&i.parsedType!==oe.number){const a=Le.objectValues(n);return ie(i,{expected:Le.joinValues(a),received:i.parsedType,code:Z.invalid_type}),he}if(this._cache||(this._cache=new Set(Le.getValidEnumValues(this._def.values))),!this._cache.has(t.data)){const a=Le.objectValues(n);return ie(i,{received:i.data,code:Z.invalid_enum_value,options:a}),he}return In(t.data)}get enum(){return this._def.values}}nu.create=(e,t)=>new nu({values:e,typeName:ge.ZodNativeEnum,...Ae(t)});class Pl extends Ee{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==oe.promise&&n.common.async===!1)return ie(n,{code:Z.invalid_type,expected:oe.promise,received:n.parsedType}),he;const i=n.parsedType===oe.promise?n.data:Promise.resolve(n.data);return In(i.then(a=>this._def.type.parseAsync(a,{path:n.path,errorMap:n.common.contextualErrorMap})))}}Pl.create=(e,t)=>new Pl({type:e,typeName:ge.ZodPromise,...Ae(t)});class zr extends Ee{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===ge.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:i}=this._processInputParams(t),a=this._def.effect||null,s={addIssue:o=>{ie(i,o),o.fatal?n.abort():n.dirty()},get path(){return i.path}};if(s.addIssue=s.addIssue.bind(s),a.type==="preprocess"){const o=a.transform(i.data,s);if(i.common.async)return Promise.resolve(o).then(async l=>{if(n.value==="aborted")return he;const c=await this._def.schema._parseAsync({data:l,path:i.path,parent:i});return c.status==="aborted"?he:c.status==="dirty"||n.value==="dirty"?Fo(c.value):c});{if(n.value==="aborted")return he;const l=this._def.schema._parseSync({data:o,path:i.path,parent:i});return l.status==="aborted"?he:l.status==="dirty"||n.value==="dirty"?Fo(l.value):l}}if(a.type==="refinement"){const o=l=>{const c=a.refinement(l,s);if(i.common.async)return Promise.resolve(c);if(c instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return l};if(i.common.async===!1){const l=this._def.schema._parseSync({data:i.data,path:i.path,parent:i});return l.status==="aborted"?he:(l.status==="dirty"&&n.dirty(),o(l.value),{status:n.value,value:l.value})}else return this._def.schema._parseAsync({data:i.data,path:i.path,parent:i}).then(l=>l.status==="aborted"?he:(l.status==="dirty"&&n.dirty(),o(l.value).then(()=>({status:n.value,value:l.value}))))}if(a.type==="transform")if(i.common.async===!1){const o=this._def.schema._parseSync({data:i.data,path:i.path,parent:i});if(!Qs(o))return he;const l=a.transform(o.value,s);if(l instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:l}}else return this._def.schema._parseAsync({data:i.data,path:i.path,parent:i}).then(o=>Qs(o)?Promise.resolve(a.transform(o.value,s)).then(l=>({status:n.value,value:l})):he);Le.assertNever(a)}}
vendor: 4,699 bytes, line 486
486zr.create=(e,t,n)=>new zr({schema:e,typeName:ge.ZodEffects,effect:t,...Ae(n)});zr.createWithPreprocess=(e,t,n)=>new zr({schema:t,effect:{type:"preprocess",transform:e},typeName:ge.ZodEffects,...Ae(n)});class ci extends Ee{_parse(t){return this._getType(t)===oe.undefined?In(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}ci.create=(e,t)=>new ci({innerType:e,typeName:ge.ZodOptional,...Ae(t)});class Ka extends Ee{_parse(t){return this._getType(t)===oe.null?In(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Ka.create=(e,t)=>new Ka({innerType:e,typeName:ge.ZodNullable,...Ae(t)});class ru extends Ee{_parse(t){const{ctx:n}=this._processInputParams(t);let i=n.data;return n.parsedType===oe.undefined&&(i=this._def.defaultValue()),this._def.innerType._parse({data:i,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}ru.create=(e,t)=>new ru({innerType:e,typeName:ge.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...Ae(t)});class iu extends Ee{_parse(t){const{ctx:n}=this._processInputParams(t),i={...n,common:{...n.common,issues:[]}},a=this._def.innerType._parse({data:i.data,path:i.path,parent:{...i}});return Vd(a)?a.then(s=>({status:"valid",value:s.status==="valid"?s.value:this._def.catchValue({get error(){return new Vn(i.common.issues)},input:i.data})})):{status:"valid",value:a.status==="valid"?a.value:this._def.catchValue({get error(){return new Vn(i.common.issues)},input:i.data})}}removeCatch(){return this._def.innerType}}iu.create=(e,t)=>new iu({innerType:e,typeName:ge.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...Ae(t)});class _h extends Ee{_parse(t){if(this._getType(t)!==oe.nan){const i=this._getOrReturnCtx(t);return ie(i,{code:Z.invalid_type,expected:oe.nan,received:i.parsedType}),he}return{status:"valid",value:t.data}}}_h.create=e=>new _h({typeName:ge.ZodNaN,...Ae(e)});const k7=Symbol("zod_brand");class l1 extends Ee{_parse(t){const{ctx:n}=this._processInputParams(t),i=n.data;return this._def.type._parse({data:i,path:n.path,parent:n})}unwrap(){return this._def.type}}class op extends Ee{_parse(t){const{status:n,ctx:i}=this._processInputParams(t);if(i.common.async)return(async()=>{const s=await this._def.in._parseAsync({data:i.data,path:i.path,parent:i});return s.status==="aborted"?he:s.status==="dirty"?(n.dirty(),Fo(s.value)):this._def.out._parseAsync({data:s.value,path:i.path,parent:i})})();{const a=this._def.in._parseSync({data:i.data,path:i.path,parent:i});return a.status==="aborted"?he:a.status==="dirty"?(n.dirty(),{status:"dirty",value:a.value}):this._def.out._parseSync({data:a.value,path:i.path,parent:i})}}static create(t,n){return new op({in:t,out:n,typeName:ge.ZodPipeline})}}class au extends Ee{_parse(t){const n=this._def.innerType._parse(t),i=a=>(Qs(a)&&(a.value=Object.freeze(a.value)),a);return Vd(n)?n.then(a=>i(a)):i(n)}unwrap(){return this._def.innerType}}au.create=(e,t)=>new au({innerType:e,typeName:ge.ZodReadonly,...Ae(t)});function Zk(e,t){const n=typeof e=="function"?e(t):typeof e=="string"?{message:e}:e;return typeof n=="string"?{message:n}:n}function c1(e,t={},n){return e?_l.create().superRefine((i,a)=>{const s=e(i);if(s instanceof Promise)return s.then(o=>{if(!o){const l=Zk(t,i),c=l.fatal??n??!0;a.addIssue({code:"custom",...l,fatal:c})}});if(!s){const o=Zk(t,i),l=o.fatal??n??!0;a.addIssue({code:"custom",...o,fatal:l})}}):_l.create()}const N7={object:bt.lazycreate};var ge;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline",e.ZodReadonly="ZodReadonly"})(ge||(ge={}));const I7=(e,t={message:`Input not instance of ${e.name}`})=>c1(n=>n instanceof e,t),et=Mr.create,d1=za.create,S7=_h.create,C7=Wa.create,u1=Kd.create,E7=Xs.create,_7=Sh.create,P7=Yd.create,I5=Qd.create,Ph=_l.create,T7=Ms.create,D7=Vi.create,O7=Ch.create,S5=Br.create,lp=bt.create,M7=bt.strictCreate,p1=Xd.create,R
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Useful for marketing content, demos, and social media videos.",category:"Marketing & Content",sub_category:"Video Generation",type:"Tool",tags:["video","video editing","ai video","marketing video","clip","reel","generation"],use_cases:["Generate AI video clips from text","Edit and enhance marketing videos","Create short-form social media content"],business_functions:["Marketing"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://runwayml.com",source_page:"/general-ai-toolkit"},{id:"seedance",title:"Seedance 2.0",description:"Create short AI-generated videos combining images, video clips, and audio. Good for product showcases, ads, and social reels.",category:"Marketing & Content",sub_category:"Video Generation",type:"Tool",tags:["video","ai video","reel","short","product showcase","marketing video","social media"],use_cases:["Create product showcase videos","Generate AI-
486powered social reels","Marketing video content at scale"],business_functions:["Marketing"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://seedance2.ai",source_page:"/general-ai-toolkit"},{id:"descript",title:"Descript",description:"Edit video and podcast by editing the transcript â delete words in the text, they disappear from the video. AI-powered media editing.",category:"Marketing & Content",sub_category:"Video Editing",type:"Tool",tags:["video editing","podcast","recording","transcript","audio","content editing","youtube"],use_cases:["Edit podcast episodes efficiently","Repurpose video interviews","Remove filler words automatically"],business_functions:["Marketing"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://www.descript.com",source_page:"/general-ai-toolkit"},{id:"opusclip",title:"OpusClip",description:"Turn long videos into short, shareable clips automatically. AI picks the best moments from webinars and interviews.",category:"Marketing & Content",sub_category:"Video Editing",type:"Tool",tags:["video","clip","shorts","tiktok","youtube","repurpose","social media","podcast"],use_cases:["Repurpose webinars into social clips","Create short-form video from long content"],business_functions:["Marketing"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://www.opus.pro",source_page:"/general-ai-toolkit"},{id:"captions-ai",title:"Captions.ai",description:"Add AI-generated animated captions to videos automatically. Popular for Instagram Reels, TikTok, and YouTube Shorts.",category:"Marketing & Content",sub_category:"Video Editing",type:"Tool",tags:["captions","subtitles","video editing","shorts","tiktok","instagram","reel","youtube"],use_cases:["Auto-caption social media videos","Add animated subtitles to reels"],business_functions:["Marketing"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://captions.ai/",source_page:"/general-ai-toolkit"},{id:"elevenlabs",title:"ElevenLabs",description:"Convert text to natural-sounding speech. Clone a voice or choose from hundreds â used for video voiceover, podcasts, and content.",category:"Marketing & Content",sub_category:"Audio",type:"Tool",tags:["audio","voice","voiceover","text to speech","podcast","video","narration"],use_cases:["Add professional voiceover to videos","Generate podcast narration","Localise content with AI voices"],business_functions:["Marketing","HR"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://elevenlabs.io",source_page:"/general-ai-toolkit"},{id:"vizard",title:"Vizard.ai",description:"Turn long videos into short social media clips automatically. Saves hours of editing for webinars and podcasts.",category:"Marketing & Content",sub_category:"Video Editing",type:"Tool",tags:["video","clip","repurpose","social media","shorts","tiktok","webinar","youtube"],use_cases:["Repurpose long-form video into clips","Generate social content from webinars"],business_functions:["Marketing"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://vizard.ai/",source_page:"/general-ai-toolkit"},{id:"hubspot",title:"HubSpot AI",description:"CRM with AI built in â tracks contacts, automates sales follow-ups, and generates marketing content. Good starting point for SMEs.",category:"Sales",sub_category:"CRM",type:"Platform",tags:["crm","sales","marketing","automation","lead","email","customer service"],use_cases:["Manage sales pipeline with AI","Automate email follow-ups","Track customer interactions"],business_functions:["Sales","Marketing"],pe_relevance:"Low",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.hubspot.com/artificial-intelligence",source_page:"/general-ai-toolkit"},{id:"salesforce-einstein",title:"Salesforce Einstein",description:"AI layer inside Salesforce CRM for sales forecasting, lead scoring, and customer workflow automation. Enterprise-grade.",category:"Sales",sub_category:"CRM",type:"Platform",tags:["crm","sales","forecasting","lead scoring","enterprise","automation"],use_cases:["Sales forecasting","Automated lead scoring","Enterprise customer workflow automation"],business_functions:["Sales"],pe_relevance:"Low",implementation_complexity:"High",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.salesforce.com/products/einstein/",source_page:"/general-ai-toolkit"},{id:"saikoo-crm",title:"Saikoo CRM",description:"Financial CRM for Italian SMEs â combines customer and prospect management with official company data, financial indicators, and EBITDA-based analysis.",category:"Sales",sub_category:"CRM",type:"Tool",tags:["crm","smes","italy","sales","prospecting","financial data","ebitda","company research"],use_cases:["Manage SME customer relationships","Qualify prospects with financial data","Monitor company financial indicators","Support sales research"],business_functions:["Sales","Finance","Research"],pe_relevance:"Medium",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://apps.apple.com/it/app/saikoo-crm/id6758054592?l=en-GB",source_page:"/general-ai-toolkit"}
486,{id:"clay",title:"Clay",description:"AI-powered data enrichment and outreach automation. Used for LP investor outreach, deal origination pipelines, and relationship intelligence.",category:"Sales",sub_category:"Prospecting",type:"Tool",tags:["sales","prospecting","crm","outreach","data enrichment","automation","sales prospecting","investor relations"],use_cases:["Automate sales prospecting","Enrich contact data","Build outreach sequences","LP relationship management"],business_functions:["Sales","Investment"],pe_relevance:"High",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.clay.com/",source_page:"/ai-agentic-companies"},{id:"dynamo",title:"Dynamo Software",description:"CRM and data platform for private equity, VC, and asset managers. Improves pipeline visibility and investor relationship management.",category:"Sales",sub_category:"PE CRM",type:"Platform",tags:["crm","private equity","investor relations","sales","pipeline management","fund management"],use_cases:["Investor CRM for PE funds","Pipeline and deal tracking","LP relationship management"],business_functions:["Investment","Sales"],pe_relevance:"High",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.dynamosoftware.com/",source_page:"/ai-strategy-toolkit"},{id:"dealcloud",title:"DealCloud",description:"Deal flow management and relationship intelligence platform for private capital. Centralises pipeline, deal tracking, and investor relationships.",category:"Sales",sub_category:"PE CRM",type:"Platform",tags:["deal flow","crm","private equity","sales","investor relations","pipeline management"],use_cases:["Manage deal pipeline","Track investor relationships","Centralise deal intelligence"],business_functions:["Investment","Sales"],pe_relevance:"High",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.intapp.com/dealcloud/",source_page:"/ai-strategy-toolkit"},{id:"sitegpt",title:"SiteGPT",description:"Add an AI chatbot to your website, trained on your own content. Answers customer questions automatically, 24/7.",category:"Customer Service",sub_category:"Chatbots",type:"Tool",tags:["customer support","chatbot","website","automation","faq","24/7"],use_cases:["Automate customer support on website","Handle FAQs automatically","Reduce support ticket volume"],business_functions:["Customer Service"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://sitegpt.ai/",source_page:"/general-ai-toolkit"},{id:"chatbase",title:"Chatbase",description:"Build a chatbot from your PDFs, help docs, or website pages. Embed it on your site to handle customer queries.",category:"Customer Service",sub_category:"Chatbots",type:"Tool",tags:["customer support","chatbot","documents","faq","automation","website"],use_cases:["Build document-trained chatbot","Automate customer support queries","Internal knowledge base chatbot"],business_functions:["Customer Service","Operations"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://www.chatbase.co/",source_page:"/general-ai-toolkit"},{id:"aisera",title:"Aisera",description:"Enterprise AI copilot and agent platform for IT, HR, and operations. Reduces support volume and accelerates workflow resolution.",category:"Customer Service",sub_category:"Enterprise Automation",type:"Platform",tags:["customer support","hr automation","it automation","workflow automation","enterprise ai","copilot"],use_cases:["Automate customer support","Reduce IT ticket volume","HR process automation"],business_functions:["Customer Service","HR","IT"],pe_relevance:"Medium",implementation_complexity:"High",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://aisera.com/",source_page:"/ai-agentic-companies"},{id:"fathom",title:"Fathom",description:"Joins your video calls, records, transcribes, and summarises them instantly. Free plan available â one of the most popular meeting AI tools.",category:"Productivity",sub_category:"Meeting Intelligence",type:"Tool",tags:["meetings","transcription","productivity","notes","action items","internal productivity"],use_cases:["Automate meeting notes","Extract action items from calls","Share meeting summaries instantly"],business_functions:["Operations","Investment","Sales"],pe_relevance:"Medium",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://www.fathom.ai/",source_page:"/general-ai-toolkit"}
486,{id:"fireflies",title:"Fireflies.ai",description:"Joins your video calls, records and transcribes them, then sends a summary with action items automatically.",category:"Productivity",sub_category:"Meeting Intelligence",type:"Tool",tags:["meetings","transcription","productivity","notes","action items","crm"],use_cases:["Automate meeting notes and transcription","Push action items to CRM","Search past meeting content"],business_functions:["Operations","Sales","HR"],pe_relevance:"Medium",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://fireflies.ai",source_page:"/general-ai-toolkit"},{id:"granola",title:"Granola",description:"AI notepad that listens to your meetings and creates structured notes automatically. Works locally on your Mac.",category:"Productivity",sub_category:"Meeting Intelligence",type:"Tool",tags:["meetings","notes","productivity","local","transcription","mac"],use_cases:["Auto-generate structured meeting notes","Private local meeting transcription"],business_functions:["Operations","Investment"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Self-hosted",open_source:!1,enterprise_ready:!1,website:"https://www.granola.ai",source_page:"/general-ai-toolkit"},{id:"copilot365",title:"Microsoft Copilot 365",description:"AI built into Word, Excel, PowerPoint, Outlook, and Teams. Drafts emails, creates slides, and summarises meeting recordings.",category:"Productivity",sub_category:"Office Suite AI",type:"Platform",tags:["productivity","microsoft","excel","word","powerpoint","teams","email","meetings","enterprise"],use_cases:["Automate report generation in Excel","Draft emails in Outlook","Create presentations with AI","Summarise Teams meetings"],business_functions:["Operations","Finance","HR","Marketing"],pe_relevance:"Medium",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.microsoft.com/microsoft-365/copilot",source_page:"/general-ai-toolkit"},{id:"zapier",title:"Zapier",description:"Connect apps and automate tasks without coding. Trigger actions across Gmail, Slack, CRM, Notion, and hundreds of tools.",category:"Workflow Automation",sub_category:"No-Code Integration",type:"Tool",tags:["workflow automation","integration","connect apps","no-code","automation","trigger","zap"],use_cases:["Automate repetitive tasks between apps","Connect CRM to email workflows","Trigger actions without code"],business_functions:["Operations","Marketing","Sales"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://zapier.com",source_page:"/general-ai-toolkit"},{id:"make",title:"Make",description:"Build visual automation workflows connecting your tools â more flexible than Zapier for complex logic. No coding needed.",category:"Workflow Automation",sub_category:"No-Code Integration",type:"Tool",tags:["workflow automation","integration","no-code","automation","visual"],use_cases:["Build complex multi-step automations","Connect business tools with logic","Process automation without code"],business_functions:["Operations"],pe_relevance:"Low",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.make.com",source_page:"/general-ai-toolkit"},{id:"n8n",title:"n8n",description:"Open-source automation tool you can host on your own server. Full control over your data, 200+ app integrations.",category:"Workflow Automation",sub_category:"Self-hosted Automation",type:"Tool",tags:["workflow automation","open source","self-hosted","integration","automation","data control"],use_cases:["Self-hosted workflow automation","Data-sensitive process automation","Custom integrations without SaaS fees"],business_functions:["Operations","Engineering"],pe_relevance:"Medium",implementation_complexity:"Medium",deployment_type:"Self-hosted",open_source:!0,enterprise_ready:!0,website:"https://n8n.io/",source_page:"/general-ai-toolkit"},{id:"power-automate",title:"Power Automate",description:"Microsoft's automation tool. Automate tasks between Office 365, SharePoint, Teams, and hundreds of other apps.",category:"Workflow Automation",sub_category:"Enterprise Automation",type:"Tool",tags:["workflow automation","microsoft","office 365","sharepoint","teams","enterprise"],use_cases:["Automate Office 365 workflows","Connect SharePoint and Teams","Enterprise process automation"],business_functions:["Operations","Finance","HR"],pe_relevance:"Medium",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://powerautomate.microsoft.com/",source_page:"/general-ai-toolkit"},{id:"workato",title:"Workato",description:"Connects enterprise apps and automates complex multi-step workflows. Best suited for mid-size and larger organisations.",category:"Workflow Automation",sub_category:"Enterprise Integration",type:"Platform",tags:["workflow automation","enterprise","integration","automation","multi-step"],use_cases:["Enterprise workflow automation","Complex multi-step process automation","Integrate business systems"],business_functions:["Operations","Finance"],pe_relevance:"Medium",implementation_complexity:"High",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.workato.com/",source_page:"/general-ai-toolkit"},{id:"bardeen",title:"Bardeen",description:"Automate repetitive browser tasks with AI â scrape data, fill forms, move information between tabs â all without writing code.",category:"Workflow Automation",sub_category:"Browser Automation",type:"Tool",tags:["workflow automation","browser","scraping","no-code","data extraction","forms"],use_cases:["Automate data collection from websites","Fill forms automatically","Extract and move browser data"],business_functions:["Operations","Research","Sales"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://www.bardeen.ai/",source_page:"/general-ai-toolkit"},{id:"uipath",title:"UiPath",description:"Enterprise RPA and AI platform for automating repetitive processes in finance, operations, and back-office functions.",category:"Workflow Automation",sub_category:"RPA",type:"Platform",tags:["workflow automation","rpa","finance automation","back-office","process automation","enterprise"],use_cases:["Automate finance reporting","Streamline back-office operations","Reduce manual data entry","Automate fund administration"],business_functions:["Finance","Operations","HR"],pe_relevance:"High",implementation_complexity:"High",deployment_type:"Both",open_source:!1,enterprise_ready:!0,website:"https://www.uipath.com/",source_page:"/ai-strategy-toolkit"},{id:"atlassian-rovo",title:"Atlassian Rovo",description:"Enterprise AI search and agent platform for knowledge management, fund operations, and cross-team workflows.",category:"Knowledge Management",sub_category:"Enterprise Search",type:"Platform",tags:["knowledge management","workflow automation","enterprise ai","search","internal productivity","ai agents","jira","confluence"],use_cases:["Build internal AI search","Connect enterprise knowledge sources","Automate cross-team workflows"],business_functions:["Operations","Engineering","HR"],pe_relevance:"Medium",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.atlassian.com/software/rovo",source_page:"/ai-strategy-toolkit"},{id:"moveworks",title:"Moveworks",description:"Agentic AI for enterprise automation across IT, HR, and internal systems. Accelerates resolution time across portfolio company operations.",category:"Workflow Automation",sub_category:"Enterprise AI Agents",type:"Platform",tags:["workflow automation","hr automation","it automation","enterprise ai","internal productivity","ai agents"],use_cases:["Automate IT helpdesk","Streamline HR requests","Internal productivity automation"],business_functions:["IT","HR","Operations"],pe_relevance:"Medium",implementation_complexity:"High",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.moveworks.com/",source_page:"/ai-agentic-companies"},{id:"beam",title:"Beam",description:"Agentic process automation for end-to-e
486nd enterprise workflows. Executes multi-step operational processes without human intervention.",category:"Workflow Automation",sub_category:"Enterprise AI Agents",type:"Platform",tags:["ai agents","workflow automation","process automation","enterprise","autonomous"],use_cases:["End-to-end workflow automation","Autonomous process execution","Multi-step task delegation"],business_functions:["Operations"],pe_relevance:"Medium",implementation_complexity:"High",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.beam.ai/",source_page:"/ai-agentic-companies"},{id:"adept",title:"Adept",description:"Agentic AI that operates across financial technology stacks and enterprise software, enabling autonomous workflow execution.",category:"Workflow Automation",sub_category:"Enterprise AI Agents",type:"Platform",tags:["ai agents","workflow automation","enterprise ai","finance automation","autonomous","fintech"],use_cases:["Automate workflows across financial software stacks","Enterprise AI automation"],business_functions:["Finance","Operations"],pe_relevance:"Medium",implementation_complexity:"High",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.adept.ai/",source_page:"/ai-agentic-companies"},{id:"bolt-new",title:"Bolt.new",description:"Describe your app idea in plain language and get a working prototype in minutes â no coding required.",category:"Website & Digital",sub_category:"App Builder",type:"Tool",tags:["website","app","no-code","prototype","web app","build website","fast"],use_cases:["Build working app prototype quickly","Launch MVP without developers","Create custom internal tools"],business_functions:["Engineering","Operations"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://bolt.new/",source_page:"/general-ai-toolkit"},{id:"framer",title:"Framer AI",description:"Design and publish professional websites with AI. No code needed â ideal for landing pages and marketing sites.",category:"Website & Digital",sub_category:"Website Builder",type:"Tool",tags:["website","landing page","no-code","web design","marketing site","prototype","ui"],use_cases:["Build a company website without code","Create marketing landing pages"],business_functions:["Marketing"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://www.framer.com",source_page:"/general-ai-toolkit"},{id:"durable",title:"Durable",description:"Build a complete business website in 30 seconds with AI. Generates copy, images, and layout automatically.",category:"Website & Digital",sub_category:"Website Builder",type:"Tool",tags:["website","landing page","no-code","small business","web design","ai website","fast"],use_cases:["Launch business website in minutes","Generate website copy and layout with AI"],business_functions:["Marketing"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://durable.com/",source_page:"/general-ai-toolkit"},{id:"10web",title:"10Web",description:"AI-powered WordPress website builder. Generates and optimises your site â good if you already use WordPress.",category:"Website & Digital",sub_category:"Website Builder",type:"Tool",tags:["website","wordpress","no-code","web design","ai website"],use_cases:["Build WordPress site with AI","Optimise existing WordPress site","Generate website content automatically"],business_functions:["Marketing"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://10web.io/",source_page:"/general-ai-toolkit"},{id:"replit",title:"Replit",description:"Build and deploy web apps directly in your browser â no installation needed. AI helps write the code as you go.",category:"Coding",sub_category:"IDE & Dev Environment",type:"Platform",tags:["coding","developer","web app","deployment","ai coding","prototyping"],use_cases:["Build and deploy web applications","Prototype apps without local setup","AI-assisted development"],business_functions:["Engineering"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://replit.com",source_page:"/general-ai-toolkit"},{id:"github-copilot",title:"GitHub Copilot",description:"AI assistant for developers â suggests code and completes functions as you type. Integrates with most code editors.",category:"Coding",sub_category:"AI Code Assistant",type:"Tool",tags:["coding","developer","ai coding","github","autocomplete","programming"],use_cases:["Accelerate software development","Auto-complete code and functions","Reduce developer cycle time"],business_functions:["Engineering"],pe_relevance:"Medium",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://github.com/features/copilot",source_page:"/general-ai-toolkit"},{id:"cursor",title:"Cursor",description:"Code editor with deep AI integration â write, edit, and explain code in natural language. Popular among developers.",category:"Coding",sub_category:"AI Code Editor",type:"Tool",tags:["coding","developer","ai coding","editor","natural language","programming"],use_cases:["Build software with natural language instructions","Refactor and explain codebase
486s","AI pair programming"],business_functions:["Engineering"],pe_relevance:"Medium",implementation_complexity:"Low",deployment_type:"Self-hosted",open_source:!1,enterprise_ready:!0,website:"https://cursor.sh",source_page:"/general-ai-toolkit"},{id:"v0-vercel",title:"v0 by Vercel",description:"Describe a UI element in words and get working code for it instantly. Used by developers to prototype interfaces fast.",category:"Coding",sub_category:"UI Generation",type:"Tool",tags:["coding","developer","ui","prototype","frontend","design to code"],use_cases:["Generate UI components from description","Rapidly prototype frontend interfaces"],business_functions:["Engineering","Marketing"],pe_relevance:"Low",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://v0.dev",source_page:"/general-ai-toolkit"},{id:"open-interpreter",title:"Open Interpreter",description:"Give your computer instructions in plain language â it runs code, analyses files, and automates tasks on your machine.",category:"Coding",sub_category:"Local AI Agent",type:"GitHub",tags:["coding","ai agents","automation","local","open source","developer","analyst"],use_cases:["Run local AI coding agent","Automate file and data processing","Local AI task execution"],business_functions:["Engineering","Operations"],pe_relevance:"Medium",implementation_complexity:"Medium",deployment_type:"Self-hosted",open_source:!0,enterprise_ready:!1,website:"https://openinterpreter.com/",source_page:"/general-ai-toolkit"},{id:"factory",title:"Factory",description:"Agent-native software development platform. Accelerates engineering output for PE-backed software companies.",category:"Coding",sub_category:"AI Dev Platform",type:"Platform",tags:["coding","developer","software development","ai agents","engineering","automation"],use_cases:["Accelerate software development","Automate code review","Reduce engineering costs"],business_functions:["Engineering"],pe_relevance:"Medium",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://factory.ai/",source_page:"/ai-agentic-companies"},{id:"cognition-devin",title:"Devin â Cognition AI",description:"AI software engineer capable of end-to-end development tasks. Applicable to software-intensive portfolio companies.",category:"Coding",sub_category:"AI Dev Platform",type:"Platform",tags:["coding","developer","software development","ai agents","engineering"],use_cases:["Autonomous software development","End-to-end coding tasks","Reduce engineering headcount costs"],business_functions:["Engineering"],pe_relevance:"Medium",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://www.cognition.ai/",source_page:"/ai-agentic-companies"},{id:"powerbi",title:"Power BI",description:"Microsoft BI platform for interactive dashboards and AI-powered reporting. Supports portfolio-level KPI monitoring and automated finance reports.",category:"Finance",sub_category:"Business Intelligence",type:"Tool",tags:["finance","data analysis","reporting","dashboards","bi","finance automation","portfolio monitoring","kpis"],use_cases:["Automate finance reporting","Build portfolio dashboards","KPI monitoring","Board-ready reporting"],business_functions:["Finance","Operations"],pe_relevance:"High",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://powerbi.microsoft.com",source_page:"/ai-strategy-toolkit"},{id:"tableau",title:"Tableau AI",description:"Data visualisation with AI-powered insights. Industry standard for business analytics and performance dashboards.",category:"Finance",sub_category:"Business Intelligence",type:"Tool",tags:["data analysis","finance","dashboards","bi","visualisation","reporting","portfolio monitoring"],use_cases:["Visualise portfolio performance","Build operational dashboards","Data-driven board reporting"],business_functions:["Finance","Operations"],pe_relevance:"High",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.tableau.com/products/tableau-ai",source_page:"/ai-strategy-toolkit"},{id:"wren-ai",title:"Wren AI",description:"Open-source text-to-SQL for business intelligence. Query your data in plain English â no SQL or engineering team required.",category:"Finance",sub_category:"Self-serve BI",type:"Tool",tags:["data analysis","finance","sql","open source","business intelligence","reporting","self-serve data"],use_cases:["Query financial data without SQL","Self-serve business intelligence","Automate data reporting"],business_functions:["Finance","Operations"],pe_relevance:"Medium",implementation_complexity:"Medium",deployment_type:"Both",open_source:!0,enterprise_ready:!1,website:"https://www.getwren.ai",github:"https://github.com/canner/WrenAI",source_page:"/ai-strategy-toolkit"},{id:"datarobot",title:"DataRobot",description:"Enterprise AutoML platform for demand forecasting, customer churn prediction, and pipeline analytics â no coding required.",category:"Finance",sub_category:"Predictive Analytics",type:"Platform",tags:["data analysis","finance","machine learning","forecasting","predictive analytics","automation"],use_cases:["Forecast demand and revenue","Predict customer churn","Build predictive finance models"],business_functions:["Finance","Sales"],pe_relevance:"Medium",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.datarobot.com",source_page:"/general-ai-toolkit"},{id:"mindsdb",title:"MindsDB",description:"Add AI predictions directly to your existing database. Ask business questions in standard SQL â get AI-powered answers back.",category:"Finance",sub_category:"Predictive Analytics",type:"Platform",tags:["data analysis","sql","machine learning","database","predictive analytics","open source"],use_cases:["Add ML predictions to existing database","AI-powered SQL queries","Forecast from existing data"],business_functions:["Finance","Engineering"],pe_relevance:"Medium",implementation_complexity:"Medium",deployment_type:"Both",open_source:!0,enterprise_ready:!1,website:"https://mindsdb.com/",source_page:"/general-ai-toolkit"},{id:"neo4j",title:"Neo4j",description:"Graph database for mapping complex relationships â supply chains, ownership structures, networks. 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Starting point for building business AI tools.",category:"AI Agents",sub_category:"Reference Collection",type:"GitHub",tags:["ai agents","llm","rag","open source","apps","build ai agents","reference"],use_cases:["Find LLM app patterns and templates","Reference implementations for business AI"],business_functions:["Engineering"],pe_relevance:"Low",implementation_complexity:"Medium",deployment_type:"Self-hosted",open_source:!0,enterprise_ready:!1,website:"https://github.com/Shubhamsaboo/awesome-llm-apps",github:"https://github.com/Shubhamsaboo/awesome-llm-apps",source_page:"/learning"},{id:"huggingface",title:"Hugging Face",description:"Largest open-source AI model library. Find, test, and deploy models for text, images, audio, and more.",category:"AI Agents",sub_category:"Model Hub",type:"GitHub",tags:["open source","llm","machine learning","developer","models","ai agents","build ai agents"],use_cases:["Find open-source AI models","Fine-tune LLMs on private data","Deploy custom AI models"],business_functions:["Engineering","Research"],pe_relevance:"Medium",implementation_complexity:"High",deployment_type:"Both",open_source:!0,enterprise_ready:!0,website:"https://huggingface.co/",github:"https://github.com/huggingface",source_page:"/general-ai-toolkit"},{id:"llama3",title:"Llama 3 â Meta AI",description:"Meta's free open-source AI model. Can run locally â full data privacy, no subscription, no cloud dependency.",category:"AI Agents",sub_category:"Open Weight Models",type:"GitHub",tags:["open source","llm","developer","private","ai agents","build ai agents","local"],use_cases:["Run AI locally for data privacy","Build custom internal AI tools","Self-hosted AI assistant"],business_functions:["Engineering"],pe_relevance:"Medium",implementation_complexity:"High",deployment_type:"Self-hosted",open_source:!0,enterprise_ready:!1,website:"https://llama.meta.com/llama3/",github:"https://github.com/meta-llama/llama3",source_page:"/general-ai-toolkit"},{id:"mistral",title:"Mistral AI",description:"High-quality open-source AI models from a French company. Strong multilingual support â well-suited for European deployments.",category:"AI Agents",sub_category:"Open Weight Models",type:"Platform",tags:["open source","llm","multilingual","european","developer","build ai agents"],use_cases:["European-compl
486iant open AI models","Multilingual AI applications","Custom model deployment"],business_functions:["Engineering"],pe_relevance:"Medium",implementation_complexity:"High",deployment_type:"Both",open_source:!0,enterprise_ready:!0,website:"https://mistral.ai/",source_page:"/general-ai-toolkit"},{id:"deepseek",title:"DeepSeek",description:"Powerful open-source AI model from China. Handles long documents and images. Free alternative for high-volume or private use.",category:"AI Agents",sub_category:"Open Weight Models",type:"GitHub",tags:["open source","llm","developer","private","document analysis","build ai agents"],use_cases:["High-volume private AI processing","Long document analysis","Cost-efficient AI deployment"],business_functions:["Engineering","Research"],pe_relevance:"Low",implementation_complexity:"High",deployment_type:"Both",open_source:!0,enterprise_ready:!1,website:"https://github.com/deepseek-ai/DeepSeek-V2",github:"https://github.com/deepseek-ai/DeepSeek-V2",source_page:"/general-ai-toolkit"},{id:"qwen",title:"Qwen 2.5 â Alibaba",description:"Alibaba's open-source AI model with strong multilingual capabilities. Useful for businesses operating in Asian markets.",category:"AI Agents",sub_category:"Open Weight Models",type:"Platform",tags:["open source","llm","multilingual","asian markets","developer","alibaba"],use_cases:["Multilingual AI for Asian markets","Cost-efficient open-weight model deployment"],business_functions:["Engineering"],pe_relevance:"Low",implementation_complexity:"High",deployment_type:"Both",open_source:!0,enterprise_ready:!1,website:"https://qwen.ai/",source_page:"/general-ai-toolkit"},{id:"together-ai",title:"Together.ai",description:"Run open-source AI models in the cloud without managing infrastructure. Good for businesses needing a private, customisable AI system.",category:"AI Agents",sub_category:"Model Hosting",type:"Platform",tags:["open source","llm","cloud","infrastructure","ai models","build ai agents"],use_cases:["Deploy open-source models without infrastructure","Customisable private AI","Cost-efficient model API"],business_functions:["Engineering"],pe_relevance:"Low",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.together.ai/",source_page:"/general-ai-toolkit"},{id:"llamaindex",title:"LlamaIndex",description:"Connect your documents and databases to an AI that can query them. Used by developers to build internal knowledge-base assistants.",category:"AI Agents",sub_category:"RAG Framework",type:"Framework",tags:["rag","ai agents","open source","document analysis","knowledge management","developer","build ai agents"],use_cases:["Build internal knowledge base AI","Connect databases to LLMs","Document Q&A systems"],business_functions:["Engineering","Research"],pe_relevance:"Medium",implementation_complexity:"High",deployment_type:"Self-hosted",open_source:!0,enterprise_ready:!0,website:"https://www.llamaindex.ai/",source_page:"/general-ai-toolkit"},{id:"pinecone",title:"Pinecone",description:"Vector database optimised for AI â stores information in a way that lets AI retrieve it accurately. Used in custom AI applications.",category:"AI Agents",sub_category:"Vector Database",type:"Platform",tags:["rag","vector database","ai agents","open source","knowledge management","developer"],use_cases:["Store and retrieve AI-optimised data","Build semantic search systems","RAG application backend"],business_functions:["Engineering"],pe_relevance:"Low",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.pinecone.io/",source_page:"/general-ai-toolkit"},{id:"glm5",title:"GLM-5 â ZhipuAI",description:"ZhipuAI's frontier open-source language model. Strong multilingual reasoning â one of the leading Chinese open-weight models.",category:"AI Agents",sub_category:"Open Weight Models",type:"GitHub",tags:["open source","llm","multilingual","reasoning","developer","chinese ai"],use_cases:["Multilingual open model for business AI","Deploy sovereign AI capabilities"],business_functions:["Engineering"],pe_relevance:"Low",implementation_complexity:"High",deployment_type:"Both",open_source:!0,enterprise_ready:!1,website:"https://github.com/zai-org/GLM-5",github:"https://github.com/zai-org/GLM-5",source_page:"/general-ai-toolkit"},{id:"minimax-m3",title:"MiniMax M3",description:"MiniMax's frontier open-weight language model with strong reasoning and long-context c
486apabilities.",category:"AI Agents",sub_category:"Open Weight Models",type:"Platform",tags:["open source","llm","reasoning","long context","developer","frontier model"],use_cases:["Long-context document processing","Open-weight frontier model deployment"],business_functions:["Engineering"],pe_relevance:"Low",implementation_complexity:"High",deployment_type:"Both",open_source:!0,enterprise_ready:!1,website:"https://www.minimax.io/models/text/m3",source_page:"/general-ai-toolkit"},{id:"predibase",title:"Predibase",description:"Platform for creating, deploying, and managing custom AI models including fine-tuned LLMs. Open-source core via LoRAX.",category:"AI Agents",sub_category:"Fine-tuning",type:"Platform",tags:["open source","fine-tuning","llm","custom model","deployment","developer"],use_cases:["Fine-tune LLMs on proprietary data","Deploy custom domain-specific models"],business_functions:["Engineering"],pe_relevance:"Low",implementation_complexity:"High",deployment_type:"Both",open_source:!0,enterprise_ready:!0,website:"https://predibase.com/",source_page:"/general-ai-toolkit"},{id:"openwa",title:"OpenWA",description:"Open-source WhatsApp automation library. Build bots, send automated messages, and integrate WhatsApp into business workflows.",category:"Workflow Automation",sub_category:"Messaging Automation",type:"GitHub",tags:["whatsapp","automation","messaging","open source","workflow automation","customer support"],use_cases:["Automate WhatsApp business messaging","Build customer communication bots","WhatsApp workflow integration"],business_functions:["Customer Service","Marketing"],pe_relevance:"Low",implementation_complexity:"Medium",deployment_type:"Self-hosted",open_source:!0,enterprise_ready:!1,website:"https://github.com/rmyndharis/OpenWA",github:"https://github.com/rmyndharis/OpenWA",source_page:"/general-ai-toolkit"},{id:"nabla",title:"Nabla",description:"AI clinical assistant for healthcare professionals â listens to patient consultations and generates structured medical notes automatically.",category:"Healthcare AI",sub_category:"Clinical Documentation",type:"Platform",tags:["healthcare","clinical","medical notes","automation","professional","vertical ai"],use_cases:["Automate clinical documentation","AI-assisted medical note generation","Healthcare workflow automation"],business_functions:["Operations"],pe_relevance:"Medium",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.nabla.com/",source_page:"/general-ai-toolkit"},{id:"amboss",title:"Amboss AI",description:"AI medical knowledge platform for clinicians â evidence-based decision support, drug references, and diagnostic guidance.",category:"Healthcare AI",sub_category:"Clinical Decision Support",type:"Platform",tags:["healthcare","clinical","medical knowledge","diagnostic","professional","vertical ai"],use_cases:["AI-assisted clinical decision support","Medical knowledge access at point of care"],business_functions:["Operations"],pe_relevance:"Medium",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.amboss.com/",source_page:"/general-ai-toolkit"},{id:"icapital",title:"iCapital",description:"Wealth technology platform enabling access to alternative investments for private banks, advisors, and institutions.",category:"Private Capital Infrastructure",sub_category:"Fund Access",type:"Platform",tags:["private equity","alternative investments","wealth management","fund access","institutional"],use_cases:["Access alternative investment funds","Automate fund subscription workflows","Digital fund distribution"],business_functions:["Investment"],pe_relevance:"High",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://icapital.com/",source_page:"/infrastructure"},{id:"cais",title:"CAIS",description:"Alternative investment marketplace connecting independent financial advisors to fund managers across private equity, hedge funds, and real assets.",category:"Private Capital Infrastructure",sub_category:"Fund Access",type:"Platform",tags:["private equity","alternative investments","marketplace","fund managers","advisors"],use_cases:["Connect advisors to alternative funds","Alternative investment distribution"],business_functions:["Investment"],pe_relevance:"High",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.caisgroup.com/",source_page:"/infrastru
486cture"},{id:"moonfare",title:"Moonfare",description:"Digital platform providing high-net-worth individuals and wealth managers access to institutional-grade private equity funds.",category:"Private Capital Infrastructure",sub_category:"Fund Access",type:"Platform",tags:["private equity","wealth management","fund access","digital","institutional"],use_cases:["Access PE funds as HNW investor","Digital PE fund subscription"],business_functions:["Investment"],pe_relevance:"High",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://www.moonfare.com/",source_page:"/infrastructure"},{id:"securitize",title:"Securitize",description:"Digital securities issuance and transfer agent platform enabling tokenization of private funds and alternative assets.",category:"Private Capital Infrastructure",sub_category:"Digital Securities",type:"Platform",tags:["tokenization","private equity","digital securities","alternative assets","blockchain"],use_cases:["Tokenize private fund interests","Digital securities issuance","Automated compliance for digital assets"],business_functions:["Investment","Legal"],pe_relevance:"Medium",implementation_complexity:"High",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://securitize.io/",source_page:"/infrastructure"},{id:"forge-global",title:"Forge Global",description:"Private securities marketplace providing price discovery, liquidity, and trading infrastructure for pre-IPO company shares.",category:"Private Capital Infrastructure",sub_category:"Secondary Markets",type:"Platform",tags:["private equity","secondary market","liquidity","pre-ipo","price discovery","trading"],use_cases:["Trade pre-IPO company shares","Price discovery for private equity","Liquidity for private holdings"],business_functions:["Investment"],pe_relevance:"High",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://forgeglobal.com/",source_page:"/infrastructure"},{id:"nasdaq-private-market",title:"Nasdaq Private Market",description:"Institutional-grade secondary trading infrastructure for private company shares, enabling structured liquidity programs.",category:"Private Capital Infrastructure",sub_category:"Secondary Markets",type:"Platform",tags:["private equity","secondary market","liquidity","institutional","nasdaq","trading"],use_cases:["Structured liquidity programs","Institutional private company trading","Secondary share programs"],business_functions:["Investment"],pe_relevance:"High",implementation_complexity:"High",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.nasdaqprivatemarket.com/",source_page:"/infrastructure"},{id:"hiive",title:"Hiive",description:"Secondary marketplace connecting buyers and sellers of private company equity with real-time price discovery.",category:"Private Capital Infrastructure",sub_category:"Secondary Markets",type:"Platform",tags:["private equity","secondary market","liquidity","price discovery"],use_cases:["Buy and sell private company equity","Real-time pricing for private shares"],business_functions:["Investment"],pe_relevance:"High",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!1,website:"https://www.hiive.com/",source_page:"/infrastructure"},{id:"addx",title:"ADDX",description:"Regulated digital exchange in Singapore for private market securities, providing fractional access to pre-IPO and alternative investments.",category:"Private Capital Infrastructure",sub_category:"Digital Exchange",type:"Platform",tags:["private equity","digital exchange","alternative investments","singapore","regulated"],use_cases:["Fractional access to PE investments","Regulated digital asset exchange"],business_functions:["Investment"],pe_relevance:"Medium",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://addx.co/",source_page:"/infrastructure"},{id:"obscura",title:"Obscura",description:"Headless browser for AI agents and web scraping. Delivers isolated browser sessions in milliseconds with MCP server mode, stealth, and proxy support.",category:"AI Agents",sub_category:"Browser Automation",type:"Open Source",tags:["headless browser","web scraping","ai agents","mcp","automation","open source","browser"],use_cases:["Web Scraping","Agent Browser Automation","Data Extraction","MCP Server"],business_functions:["Engineering","Research","Operations"],pe_relevance:"Medium",implementation_complexity:"Low",deployment_type:"Both",open_source:!0,enterprise_ready:!0,website:"https://obscura.sh/",github:"https://github.com/h4ckf0r0day/obscura",source_page:"/general-ai-toolkit"},{id:"feedzai",title:"Feedzai",description:"Real-time fraud and financial crime detection platform using ML across payments, account takeover, and AML for banks and fintechs.",category:"Financial Services AI",sub_category:"Fraud Detection",type:"Platform",tags:["fraud detection","aml","financial crime","payments","real-time","banking","fintech"],use_cases:["Fraud Detection","AML","Payment Risk Management","Account Takeover Prevention"],business_functions:["Risk","Compliance","Finance"],pe_relevance:"High",implementation_complexity:"High",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://feedzai.com/",source_page:"/general-ai-toolkit"},{id:"featurespace",title:"Featurespace",description:"Adaptive behavioural analytics engine for fraud and AML detection. Learns
486individual customer patterns to flag anomalies in real time.",category:"Financial Services AI",sub_category:"Fraud Detection",type:"Platform",tags:["fraud","aml","behavioural analytics","anomaly detection","banking","insurance"],use_cases:["Fraud Detection","AML","Behavioural Risk Scoring"],business_functions:["Risk","Compliance"],pe_relevance:"High",implementation_complexity:"High",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.featurespace.com/",source_page:"/general-ai-toolkit"},{id:"complyadvantage",title:"ComplyAdvantage",description:"AML and financial crime intelligence platform. Screens customers against sanctions, PEP lists, and adverse media in real time.",category:"Financial Services AI",sub_category:"Compliance",type:"Platform",tags:["aml","sanctions","pep","compliance","kyc","financial crime","screening"],use_cases:["AML","Sanctions Screening","KYC","Adverse Media Monitoring"],business_functions:["Compliance","Risk","Legal"],pe_relevance:"High",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://complyadvantage.com/",source_page:"/general-ai-toolkit"},{id:"chainalysis",title:"Chainalysis",description:"Blockchain analytics for AML, compliance, and financial crime investigation. Used by banks, crypto firms, and regulators.",category:"Financial Services AI",sub_category:"Compliance",type:"Platform",tags:["blockchain","crypto","aml","compliance","financial crime","investigation"],use_cases:["AML","Crypto Compliance","Financial Crime Investigation","Sanctions Screening"],business_functions:["Compliance","Risk","Legal"],pe_relevance:"Medium",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.chainalysis.com/",source_page:"/general-ai-toolkit"},{id:"ripjar",title:"Ripjar",description:"Financial crime intelligence and AML platform combining AI screening with structured and unstructured data across global sources.",category:"Financial Services AI",sub_category:"Compliance",type:"Platform",tags:["aml","financial crime","sanctions","intelligence","screening","compliance"],use_cases:["AML","Financial Crime Intelligence","Sanctions Screening"],business_functions:["Compliance","Risk"],pe_relevance:"Medium",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://ripjar.com/",source_page:"/general-ai-toolkit"},{id:"sift",title:"Sift",description:"Fraud prevention platform for payments, account integrity, and content abuse. ML-based decisioning at transaction level.",category:"Financial Services AI",sub_category:"Fraud Detection",type:"Platform",tags:["fraud","payments","account integrity","ml","decisioning","ecommerce","fintech"],use_cases:["Fraud Detection","Payment Risk Management","Account Takeover Prevention"],business_functions:["Risk","Operations","Finance"],pe_relevance:"High",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://sift.com/",source_page:"/general-ai-toolkit"},{id:"onfido",title:"Onfido",description:"AI-based identity verification and KYC. Document and biometric checks for onboarding, re-verification, and fraud prevention.",category:"Financial Services AI",sub_category:"Identity & KYC",type:"Platform",tags:["kyc","identity verification","biometrics","onboarding","fraud","compliance"],use_cases:["KYC","Identity Verification","Customer Onboarding","Fraud Prevention"],business_functions:["Compliance","Operations","Risk"],pe_relevance:"High",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://onfido.com/",source_page:"/general-ai-toolkit"},{id:"trulioo",title:"Trulioo",description:"Global identity verification and KYC platform covering 195 countries. Used by fintechs, payments companies, and regulated institutions.",category:"Financial Services AI",sub_category:"Identity & KYC",type:"Platform",tags:["kyc","identity verification","global","onboarding","compliance","fintech"],use_cases:["KYC","Identity Verification","Global Onboarding","Compliance"],business_functions:["Compliance","Operations"],pe_relevance:"High",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.trulioo.com/",source_page:"/general-ai-toolkit"},{id:"alloy",title:"Alloy",description:"Identity decisioning platform for banks and fintechs. Automates KYC, AML, and fraud checks across the full customer lifecycle.",category:"Financial Services AI",sub_category:"Identity & KYC",type:"Platform",tags:["kyc","aml","fraud","identity","decisioning","banking","fintech","onboarding"],use_cases:["KYC","AML","Fraud Detection","Identity Decisioning"],business_functions:["Compliance","Risk","Operations"],pe_relevance:"High",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.alloy.com/",source_page:"/general-ai-toolkit"},{id:"zestai",title:"Zest AI",description:"AI credit underwriting platform. Improves model performance and fairness for consumer and SME lending decisions.",category:"Financial Services AI",sub_category:"Credit & Lending",type:"Platform",tags:["credit","underwriting","lending","ml","risk scoring","banking","sme"],use_cases:["Credit Underwriting","Risk Scoring","Lending Automation"],business_functions:["Risk","Finance"],pe_relevance:"High",implementation_complexity:"High",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.zest.ai/",source_page:"/general-ai-toolkit"},{id:"actico",title:"ACTICO",description:"Decision automation platform for credit, compliance, and risk. Operationalises rules and ML models for regulated financial institutions.",category:"Financial Services AI",sub_category:"Decision Automation",type:"Platform",tags:["decision automation","credit","compliance","risk","rules engine","regulated","ml"],use_cases:["Credit Decisioning","Compliance Automation","Risk Management"],business_functions:["Risk","Compliance","Finance"],pe_relevance:"Medium",implementation_complexity:"High",deployment_type:"Both",open_source:!1,enterprise_ready:!0,website:"https://actico.com/",source_page:"/general-ai-toolkit"},{id:"modelml",title:"Model ML",description:"AI workspace and finance agent for financial institutions. Covers research, analysis, and deal workflows. Trusted by leading financial services firms. YC W2024.",category:"Financial Services AI",sub_category:"AI Workspace",type:"Platform",tags:["finance agent","financial services","ai workspace","research","deal workflow","yc","investment banking"],use_cases:["Financial Research","Deal Workflow Automation","Investment Analysis","Financial Intelligence"],business_functions:["Finance","Investment","Research","Operations"],pe_relevance:"High",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://modelml.com/",source_page:"/general-ai-toolkit"},{id:"kasisto",title:"Kasisto",description:"Conversational AI platform built for banking and financial services. Handles customer queries, account support, and financial guidance.",category:"Financial Services AI",sub_category:"Conversational AI",type:"Platform",tags:["conversational ai","banking","chatbot","customer service","virtual assistant","financial"],use_cases:["Customer Service","Conversational AI","Banking Virtual Assistant"],business_functions:["Customer Service","Operations"],pe_relevance:"Medium",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://kasisto.com/",source_page:"/general-ai-toolkit"},{id:"koreai",title:"Kore.ai",description:"Enterprise conversational AI for banking, insurance, and wealth. Deploys virtual assistants across web, mobile, and voice channels.",category:"Financial Services AI",sub_category:"Conversational AI",type:"Platform",tags:["conversational ai","virtual assistant","banking","insurance","wealth","enterprise","voice"],use_cases:["Customer Service","Conversational AI","Employee Productivity"],business_functions:["Customer Service","Operations","HR"],pe_relevance:"Medium",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://kore.ai/",source_page:"/general-ai-toolkit"},{id:"tifin",title:"TIFIN",description:"AI platform for wealth management â personalisation, client engagement, and investment intelligence for advisers and asset managers.",category:"Financial Services AI",sub_category:"Wealth Management",type:"Platform",tags:["wealth management","personalisation","investment","adviser","asset management","client engagement"],use_cases:["Wealth Management","Client Personalisation","Investment Intelligence"],business_functions:["Sales","Customer Service","Investment"],pe_relevance:"Medium",implementation_complexity:"Medium",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://tifin.com/",source_page:"/general-ai-toolkit"},{id:"zocks",title:"Zocks",description:"AI note-taking and CRM automation for wealth managers. Transcribes client meetings and extracts actionable data for advisers.",category:"Financial Services AI",sub_category:"Wealth Management",type:"Tool",tags:["wealth management","meeting notes","crm","transcription","adviser","productivity"],use_cases:["Wealth Management","Meeting Automation","CRM Automation"],business_functions:["Sales","Operations"],pe_relevance:"Medium",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.zocks.ai/",source_page:"/general-ai-toolkit"},{id:"abbyy",title:"ABBYY",description:"Intelligent document processing for financial services. Automates extraction from invoices, contracts, forms, and compliance documents.",category:"Financial Services AI",sub_category:"Document Processing",type:"Platform",tags:["document processing","ocr","extraction","invoices","contracts","compliance","automation"],use_cases:["Document Processing","Invoice Automation","Contract Extraction","Compliance Documents"],business_functions:["Finance","Operations","Compliance"],pe_relevance:"High",implementation_complexity:"Medium",deployment_type:"Both",open_source:!1,enterprise_ready:!0,website:"https://www.abbyy.com/",source_page:"/general-ai-toolkit"},{id:"hyperscience",title:"Hyperscience",description:"Enterprise document automation platform. Processes high-volume financial and insurance documents with ML-based extraction and validation.",category:"Financial Services AI",sub_category:"Document Processing",type:"Platform",tags:["document automation","ml","extraction","insurance","banking","high-volume","back-office"],use_cases:["Document Processing","Back-office Automation","Claims Processing"],business_functions:["Operations","Finance","Compliance"],pe_relevance:"High",implementation_complexity:"High",deployment_type:"Both",open_source:!1,enterprise_ready:!0,website:"https://hyperscience.com/",source_page:"/general-ai-toolkit"},{id:"nanonets",title:"Nanonets",description:"AI document extraction and workflow automation. Handles invoices, bank statements, and financial forms with minimal setup.",category:"Financial Services AI",sub_category:"Document Processing",type:"Tool",tags:["document extraction","invoices","bank statements","automation","ocr","workflow"],use_cases:["Document Processing","Invoice Automation","Financial Form Extraction"],business_functions:["Finance","Operations"],pe_relevance:"High",implementation_complexity:"Low",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://nanonets.com/",source_page:"/general-ai-toolkit"},{id:"collibra",title:"Collibra",description:"Data governance and intelligence platform. Manages data quality, lineage, and cataloguing for regulated financial institutions.",category:"Financial Services AI",sub_category:"Data Governance",type:"Platform",tags:["data governance","data quality","lineage","catalogue","compliance","regulated","enterprise"],use_cases:["Data Governance","Data Quality Management","Regulatory Reporting"],business_functions:["Compliance","Data","Risk"],pe_relevance:"Medium",implementation_complexity:"High",deployment_type:"Both",open_source:!1,enterprise_ready:!0,website:"https://www.collibra.com/",source_page:"/general-ai-toolkit"},{id:"kensho",title:"Kensho",description:"AI analytics and NLP for financial intelligence. Used by investment banks and data providers for event analytics and structured data extraction.",category:"Financial Services AI",sub_category:"Financial Analysis",type:"Platform",tags:["financial analytics","nlp","investment banking","data extraction","market intelligence"],use_cases:["Financial Analysis","Market Intelligence","Data
486Extraction","Investment Research"],business_functions:["Research","Investment","Data"],pe_relevance:"High",implementation_complexity:"High",deployment_type:"Cloud",open_source:!1,enterprise_ready:!0,website:"https://www.kensho.com/",source_page:"/general-ai-toolkit"},{id:"numerai",title:"Numerai",description:"Crowd-sourced AI hedge fund platform. 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Strong multilingual support â well-suited for European deployments.",url:"https://mistral.ai/",testId:"g-mistral"},{name:"DeepSeek",description:"Powerful open-source AI model from China. Handles long documents and images. Free alternative to GPT for high-volume or private use.",url:"https://github.com/deepseek-ai/DeepSeek-V2",testId:"g-deepseek"},{name:"Qwen 2.5 â Alibaba",description:"Alibaba's open-source AI model with strong multilingual capabilities. Useful for businesses operating in Asian markets.",url:"https://qwen.ai/",testId:"g-qwen"},{name:"Qwen3.8-Max",description:"Alibaba's 2.4T parameter frontier model, focused on coding and professional office tasks. Available via the Qwen AI platform API.",url:"https://qwen.ai/blog?id=qwen3.8",testId:"g-qwen38"},{name:"Together.ai",description:"Run open-source AI models in the cloud without managing infrastru
486cture. Good option for businesses needing a private, customisable AI system.",url:"https://www.together.ai/",testId:"g-togetherai"},{name:"BigScience â BLOOM",description:"Open-source multilingual AI model developed by a global research community. Free to use and fully transparent.",url:"https://bigscience.huggingface.co/",testId:"g-bigscience"},{name:"EleutherAI",description:"Non-profit research group building and releasing open-source AI models freely available to everyone.",url:"https://github.com/EleutherAI",testId:"g-eleutherai"},{name:"Fugu â Sakana AI",description:"Open-source Japanese LLM from Sakana AI. Built on evolutionary model merging â a research-grade frontier model from one of Japan's leading AI labs.",url:"https://sakana.ai/fugu/",testId:"g-sakana-fugu"},{name:"CrewAI",description:"Build systems where multiple AI agents work together on a task â one researches, one writes, one reviews. For technically capable teams.",url:"https://www.crewai.com/",testId:"g-crewai"},{name:"LangChain",description:"Developer framework for building AI applications that connect to your data sources, memory, and tools. Requires programming knowledge.",url:"https://www.langchain.com/",testId:"g-langchain"},{name:"LlamaIndex",description:"Connect your documents and databases to an AI that can query them. Used by developers to build internal knowledge-base assistants.",url:"https://www.llamaindex.ai/",testId:"g-llamaindex"},{name:"Pinecone",description:"Database optimised for AI â stores information in a way that lets AI retrieve it accurately. Used in custom AI applications.",url:"https://www.pinecone.io/",testId:"g-pinecone"},{name:"H2O.ai",description:"Open-source platform for building and monitoring AI models. Free to use â suitable for data teams with technical resources.",url:"https://h2o.ai/",testId:"g-h2o"},{name:"PyTorch",description:"Meta's open-source framework for building and training AI models. The most widely used tool in AI research worldwide.",url:"https://pytorch.org/",testId:"g-pytorch"},{name:"TensorFlow",description:"Google's open-source AI development framework. Used by engineers and data scientists to build and deploy AI models at scale.",url:"https://www.tensorflow.org/",testId:"g-tensorflow"},{name:"ClearML",description:"Open-source platform for tracking, comparing, and automating AI model training. Used by ML engineering teams.",url:"https://github.com/allegroai/clearml",testId:"g-clearml"},{name:"ZenML",description:"Open-source framework for packaging AI workflows so they can be moved between environments (local, cloud, production).",url:"https://github.com/zenml-io/zenml",testId:"g-zenml"},{name:"Common Crawl",description:"A massive, free archive of web pages used to train large language models. Public dataset for AI researchers.",url:"https://github.com/commoncrawl",testId:"g-commoncrawl"},{name:"LAION",description:"Large-scale open dataset of image-text pairs used to train AI image models. Key resource for multimodal AI research.",url:"https://github.com/LAION-AI",testId:"g-laion"},{name:"Origin Pilot â Origin Quantum",description:"Cloud platform for quantum computing â access real quantum hardware and simulators. Frontier technology for research teams.",url:"https://originqc.com/",testId:"g-originpilot"},{name:"Qiskit â IBM Quantum",description:"IBM's open-source toolkit for quantum computing. Write and run programs on IBM's quantum computers.",url:"https://www.ibm.com/quantum/qiskit",testId:"g-qiskit"},{name:"Cirq â Google Quantum AI",description:"Google's open-source framework for building and running quantum circuits on Google's quantum hardware.",url:"https://quantumai.google/cirq",testId:"g-cirq"},{name:"Predibase",description:"Platform for creating, deploying, and managing custom AI models including fine-tuned LLMs. Open-source core via LoRAX on GitHub.",url:"https://predibase.com/",testId:"g-predibase"},{name:"Flyte",description:"Open-source workflow orchestrator for machine learning and data processing. Scales ML pipelines from prototype to production.",url:"https://flyte.org/",testId:"g-flyte"},{name:"GLM-5 â ZhipuAI",description:"ZhipuAI's latest open-source frontier language model. Strong multilingual reasoning with broad task coverage â one of the leading Chinese open-weight models.",url:"https://github.com/zai-org/GLM-5",testId:"g-glm5"},{name:"MiniMax M3",description:"MiniMax's frontier language model with strong reasoning and long-context c
486apabilities. Open-weight model from one of China's leading AI labs.",url:"https://www.minimax.io/models/text/m3",testId:"g-minimaxm3"},{name:"DiffusionGemma â Google DeepMind",description:"Google DeepMind's experimental diffusion-based language model. A departure from transformer-only architectures â research-grade frontier model.",url:"https://deepmind.google/models/gemma/diffusiongemma/",testId:"g-diffusiongemma"},{name:"Gemma 4 â Google DeepMind",description:"Google DeepMind's latest generation of the Gemma open-weight model family. Efficient, deployable, and available for research and commercial use.",url:"https://deepmind.google/models/gemma/gemma-4/",testId:"g-gemma4"},{name:"OpenWA",description:"Open-source WhatsApp automation library. Build bots, send automated messages, and integrate WhatsApp into business workflows â without the official API.",url:"https://github.com/rmyndharis/OpenWA",testId:"g-openwa"},{name:"OpenMontage",description:"Open-source AI video montage tool. Automates the assembly of video clips into structured, edited sequences â useful for content and media workflows.",url:"https://github.com/calesthio/OpenMontage",testId:"g-openmontage"},{name:"Karpathy â LLM Training Guide",description:"Andrej Karpathy's annotated guide to training large language models from scratch. Essential reference for anyone building or evaluating AI systems.",url:"https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f",testId:"g-karpathy"},{name:"OpenAI Research",description:"OpenAI's public research publications covering ML advances, AI alignment, and safety. Reference for staying current on frontier AI.",url:"https://openai.com/research",testId:"g-openairesearch"}],X5=[{name:"Feedzai",description:"Real-time fraud and financial crime detection using ML. Covers payment fraud, account takeover, and AML for banks and fintechs.",url:"https://feedzai.com/",testId:"fs-feedzai"},{name:"Featurespace",description:"Adaptive behavioural analytics for fraud and AML detection. Learns individual customer patterns to flag anomalies in real time.",url:"https://www.featurespace.com/",testId:"fs-featurespace"},{name:"ComplyAdvantage",description:"AML and financial crime intelligence platform. Screens customers against sanctions, PEP lists, and adverse media automatically.",url:"https://complyadvantage.com/",testId:"fs-complyadvantage"},{name:"Chainalysis",description:"Blockchain analytics for AML, compliance, and financial crime investigation. Used by banks, crypto firms, and regulators.",url:"https://www.chainalysis.com/",testId:"fs-chainalysis"},{name:"Ripjar",description:"Financial crime intelligence and AML platform combining AI screening with structured and unstructured data across global sources.",url:"https://ripjar.com/",testId:"fs-ripjar"},{name:"Sift",description:"Fraud prevention platform for payments, account integrity, and content abuse. ML-based decisioning at transaction level.",url:"https://sift.com/",testId:"fs-sift"},{name:"Onfido",description:"AI-based identity verification and KYC. Document and biometric checks for onboarding, re-verification, and fraud prevention.",url:"https://onfido.com/",testId:"fs-onfido"},{name:"Trulioo",description:"Global identity verification and KYC platform. Covers 195 countries â used by fintechs, payments companies, and regulated institutions.",url:"https://www.trulioo.com/",testId:"fs-trulioo"},{name:"Alloy",description:"Identity decisioning platform for banks and fintechs â automates KYC, AML, and fraud checks across the customer lifecycle.",url:"https://www.alloy.com/",testId:"fs-alloy"},{name:"Zest AI",description:"AI credit underwriting platform. Improves model performance and fairness for consumer and SME lending decisions.",url:"https://www.zest.ai/",testId:"fs-zestai"},{name:"ACTICO",description:"Decision automation platform for credit, compliance, and risk. Used by regulated financial institutions to operationalise rules and ML models.",url:"https://actico.com/",testId:"fs-actico"},{name:"Model ML",description:"AI workspace and finance agent for financial institutions. Covers research, analysis, and deal workflows â trusted by leading financial services firms. YC W2024.",url:"https://modelml.com/",testId:"fs-modelml"},{name:"Kasisto",description:"Conversational AI platform built for banking and financial services. Handles customer queries, account support, and financial guidance.",url:"https://kasisto.com/",testId:"fs-kasisto"},{name:"Kore.ai",description:"Enterprise conversational AI for banking, insurance, and wealth. Deploys virtual assistants across web, mobile, and voice channels.",url:"https://kore.ai/",testId:"fs-koreai"},{name:"TIFIN",description:"AI platform for wealth management â personalisation, client engagement, and investment intelligence for advisers and asset managers.",url:"https://tifin.com/",testId:"fs-tifin"},{name:"Zocks",description:"AI note-taking and CRM automation for wealth managers. Transcribes client meetings and extracts actionable data for advisers.",url:"https://www.zocks.ai/",testId:"fs-zocks"},{name:"ABBYY",description:"Intelligent document processing for financial services â automates extraction from invoices, contracts, forms, and compliance documents.",url:"https://www.abbyy.com/",testId:"fs-abbyy"},{name:"Hyperscience",description:"Enterprise document automation platform. Processes high-volume financial and insurance documents with ML-based extraction and validation.",url:"https://hyperscience.com/",testId:"fs-hyperscience"},{name:"Nanonets",description:"AI document extraction and workflow automation. Handles invoices, bank statements, and financial forms with minimal setup.",url:"https://nanonets.com/",testId:"fs-nanonets"},{name:"Collibra",description:"Data governance and intelligence platform. Manages data quality, lineage, and cataloguing for regulated financial institutions.",url:"https://www.collibra.com/",testId:"fs-collibra"},{name:"Kensho",description:"AI analytics and NLP platform for financial intelligence, used by investment banks and data providers for event analytics and data extraction.",url:"https://www.kensho.com/",testId:"fs-kensho"},{name:"Numerai",description:"Crowd-sourced AI hedge fund platform. Data scientists submit ML models to predict financial markets â relevant for quant and alternative data strategies.",url:"https://numer.ai/",testId:"fs-numerai"},{name:"Dynamic Yield",description:"AI personalisation platform for financial services and retail. Delivers segment-level and individual customer experiences across digital channels.",url:"https://www.dynamicyield.com/",testId:"fs-dynamicyield"},{name:"Braze",description:"Customer engagement platform with AI-powered personalisation across email, push, SMS, and in-app channels. Used by fintechs and financial brands.",url:"https://www.braze.com/",testId:"fs-braze"},{name:"Twilio",description:"Cloud communications platform for SMS, voice, email, and messaging APIs. Used to build automated customer contact and verification workflows.",url:"https://www.twilio.com/",testId:"fs-twilio"},{name:"Darktrace",description:"AI cybersecurity platform using unsupervised ML to detect and respond to novel threats in real time. Used by financial institutions.",url:"https://darktrace.com/",testId:"fs-darktrace"},{name:"CrowdStrike",description:"Cloud-native endpoint security and threat intelligence platform. Standard for financial services cyber risk management and incident response.",url:"https://www.crowdstrike.com/",testId:"fs-crowdstrike"},{name:"Persefoni",description:"AI-powered carbon management and ESG reporting platform for financial institutions and their portfolio companies.",url:"https://www.persefoni.com/",testId:"fs-persefoni"}],Z5=[{name:"Mikeoss",description:"AI legal assistant for lawyers â contract review, legal research, document drafting, and case analysis.",url:"https://mikeoss.com/",testId:"g-mikeoss"},{name:"Lexroom",description:"AI partner for lawyers that combines legal research with data analysis to improve accuracy, speed, and professional judgment.",url:"https://www.lexroom.ai/en",testId:"g-lexroom"},{name:"Query Juriste",description:"French legal AI for sourced legal research and structured reasoning, with EU-hosted infrastru
486cture for law firms and in-house teams.",url:"https://www.query-juriste.com/",testId:"g-query-juriste"},{name:"Praven Intelekt",description:"Bulgarian legal AI for sourced research, document analysis, and drafting based on current Bulgarian legislation and case law.",url:"https://www.pravenintelekt.com/",testId:"g-praven-intelekt"},{name:"Harvey AI",description:"AI platform built for law firms and legal teams â contract analysis, due diligence, legal research, and regulatory review at scale.",url:"https://www.harvey.ai/",testId:"g-harvey"},{name:"Casetext",description:"Legal research AI acquired by Thomson Reuters. Finds relevant case law, statutes, and legal documents faster than traditional search.",url:"https://casetext.com/",testId:"g-casetext"},{name:"Lexis+ AI",description:"LexisNexis AI assistant for legal professionals â case research, contract drafting, and document summarisation with citation tracking.",url:"https://www.lexisnexis.com/en-us/products/lexis-plus-ai.page",testId:"g-lexis"},{name:"Domo AI",description:"AI-powered business intelligence platform with natural language querying. Connects to hundreds of data sources for real-time dashboards and forecasting.",url:"https://www.domo.com/ai",testId:"g-domo"},{name:"Workiva AI",description:"AI for financial reporting, ESG disclosure, and audit workflows. Used by CFOs and compliance teams managing multi-entity reporting.",url:"https://www.workiva.com/solutions/artificial-intelligence",testId:"g-workiva"},{name:"Nabla",description:"AI clinical assistant for healthcare professionals â listens to patient consultations and generates structured medical notes automatically.",url:"https://www.nabla.com/",testId:"g-nabla"},{name:"Amboss AI",description:"AI medical knowledge platform for clinicians â evidence-based decision support, drug references, and diagnostic guidance at the point of care.",url:"https://www.amboss.com/",testId:"g-amboss"}],J5=[{name:"OpenAI GPT API",url:"https://platform.openai.com/",description:"OpenAI's API for GPT-4o and o-series models â the most widely adopted LLM API for production applications.",testId:"llm-openai"},{name:"Anthropic Claude API",url:"https://www.anthropic.com/api",description:"Claude's API â strong at long-context reasoning, structured output, and safe agentic tasks.",testId:"llm-claude"},{name:"Google Gemini API",url:"https://ai.google.dev/",description:"Gemini 2.5 Pro/Flash API â multimodal, long context, integrated with Google Cloud ecosystem.",testId:"llm-gemini"},{name:"Meta Llama",url:"https://llama.meta.com/",description:"Meta's open-weight LLM family â deployable on-premise or via cloud providers with no usage fees.",testId:"llm-llama"},{name:"Mistral AI",url:"https://mistral.ai/",description:"High-performance European LLMs â available via API or self-hosted. Strong multilingual and instruction-following capability.",testId:"llm-mistral"},{name:"Cohere",url:"https://cohere.com/",description:"Enterprise LLM platform focused on RAG, embeddings, and private deployment for regulated industries.",testId:"llm-cohere"},{name:"Hugging Face",url:"https://huggingface.co/",description:"Hub for open-source models, datasets, and inference APIs â the default repository for the ML community.",testId:"llm-hf"},{name:"Ollama",url:"https://ollama.ai/",description:"Run LLMs locally on Mac, Linux, or Windows with a single command. Supports Llama, Mistral, Gemma, and more.",testId:"llm-ollama"},{name:"vLLM",url:"https://docs.vllm.ai/",description:"High-throughput inference engine for LLMs â optimised for production serving with PagedAttention architecture.",testId:"llm-vllm"}],eR=[{name:"LangGraph",url:"https://langchain-ai.github.io/langgraph/",description:"Graph-based framework for building stateful, multi-step AI agents with cycles and branching â built on LangChain.",testId:"ag-langgraph"},{name:"CrewAI",url:"https://www.crewai.com/",description:"Multi-agent framework for building role-based AI teams â agents collaborate, delegate, and complete complex workflows.",testId:"ag-crewai"},{name:"Microsoft AutoGen",url:"https://microsoft.github.io/autogen/",description:"Multi-agent conversation framework from Microsoft Research â agents interact autonomously to
486solve tasks.",testId:"ag-autogen"},{name:"Microsoft Agent Framework",url:"https://github.com/microsoft/agent-framework",description:"Microsoft's modular framework for building production-grade AI agent systems with enterprise patterns.",testId:"ag-msagent"},{name:"LlamaIndex Workflows",url:"https://docs.llamaindex.ai/en/stable/understanding/workflows/",description:"Event-driven workflow orchestration within LlamaIndex â build multi-step agentic pipelines over your data.",testId:"ag-llamawf"},{name:"AWS Strands Agents",url:"https://strandsagents.com/",description:"AWS SDK for building AI agents with tool use, memory, and multi-agent coordination on AWS infrastructure.",testId:"ag-strands"},{name:"CAMEL",url:"https://www.camel-ai.org/",description:"Communicative Agents framework â role-playing agents that collaborate through structured conversation.",testId:"ag-camel"},{name:"Agno",url:"https://www.agno.com/",description:"Full-stack platform for building, testing, and monitoring production AI agents with a unified developer experience.",testId:"ag-agno"}],tR=[{name:"LangChain",url:"https://www.langchain.com/",description:"Composable framework for building LLM applications â chains, retrievers, agents, and integrations with 100+ data sources.",testId:"rag-langchain"},{name:"LlamaIndex",url:"https://www.llamaindex.ai/",description:"Data framework for LLM applications â index, retrieve, and query structured and unstructured data.",testId:"rag-llamaindex"},{name:"Haystack",url:"https://haystack.deepset.ai/",description:"Open-source AI pipeline framework by deepset â build RAG, question answering, and search systems.",testId:"rag-haystack"},{name:"DSPy",url:"https://dspy-docs.vercel.app/",description:"Stanford framework for programmatic LLM pipeline optimisation â replaces hand-crafted prompts with learnable modules.",testId:"rag-dspy"},{name:"RAGFlow",url:"https://ragflow.io/",description:"Open-source RAG engine with deep document understanding â handles PDFs, tables, and mixed-format content accurately.",testId:"rag-ragflow"},{name:"GraphRAG",url:"https://microsoft.github.io/graphrag/",description:"Microsoft's graph-based RAG â builds knowledge graphs from documents for richer, more connected retrieval.",testId:"rag-graphrag"},{name:"Unstructured",url:"https://unstructured.io/",description:"Pipeline for extracting and preprocessing content from PDFs, Word, HTML, and other unstructured formats for LLM ingestion.",testId:"rag-unstructured"},{name:"EmbedChain",url:"https://github.com/embedchain/embedchain",description:"Open-source RAG framework â build chatbots over any data source in minutes with minimal configuration.",testId:"rag-embedchain"}],nR=[{name:"OpenAI Embeddings",url:"https://platform.openai.com/docs/guides/embeddings",description:"text-embedding-3 models â high-quality dense embeddings for semantic search and RAG applications.",testId:"emb-openai"},{name:"Cohere Embed",url:"https://cohere.com/embeddings",description:"Multilingual embedding models optimised for retrieval â strong cross-lingual semantic search capability.",testId:"emb-cohere"},{name:"Voyage AI",url:"https://www.voyageai.com/",description:"State-of-the-art embedding models â top performance on retrieval benchmarks, used by Anthropic partners.",testId:"emb-voyage"},{name:"Sentence Transformers",url:"https://www.sbert.net/",description:"Open-source Python library for sentence and text embeddings â widely used for semantic similarity and retrieval.",testId:"emb-sbert"},{name:"BGE (BAAI)",url:"https://huggingface.co/BAAI/bge-large-en",description:"BAAI General Embedding â high-quality open-source embeddings from Beijing Academy of AI, competitive with commercial models.",testId:"emb-bge"},{name:"Google Vertex AI Embeddings",url:"https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings",description:"Google's text embedding models via Vertex AI â integrates with Google Cloud storage and search infrastructure.",testId:"emb-vertex"},{name:"Azure OpenAI Embeddings",url:"https://learn.microsoft.com/en-us
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486cR];for(const e of OK.flat())e.audience??(e.audience="portfolio-company"),e.stackType??(e.stackType="value-creation");for(const e of MK.flat())e.audience??(e.audience="technical"),e.stackType??(e.stackType="developer");const RK=[{title:"Business Idea Validation",prompt:"Evaluate the idea of launching [BUSINESS IDEA]. Provide market potential analysis, target audience definition, competitive landscape, key risks, and expansion possibilities. Include a go/no-go recommendation with supporting rationale.",tip:"Validate business ideas before significant investment."},{title:"Business Plan Creation",prompt:"Adopt the role of an expert business strategist. Create a comprehensive business plan covering: 1) Executive summary with mission and objectives, 2) Market analysis with competitors and trends, 3) Marketing and sales strategies, 4) Financial projections with income statements and break-even analysis, 5) Action plan with milestones. My business type: [TYPE], target market: [MARKET], unique value proposition: [USP], initial investment: [AMOUNT].",tip:"Generate a complete business plan structure in minutes."},{title:"Market Research",prompt:"Conduct a comprehensive competitive analysis of the top 5 companies in [YOUR INDUSTRY]. Include pricing models, features, customer reviews, and distinctive selling points. Identify gaps and opportunities for differentiation.",tip:"Understand your competitive landscape deeply."},{title:"SWOT Analysis",prompt:"Conduct a detailed SWOT analysis for [COMPANY/PRODUCT]. For each quadrant, provide at least 5 specific points with evidence. Then develop 3 strategic recommendations that: 1) Leverage strengths to capture opportunities, 2) Address weaknesses before they become threats, 3) Create competitive advantage.",tip:"Analyze your competitive position with structured SWOT frameworks."},{title:"Go-to-Market Strategy",prompt:"Develop a go-to-market strategy for launching [PRODUCT] to [TARGET MARKET]. Cover: 1) Market positioning and messaging, 2) Distribution channels and partners, 3) Customer acquisition tactics, 4) Launch timeline and milestones, 5) Success metrics and KPIs. Provide a phased approach with specific action items.",tip:"Plan your market entry with a structured GTM framework."},{title:"Market Expansion Strategy",prompt:"Act like a business development manager and outline a strategy for expanding into [NEW MARKET]. Include: 1) Target regions and customer segments, 2) Market entry tactics (organic, partnership, acquisition), 3) Competitive analysis and positioning, 4) Resource requirements and timeline, 5) Risk asse
486ssment and mitigation.",tip:"Plan geographic or segment expansion strategically."},{title:"Competitor Benchmarking",prompt:"Evaluate [TOOL/COMPANY A] vs [TOOL/COMPANY B] vs [TOOL/COMPANY C] across pricing, features, integrations, customer reviews, and long-term scalability. Provide a recommendation based on [SPECIFIC USE CASE].",tip:"Compare options systematically for better decisions."},{title:"Pricing Strategy",prompt:"Analyze the ideal pricing strategy for [PRODUCT/SERVICE]. Consider: 1) Value-based pricing models, 2) Competitor pricing analysis, 3) Customer willingness to pay research, 4) Tiered pricing structures, 5) Discount and promotion strategies. Recommend a pricing framework with rationale.",tip:"Set prices that maximize revenue and customer value."},{title:"KPI Dashboard Blueprint",prompt:"List the 7 most important KPIs for a [BUSINESS TYPE] to track. Organize across: 1) Customer acquisition metrics, 2) Retention and engagement indicators, 3) Product usage and adoption rates, 4) Financial health measures (MRR, CAC, LTV). Include target ranges and measurement frequency for each KPI.",tip:"Define the metrics that matter for executive decision-making."},{title:"Growth Levers Analysis",prompt:"Identify 5 scalable growth levers for a [TYPE OF BUSINESS], focusing on revenue expansion, operational leverage, and brand amplification. For each lever, explain implementation approach and expected impact.",tip:"Discover untapped growth opportunities systematically."},{title:"Industry Reports Summary",prompt:"Extract the key takeaways from [REPORT NAME OR SOURCE] on [TOPIC]. Emphasize statistics, challenges, opportunities, and actionable recommendations for [AUDIENCE]. Format for executive briefing.",tip:"Distill lengthy reports into actionable insights."},{title:"Case Studies Research",prompt:"Share 3 real-world case studies of how companies in [INDUSTRY] effectively used [TECHNOLOGY/STRATEGY] to accomplish [SPECIFIC GOAL]. Include measurable results, implementation approach, and lessons learned.",tip:"Learn from proven success stories in your industry."},{title:"Negotiation Tactics",prompt:"Act like a negotiations expert and prepare negotiation tactics for [DEAL]. Include key points, desired outcomes, and potential compromises to achieve the best results for [COMPANY] while maintaining positive relationships.",tip:"Prepare negotiation strategies for win-win outcomes."},{title:"Partnership Proposal",prompt:"Act like a business development manager and write a partnership proposal for [POTENTIAL PARTNER]. Include mutual benefits, partnership structure, and expected outcomes to establish a strong foundation for collaboration and growth of [PARTNERSHIP GOAL].",tip:"Structure partnership proposals that attract collaborators."},{title:"Innovation Workshop Agenda",prompt:"Act like an innovation consultant and design an agenda for [WORKSHOP]. Include key topics, activities, and desired outcomes to foster creativity and drive innovation within [TEAM/ORGANIZATION].",tip:"Facilitate productive innovation sessions."},{title:"Expense Reduction Plan",prompt:"Act like a financial consultant and develop a plan to reduce expenses for [COMPANY]. Include cost-cutting measures, efficiency improvements, and monitoring processes to optimize budget and increase profitability.",tip:"Identify and implement cost reduction opportunities."},{title:"Crisis Management Plan",prompt:"Act like a crisis management expert and develop a crisis management plan for [POTENTIAL ISSUE]. Include: 1) Response protocols and decision trees, 2) Communication strategies for stakeholders, 3) Key contacts and escalation paths, 4) Media handling guidelines, 5) Recovery and reputation repair steps.",tip:"Prepare for unexpected challenges with structured crisis protocols."},{title:"Internal Audit Plan",prompt:"Act like an internal auditor and develop a plan for [DEPARTMENT/COMPANY]. Include audit objectives, scope, methodology, and timeline to ensure compliance and identify areas for operational improvement.",tip:"Structure internal audits for compliance and improvement."},{title:"Vendor Evaluation Matrix",prompt:"Act like a procurement manager and create a vendor evaluation matrix for [SERVICE/PRODUCT]. Include: 1) Evaluation criteria (price, quality, reliability, support), 2) Weighted scoring system, 3) Vendor comparison table, 4) Risk asse
486ssment per vendor, 5) Recommendation with rationale.",tip:"Select vendors with objective, structured evaluation."},{title:"Product Roadmap",prompt:"Act like a product manager and create a strategic product roadmap for [PRODUCT]. Include: 1) Current state and vision, 2) Key milestones and deliverables by quarter, 3) Technical requirements and dependencies, 4) Resource allocation and team responsibilities, 5) Success metrics and validation criteria. Cover the next [TIMEFRAME].",tip:"Plan product evolution with strategic roadmaps."},{title:"Product Feature Prioritization",prompt:"Act like a product manager and prioritize a list of 10 features for [PRODUCT]. Use the RICE scoring model (Reach, Impact, Confidence, Effort) to evaluate each feature and provide a recommendation for the next sprint or release.",tip:"Prioritize product features with data-driven frameworks."},{title:"Product Launch Checklist",prompt:"Act like a product launch manager and create a launch checklist for [PRODUCT]. Include key tasks, deadlines, and responsible parties to ensure seamless coordination and successful launches for maximum market impact.",tip:"Launch products with comprehensive planning."}],LK=[{title:"Blog Post Ideas",prompt:"Act like a content strategist and generate 10 blog post ideas for [INDUSTRY/NICHE]. Include catchy titles, key points to cover, and potential call-to-actions to engage [TARGET AUDIENCE] and drive [BUSINESS GOAL].",tip:"Generate blog content ideas that drive traffic."},{title:"Content Ideas Generator",prompt:"Create 10 LinkedIn content ideas about [YOUR NICHE/TOPIC] that will engage [TARGET AUDIENCE]. Suggest formats like infographics, carousels, posts, and thought-leadership insights. Include hooks and call-to-actions for each.",tip:"Generate engaging content ideas at scale."},{title:"Monthly Content Calendar",prompt:"Act like a content manager and create a content calendar for [MONTH] for [BRAND]. Include various post types, seasonal themes, and important dates to maintain consistent engagement with [AUDIENCE] across [PLATFORMS].",tip:"Plan monthly content for consistent publishing."},{title:"Marketing Campaign Plan",prompt:"Act like a marketing strategist and draft a comprehensive campaign plan for [PRODUCT/SERVICE]. Include target audience, key messages, channels, and metrics to measure success and drive engagement towards [MARKETING GOAL].",tip:"Plan marketing campaigns with clear objectives and metrics."},{title:"Annual Marketing Budget",prompt:"Act like a marketing manager and prepare an annual budget for [MARKETING DEPARTMENT]. Include key campaigns, estimated costs, and ROI projections to allocate resources effectively and support [MARKETING GOALS].",tip:"Plan marketing spend for maximum ROI."},{title:"Email Follow-Up Template",prompt:"Act like a sales manager and craft an email follow-up template for [CLIENT/LEAD]. Include a personalized greeting, a summary of the previous conversation, and a clear call to action to maintain engagement and progress towards [DESIRED OUTCOME].",tip:"Structure follow-ups that keep deals moving forward."},{title:"Email Subject Lines",prompt:"Act like an email copywriter and write 10 different subject lines for [EMAIL TYPE/CAMPAIGN]. Include emotional, urgency, and curiosity variations to maximize open rates with [TARGET AUDIENCE].",tip:"Craft subject lines that boost email open rates."},{title:"Social Media Strategy",prompt:"Act like a social media strategist and create a strategy for [BRAND] on [PLATFORMS]. Include: 1) Audience analysis and personas, 2) Content pillars and themes, 3) Posting frequency and optimal times, 4) Engagement tactics and community building, 5) KPIs and measurement framework.",tip:"Build social media presence with a strategic approach."},{title:"Personal Brand Positioning",prompt:"Act like a personal branding strategist and help [PERSON] develop a compelling personal brand. Include: 1) Core value proposition and unique expertise, 2) Key themes and messaging pillars, 3) Platform strategy (LinkedIn, Twitter, speaking), 4) Content plan to build authority, 5) Networking and visibility opportunities.",tip:"Build a personal brand that attracts opportunities."},{title:"Sales Pitch Script",prompt:"Act like a sales strategist and draft a sales pitch script for [PRODUCT/SERVICE]. Include: 1) Opening hook to capture attention, 2) Key value propositions and differentiators, 3) Common objection handling, 4) Social proof and case study references, 5) Clear call-to-action. Target audience: [AUDIENCE]. Desired outcome: [OUTCOME].",tip:"
486Craft sales pitches that convert prospects into customers."}],FK=[{title:"Churn Reduction Strategy",prompt:"Recommend 3 evidence-based strategies to reduce churn for a SaaS product serving [TARGET CUSTOMER]. Use customer behavior patterns, feedback loops, and early warning indicators. Include implementation roadmap and expected impact on retention.",tip:"Reduce customer churn with data-driven strategies."},{title:"Client Onboarding Checklist",prompt:"Act like a customer success manager and create an onboarding checklist for [NEW CLIENT/CUSTOMER]. Include essential steps, necessary documents, and key contacts to ensure a seamless onboarding process and a positive start to [CLIENT RELATIONSHIP].",tip:"Ensure smooth client onboarding with structured checklists."},{title:"Client Retention Strategy",prompt:"Act like a client success manager and outline a retention strategy for [KEY CLIENTS]. Include: 1) Engagement tactics and touchpoint cadence, 2) Personalized communication approaches, 3) Value-add services to deepen relationships, 4) Early churn indicators and intervention triggers.",tip:"Reduce churn and strengthen key client relationships."},{title:"Customer Engagement Plan",prompt:"Act like a customer relationship manager and create an engagement plan for [AUDIENCE]. Include interaction tactics, communication channels, and personalized content to strengthen relationships and enhance loyalty for [BRAND].",tip:"Deepen customer relationships with strategic engagement."},{title:"Customer Feedback Survey",prompt:"Act like a customer experience specialist and design a feedback survey for [PRODUCT/SERVICE]. Include key questions, response options, and a thank-you note to gather valuable insights and improve [CUSTOMER SATISFACTION].",tip:"Collect actionable customer feedback systematically."},{title:"Customer Insights",prompt:"Review customer feedback and forum discussions to identify the most frequent complaints, requests, and positive feedback regarding [PRODUCT/SERVICE]. Synthesize into actionable insights for product and service improvement.",tip:"Extract actionable insights from customer voice."},{title:"Customer Journey Mapping",prompt:"Act like a customer experience designer and map the customer journey for [PRODUCT/SERVICE]. Include touchpoints, pain points, and improvement opportunities to enhance overall experience and satisfaction for [TARGET CUSTOMERS].",tip:"Understand and improve every customer touchpoint."},{title:"Customer Retention Plan",prompt:"Act like a customer loyalty manager and design a retention plan for [EXISTING CUSTOMERS]. Include engagement tactics, loyalty programs, and feedback mechanisms to enhance customer loyalty and reduce churn for [BUSINESS].",tip:"Build loyalty programs that reduce customer churn."}],BK=[{title:"30-60-90 Day Performance Plan",prompt:"Create a 30-60-90 day performance plan for a new [ROLE] joining [COMPANY]. Include: 1) First 30 days: onboarding, learning, and relationship building, 2) Days 31-60: initial contributions and quick wins, 3) Days 61-90: measurable impact and strategic initiatives, 4) KPIs for each phase. Ensure alignment with company objectives.",tip:"Structure executive onboarding for rapid impact."},{title:"Performance Review Template",prompt:"Act like an HR manager and design a performance review template for [EMPLOYEE/TEAM]. Include performance criteria, rating scales, and feedback guidelines to evaluate and develop talent in [ORGANIZATION].",tip:"Standardize performance reviews for fair evaluation."},{title:"Employee Motivation Plan",prompt:"Act like a human resources manager and create a motivation plan for [TEAM/DEPARTMENT]. Include recognition programs, incentives, and career development opportunities to boost morale and performance in [WORK ENVIRONMENT].",tip:"Boost team morale with structured motivation strategies."},{title:"Employee Training Schedule",prompt:"Act like a training coordinator and develop a training schedule for [NEW HIRES/ONGOING TRAINING]. Include training modules, dates, and instructors to ensure comprehensive skill development and alignment with [COMPANY STANDARDS].",tip:"Plan systematic training programs for team development."},{title:"Employee Wellness Program",prompt:"Act like a wellness coordinator and develop a wellness program for [EMPLOYEES]. Include health initiatives, participation incentives, and support resources to promote well-being and increase productivity in [WORKPLACE].",tip:"Design programs that support employee wellbeing."},{title:"Team Building Workshop",prompt:"Act like a team development facilitator and design a team building workshop for [TEAM/DEPARTMENT]. Include: 1) Ice-breakers and warm-up activities, 2) Collaborative exercises and challenges, 3) Communication and trust-building activities, 4) Reflection and action planning, 5) Follow-up accountability measures.",tip:"Strengthen team dynamics with structured workshops."},{title:"Budget Allocation Plan",prompt:"Act like a financial planner and outline a budget allocation plan for [DEPARTMENT/PROJECT]. Include: 1) Key expense categories with projected costs, 2) Fu
486nding sources and constraints, 3) ROI expectations for major investments, 4) Contingency reserves, 5) Quarterly review checkpoints.",tip:"Structure budgets for maximum strategic impact."},{title:"Meeting Agenda Creation",prompt:"Act like a professional project manager and create a detailed meeting agenda for [PROJECT/MEETING] scheduled on [DATE]. Include key discussion points, assigned tasks, and expected outcomes to ensure all participants are prepared and aligned with [MAIN OBJECTIVE].",tip:"Structure meetings for maximum productivity and clarity."},{title:"Event Planning Checklist",prompt:"Act like an event planner and create a detailed checklist for [EVENT]. Include key tasks, deadlines, responsible parties, and budget considerations to ensure seamless coordination and successful execution of [EVENT OBJECTIVES].",tip:"Plan events with comprehensive checklists."}],$K=[{title:"Excel Formulas with AI",prompt:"I'm working in Excel with two sheets: one has sales order & order amount, the other has sales orders with customer names & dates. I need a formula to fetch the customer name in the first sheet using sales order as the key. Give me the exact formula and explain how to use it.",tip:"Let AI write your Excel formulas â just describe what you need."},{title:"Python Financial Analysis",prompt:"My data is in an Excel file called 'Sales 2025'. I'm using Google Colab. Generate the full Python code to identify outliers and show me a geographical dashboard. Here are the headers and first 5 lines as example: [insert data example here].",tip:"Turn raw data into visual dashboards with AI-generated Python code."},{title:"Budget Instructions Draft",prompt:"I am the finance manager. I need to draft the instructions for this year's budget. Help me create the instructions for all departments and for the finance team. It needs to include objectives, key assumptions, time schedule and deliverables. Ask me for information you need before starting and I will provide them.",tip:"Draft comprehensive budget instructions for all departments."},{title:"Gap-Closing Action Plan",prompt:"I'm an FP&A analyst. Sales came in 15% below budget due to supply chain delays. Can you draft a bullet-point action plan I can present to management to close the gap? Make it solution-oriented, measurable, and structured like a proactive finance business partner.",tip:"Create actionable plans to close budget-vs-actual gaps."},{title:"Financial Statement Notes",prompt:"I'm preparing financial statements under US GAAP. Can you draft a note for property, plant, and equipment with a table by category showing cost, depreciation and net value? Also include useful lives by category. Use a clear, compliant format like a Big 4 partner would.",tip:"Draft GAAP-compliant financial statement notes instantly."},{title:"Budget Input Email Request",prompt:"I work in finance and need inputs from other departments on 2026 external service needs for our budget. Help me write a clear email request and create a sample table they can fill. Deadline is June 30, 2025. Use a professional tone â like a finance coordinator gathering inputs.",tip:"Write professional emails to gather budget inputs from departments."},{title:"Advanced Financial Modeling",prompt:"I'm a young finance professional starting a new role. Teach me advanced financial modeling skills â what they are, why they matter, and how to learn and apply them on the job. Break it down clearly, like a mentor training someone for high-performance FP&A work.",tip:"Learn advanced financial modeling like a mentor is teaching you."},{title:"Visual Scenario Planning",prompt:"I'm creating a visual called '2025 Financial Forecast Scenarios'. Show 3 cases side-by-side: Best case ($24M rev, $6M EBITDA), Base ($20M, $4.5M), Downturn ($14M, breakeven). Use horizontal bars with green, gray, & red, plus icons. Make it clean & exec-ready using the best Financial Storytelling techniques.",tip:"Create executive-ready visual scenario comparisons."},{title:"Cash Flow Projection",prompt:"I'm building a 12-month cash flow projection for a small retail business. Include beginning cash, inflows, outflows, and ending balance. Present it in a simple, table format. Make it clear and easy to understand for a business owner by using Excel graphs.",tip:"Generate 12-month cash flow projections with visual charts."},{title:"Dunning Letter Templates",prompt:"I'm managing receivables and need 3 dunning letter templates: first notice, reminder, and final warning before legal action. Each should include placeholders for invoice number & amount. Tone must escalate with each letter â like a finance pro handling collections professionally.",tip:"
486Create escalating collection letters for receivables management."},{title:"Cost Reduction Plan",prompt:"I'm a financial analyst at a manufacturing company. My manager asked for a cost reduction plan. Create a table with the best cost-cutting ideas, action steps, and impact column â a 5-step mini plan. Keep it practical, valuable & structured, like the best cost-cutter consultant would do.",tip:"Draft structured cost reduction plans with measurable impact."},{title:"Finance Business Partner Questions",prompt:"I'm a finance business partner meeting the head of sales & marketing for the first time. Suggest 10 smart questions I can ask to build trust, understand their priorities, and show how finance can support growth â like a strategic partner starting a high-impact relationship.",tip:"Prepare strategic questions for cross-functional business partnering."},{title:"Standard Operating Procedure",prompt:"I'm an accountant using QuickBooks. I need a step-by-step SOP for bank reconciliation that complies with internal controls. Make it clear, structured, and practical â like a finance team documenting clean processes for an audit-ready company.",tip:"Create audit-ready SOPs for financial processes."}],UK=[{title:"RCA: Define the Problem Clearly",prompt:"I am facing [describe the issue in detail]. Help me define this problem clearly by restating it in one sentence, breaking it into measurable components, and identifying both the symptoms and possible hidden causes. Present your output in a structured table with columns: Symptom, Impact, Possible Hidden Cause.",tip:"Start every root cause analysis with crystal-clear problem definition."},{title:"RCA: Five Whys Analysis",prompt:"Perform a Five Whys root cause analysis for the issue: [insert issue]. Start with the surface problem, ask why five times, and document each answer step-by-step. End with the deepest possible root cause, and summarize it in plain English.",tip:"Drill down to the deepest root cause with iterative questioning."},{title:"RCA: Fishbone Diagram (Ishikawa)",prompt:"Construct a textual Fishbone diagram for the issue [insert problem]. Break down causes into six major categories: People, Process, Technology, Materials, Environment, and Management. Under each category, list detailed contributing factors in bullet points.",tip:"Map all possible cause categories visually for comprehensive analysis."},{title:"RCA: Problem vs. Symptom Clarification",prompt:"For the problem [insert problem], separate what is a symptom vs. what is the actual root cause. Provide a two-column table where the first column lists all symptoms, and the second column hypothesizes potential root causes behind them.",tip:"Distinguish symptoms from causes to avoid treating the wrong issue."},{title:"RCA: Timeline of Events Analysis",prompt:"Reconstruct a timeline of events leading to the problem [insert problem]. Identify the sequence of triggers, key actions, and decisions. Highlight the earliest detectable point where intervention could have prevented escalation.",tip:"Trace the chain of events to find the earliest intervention point."},{title:"RCA: Stakeholder Perspective Mapping",prompt:"Analyze the problem [insert problem] from the perspective of different stakeholders: customer, employee, manager, and external partner. For each, list what they perceive as the cause, how it impacts them, and what evidence supports or contradicts their view.",tip:"Understand how different stakeholders see the same problem differently."},{title:"RCA: Barrier Analysis",prompt:"Conduct a barrier analysis for the incident [insert problem]. Identify what barriers (policies, checks, systems) were supposed to prevent this, how they failed, and what gaps existed. Present results in a table: Barrier Expected Function | How it Failed | Possible Improvements.",tip:"Identify which safeguards failed and why."},{title:"RCA: Fault Tree Analysis (FTA)",prompt:"Perform a Fault Tree Analysis for [insert problem]. Start with the top-level failure, then break it down into possible sub-failures using AND/OR logic. Present hierarchically as an outline showing how multiple causes combine to create the main issue.",tip:"Map how multiple failures comb
486ine to create the top-level problem."},{title:"RCA: Systems Thinking Approach",prompt:"Apply systems thinking to the problem [insert issue]. Map out feedback loops, reinforcing cycles, and delays within the system that might have created or worsened the issue. Provide both a textual diagram and an explanation of leverage points.",tip:"Reveal hidden feedback loops and systemic patterns driving the issue."},{title:"RCA: Pareto Analysis (80/20 Rule)",prompt:"Create a Pareto analysis of events leading to the problem [insert problem]. Identify the sequence of triggers, key actions, and decisions. Highlight the earliest detectable point where intervention could have prevented escalation.",tip:"Focus on the vital few causes that drive 80% of the problem."},{title:"RCA: Cause-and-Effect Matrix",prompt:"Create a Cause-and-Effect matrix for [insert problem]. In the rows, list potential causes. In the columns, list measurable effects (e.g., cost, time lost, quality, risk). Score each cause-effect link from 1 to 10, and identify the top priority causes.",tip:"Quantify and prioritize causes by their measurable impact."},{title:"RCA: Comparative Case Analysis",prompt:"Compare the current problem [insert problem] with similar past problems in [industry/domain]. Identify common cause patterns, highlight what is unique in this situation, and propose which cause is most likely relevant here.",tip:"Learn from similar problems across industries and domains."},{title:"RCA: Hypothesis Testing Approach",prompt:"Generate multiple hypotheses for the root cause of [insert problem]. For each hypothesis, suggest testable predictions or evidence to confirm or refute it. Present in a table: Hypothesis | Supporting Evidence | Disconfirming Evidence | Next Step.",tip:"Test root cause hypotheses with structured evidence evaluation."},{title:"RCA: Human Factors Analysis",prompt:"Analyze the role of human factors in the problem [insert issue]. Break it into categories: training, motivation, communication, workload, cognitive bias, and error type (slip, lapse, mistake, violation). Identify which contributed most.",tip:"Uncover human-related contributors to operational failures."},{title:"RCA: Process Mapping Analysis",prompt:"Map the process where the issue [insert problem] occurred. Provide a step-by-step textual flowchart. At each step, highlight potential failure points, missing checks, or bottlenecks that may have caused the root issue.",tip:"Visualize process steps to find failure points and bottlenecks."},{title:"RCA: 5W2H Method",prompt:"Apply the 5W2H method to [insert problem]. For each dimension (What, Why, Where, When, Who, How, How much), fill in detailed answers. Use this to clarify scope and identify the most likely root cause.",tip:"Clarify problem scope with structured who/what/where/when/why/how analysis."},{title:"RCA: Contradiction Analysis",prompt:"For the problem [insert issue], identify contradictions such as 'we want X but also Y' that may be driving it. Map out conflicting requirements, priorities, or incentives, and explain how these contradictions contribute to the root cause.",tip:"Surface hidden contradictions and conflicting incentives."},{title:"RCA: Data-Driven Analysis",prompt:"Based on the available data for [insert problem], identify correlations, anomalies, and trends. Highlight which metrics strongly point toward a likely root cause, and which are just noise. Provide recommendations for further data collection.",tip:"Let data guide your root cause identification."},{title:"RCA: Failure Mode and Effects Analysis (FMEA)",prompt:"Perform an FMEA for [insert system/process]. List possible failure modes, their causes, effects, and assign Risk Priority Numbers (RPN) using Severity, Occurrence, and Detection ratings from 1 to 10. Identify the highest risk root causes.",tip:"Systematically assess failure modes and prioritize by risk."},{title:"RCA: Counterfactual Analysis",prompt:"Perform a counterfactual analysis of [insert problem]. Describe what would have happened if a key event or decision had been different. Use this to isolate which factor was critical in creating the root cause.",tip:"Isolate critical factors by exploring 'what if' scenarios."},{title:"RCA: Constraints Analysis",prompt:"Analyze the issue [insert problem] through the Theory of Constraints. Identify the system's weakest link, how it contributed to the problem, and how removing or reinfor
486cing it could prevent recurrence.",tip:"Find and address the system's weakest link."},{title:"RCA: Cost of Root Cause",prompt:"Estimate the cost implications of the root cause behind [insert problem]. Break it down into direct costs, indirect costs, opportunity costs, and long-term risks. Provide calculations and reasoning.",tip:"Quantify the financial impact of root causes for executive buy-in."},{title:"RCA: Scenario Simulation",prompt:"Simulate alternative scenarios for [insert problem]. Describe how the issue would change if variable A increased, variable B decreased, or condition C was removed. Use this to isolate which variable is most likely the root cause.",tip:"Test variables through scenario simulation to isolate root causes."},{title:"RCA: External Factors Analysis",prompt:"Analyze how external factors (market shifts, regulations, environment, competitors) may have contributed to [insert problem]. Distinguish between controllable and uncontrollable factors, and highlight which ones are most likely root causes.",tip:"Assess external forces that may drive internal problems."},{title:"RCA: Cognitive Bias Root Cause",prompt:"Examine whether cognitive biases (confirmation bias, hindsight bias, sunk cost fallacy, overconfidence) influenced the decisions leading to [insert problem]. Identify which bias played the strongest role and how it created the outcome.",tip:"Uncover hidden biases that led to flawed decision-making."},{title:"RCA: Cross-Industry Benchmarking",prompt:"Compare the root causes of [insert problem] with best practices from other industries. Highlight what root cause patterns are universal, and which are specific to my industry. Suggest how other industries solved similar root causes.",tip:"Borrow proven solutions from other industries."},{title:"RCA: Layered Why-Tree",prompt:"Build a layered Why-Tree for the issue [insert problem]. Start with the problem as the root, then expand branches for each cause, then sub-causes, until you reach fundamental systemic-level root causes. Present hierarchically in outline format.",tip:"Build a comprehensive cause hierarchy from surface to systemic level."},{title:"RCA: Prevention-Focused RCA",prompt:"Identify not just the root cause of [insert problem], but also preventive measures. Provide an RCA summary and then recommend preventive actions categorized into short-term fixes, medium-term improvements, and long-term redesigns.",tip:"Go beyond diagnosis to prevention with actionable recommendations."},{title:"RCA: Evidence Weighting",prompt:"List all potential root causes for [insert problem]. For each cause, assign a probability weight based on available evidence (high, medium, low). 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â"]}),r.jsx("p",{className:"text-xs text-[#CCCCCC] leading-relaxed",children:i})]},n))})]},e))}),r.jsx("div",{className:"text-center",children:r.jsx(de,{href:"/general-ai-toolkit",className:"text-sm tracking-wide transition-colors hover:opacity-80",style:{color:yt},children:"See the full AI toolkit for private companies â"})})]})}),r.jsx("section",{id:"diagnostic-form",className:"py-24 bg-[#0A0A0A] border-t border-white/5",children:r.jsxs("div",{className:"container mx-auto px-4 sm:px-8 max-w-2xl text-center",children:[r.jsx("p",{className:"text-xs font-semibold tracking-widest uppercase mb-5",style:{color:yt},children:"Request your diagnostic"}),r.jsx("h2",{className:"text-3xl md:text-4xl font-light text-white mb-6",children:"Start the conversation."}),r.jsx("p",{className:"text-sm text-[#CCCCCC] mb-10 leading-relaxed",children:"For institutional inquiries or confidential discussions, please contact:"}),r.jsx("a",{href:"mailto:[email protected]",className:"text-base transition-colors 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48601",subtitle:"Where AI can create investment value in this business",questions:[{id:"o1",text:"How much could AI-driven automation compress costs in this business?",options:[{label:"Minimal scope",detail:"< 10% of cost base is addressable by AI automation",value:25},{label:"Limited scope",detail:"10â25% of costs could be reduced through AI automation",value:50},{label:"Meaningful scope",detail:"25â50% of workflows have credible AI cost-compression potential",value:75},{label:"Significant scope",detail:"> 50% of the cost base is addressable by AI-driven automation",value:100}]},{id:"o2",text:"How significant is the margin expansion potential through AI-enabled workflow redesign?",options:[{label:"No clear path",detail:"No identifiable route to margin improvement via AI",value:25},{label:"Limited upside",detail:"Administrative efficiency gains only; not structurally material",value:50},{label:"Clear opportunity",detail:"AI could improve EBITDA margins in operations or service delivery",value:75},{label:"Multiple levers",detail:"AI could drive material P&L improvement across several dimensions",value:100}]},{id:"o3",text:"How much operating leverage could AI unlock in this business?",options:[{label:"Minimal",detail:"Business is already lean; limited additional leverage available",value:25},{label:"Some",detail:"Incremental gains achievable; not a structural leverage driver",value:50},{label:"Material",detail:"AI could decouple revenue growth from headcount growth materially",value:75},{label:"Structural",detail:"AI represents a fundamental operating leverage opportunity at scale",value:100}]},{id:"o4",text:"How directly could AI tools accelerate revenue generation or expand market reach?",options:[{label:"Minimal impact",detail:"AI unlikely to change revenue trajectory in the investment horizon",value:25},{label:"Modest",detail:"AI could modestly improve sales productivity or pipeline velocity",value:50},{label:"Meaningful",detail:"AI could expand addressable market or compress sales cycles materially",value:75},{label:"Transformational",detail:"AI could fundamentally reshape the go-to-market model and revenue ceiling",value:100}]}]},{id:"risk",label:"AI Risk",badge:"02",subtitle:"Exposure to AI-driven competitive and operating risk",questions:[{id:"r1",text:"How significant is the AI-native competitive threat in this market?",options:[{label:"No visible threat",detail:"No AI-native competitors at meaningful scale in this market",value:25},{label:"Early stage",detail:"AI-native entrants exist but have not achieved material penetration",value:50},{label:"Growing threat",detail:"AI-native competitors are gaining share and compressing incumbent margins",value:75},{label:"Dominant",detail:"AI-native players are already reshaping market structure and pricing",value:100}]},{id:"r2",text:"How resilient is the company's pricing power to AI-driven margin compression?",options:[{label:"Strong",detail:"Pricing power robust; AI unlikely to compress margins materially in the hold period",value:25},{label:"Moderate",detail:"Some compression risk on a 3â5 year horizon; manageable with active monitoring",value:50},{label:"Under pressure",detail:"Pricing already under pressure from tech-enabled or AI-native alternatives",value:75},{label:"Severely exposed",detail:"Value proposition and price points at significant risk from AI-driven competition",value:100}]},{id:"r3",text:"How exposed is the core product or service to AI-driven commoditisation?",options:[{label:"Well defended",detail:"Core IP or delivery model is defensible; low commoditisation risk",value:25},{label:"Partially exposed",detail:"Some elements commoditisable; core value proposition remains intact",value:50},{label:"Materially exposed",detail:"Meaningful portions of the offering face AI-driven commoditisation pressure",value:75},{label:"Highly exposed",detail:"Core product or service is at high risk of commoditisation by AI tools",value:100}]},{id:"r4",text:"How vulnerable is the labor model to AI-driven workforce displacement?",options:[{label:"Minimal risk",detail:"Labor model is specialised and defensible; low displacement risk",value:25},{label:"Manageable",detail:"Some roles at risk; restructuring cost is quantifiable and manageable",value:50},{label:"Significant",detail:"A meaningful portion of the workforce faces near-term displacement risk",value:75},{label:"Structural",detail:"Labor model fundamentally at risk; significant restructuring cost likely",value:100}]}]}
486,{id:"readiness",label:"AI Readiness",badge:"03",subtitle:"Operational capability to engage with AI at scale",questions:[{id:"rd1",text:"How fit is the company's data infrastructure for AI deployment at scale?",options:[{label:"Poor",detail:"Data is fragmented, inconsistent, or inaccessible across the business",value:25},{label:"Basic",detail:"Some structured data exists but integration and governance are limited",value:50},{label:"Functional",detail:"Operational data systems are in place with meaningful room to improve",value:75},{label:"Investment-grade",detail:"Clean, integrated, and governed data infrastructure ready for AI",value:100}]},{id:"rd2",text:"How digitised are the core workflows underpinning this company's value delivery?",options:[{label:"Primarily manual",detail:"Paper-based or manual processes dominate core value-delivery workflows",value:25},{label:"Transitional",detail:"Mix of manual and digital; active digitisation programme underway",value:50},{label:"Mostly digital",detail:"Core workflows are digital; some automation is already deployed",value:75},{label:"Fully digitised",detail:"End-to-end digital infrastructure with significant automation in place",value:100}]},{id:"rd3",text:"How aligned is the leadership team on AI as a strategic priority?",options:[{label:"Low awareness",detail:"Leadership has limited AI understanding; no strategic initiatives underway",value:25},{label:"Aware but passive",detail:"Awareness exists; no concrete AI ownership or budget allocation",value:50},{label:"Engaged",detail:"Leadership is actively pursuing AI; early initiatives are in progress",value:75},{label:"Committed",detail:"Clear AI strategy with designated ownership, budget, and board-level support",value:100}]},{id:"rd4",text:"How proven is the company's capacity to absorb and execute large-scale operational change?",options:[{label:"High inertia",detail:"Historically resistant to change; strong organisational friction and inertia",value:25},{label:"Limited",detail:"Some change capacity; meaningful friction points constrain execution",value:50},{label:"Moderate",detail:"Successful change programmes have been executed in recent operating history",value:75},{label:"Highly adaptable",detail:"Demonstrated track record of delivering large-scale operational transformation",value:100}]}]},{id:"execution",label:"AI Execution",badge:"04",subtitle:"Internal capacity to capture AI value at operational scale",questions:[{id:"ex1",text:"How AI-compatible is the current technology stack?",options:[{label:"Legacy",detail:"Significant technical debt; stack is not AI-compatible without major investment",value:25},{label:"Partially modernised",detail:"Core systems partially modernised; meaningful remediation required",value:50},{label:"Modern core",detail:"Stack is broadly AI-compatible with manageable legacy components",value:75},{label:"Contemporary",detail:"Cloud-native or modern infrastructure ready for AI integration today",value:100}]},{id:"ex2",text:"How capable is the organisation to implement AI without reliance on external vendors?",options:[{label:"None",detail:"No internal AI or technology capability; fully dependent on external delivery",value:25},{label:"Limited",detail:"Small technology team without meaningful AI delivery experience",value:50},{label:"Moderate",detail:"Technology team capable of implementing AI with structured external support",value:75},{label:"Strong",detail:"Dedicated AI or digital capability with a proven internal delivery track record",value:100}]},{id:"ex3",text:"How disciplined is the operating model at delivering complex change programmes?",options:[{label:"Weak",detail:"Project delivery is inconsistent; limited programme governance or accountability",value:25},{label:"Inconsistent",detail:"Execution quality varies; structured processes are not consistently followed",value:50}
486,{label:"Good",detail:"Processes are documented and followed; delivery is generally consistent",value:75},{label:"Strong",detail:"High delivery reliability with strong programme governance and accountability",value:100}]},{id:"ex4",text:"How strong is the organisation's track record in managing significant operational transformation?",options:[{label:"Minimal",detail:"Little evidence of structured transformation; significant resistance to change",value:25},{label:"Basic",detail:"Transformation managed informally; results have been inconsistent",value:50},{label:"Moderate",detail:"Structured transformation programmes with demonstrable past success",value:75},{label:"Strong",detail:"Experienced transformation capability with measurable outcomes and repeatable methodology",value:100}]}]},{id:"disruption",label:"AI Disruption Exposure",badge:"05",subtitle:"Structural exposure to AI-driven industry disruption",questions:[{id:"d1",text:"How rapidly are AI-native competitors gaining traction in this market?",options:[{label:"No visible threat",detail:"No AI-native competitors at meaningful scale in this market",value:25},{label:"Emerging",detail:"AI-native entrants exist but have limited market penetration today",value:50},{label:"Accelerating",detail:"AI-native competitors gaining share; competitive structure is shifting",value:75},{label:"Disruptive",detail:"AI-native players are already reshaping competitive dynamics and pricing",value:100}]},{id:"d2",text:"How exposed is the business model to AI-driven barrier-to-entry compression?",options:[{label:"Well defended",detail:"High barriers to entry; AI is unlikely to materially lower them",value:25},{label:"Partial exposure",detail:"Some barriers may erode over time; competitive set could gradually expand",value:50},{label:"Meaningful exposure",detail:"AI is actively lowering entry barriers; new competitors are entering the market",value:75},{label:"Severe exposure",detail:"Entry barriers have materially compressed; market is increasingly contestable",value:100}]},{id:"d3",text:"How significant is the risk of customer self-service substitution through AI?",options:[{label:"Minimal",detail:"Customer self-service substitution risk is low in this business model",value:25},{label:"Limited",detail:"Some automation of customer touchpoints is possible but unlikely to be structural",value:50},{label:"Material",detail:"AI self-service tools could materially reduce demand for human-delivered services",value:75},{label:"Structural",detail:"AI-driven self-service is a direct substitution threat to core revenue streams",value:100}]},{id:"d4",text:"How vulnerable is the business to direct AI software or platform displacement?",options:[{label:"Low risk",detail:"Business model is not at risk of displacement by AI-native software or agents",value:25},{label:"Limited risk",detail:"Peripheral workflow elements are replaceable; core model remains intact",value:50},{label:"Moderate risk",detail:"Core workflows increasingly addressable by AI-enabled software alternatives",value:75},{label:"High risk",detail:"Business model at structural risk of displacement by AI platforms or autonomous agents",value:100}]}]}];function Rc(e,t){const i=Fm.find(a=>a.id===e).questions.map(a=>t[a.id]??0);return i.some(a=>a===0)?0:Math.round(i.reduce((a,s)=>a+s,0)/i.length)}function eY(e){return{opportunity:Rc("opportunity",e),risk:Rc("risk",e),readiness:Rc("readiness",e),execution:Rc("execution",e),disruption:Rc("disruption",e)}}function gR(e){return Math.round(e.opportunity*.25+(100-e.risk)*.2+e.readiness*.15+e.execution*.15+(100-e.disruption)*.25)}function tY(e){return e>=70?"A":e>=50?"B":e>=30?"C":"D"}const nY={A:{label:"Strong AI investment profile",color:"#22c55e",summary:"This company demonstrates a strong AI profile â meaningful upside potential, manageable disruption exposure, and sufficient readiness and execution capacity to capture value. AI is likely a positive driver in the investment thesis."},B:{label:"Moderate AI investment profile",color:nt,summary:"This company presents a balanced AI profile. Identifiable opportunities coexist with risk or capability gaps. AI diligence should focus on validating the execution path and stress-testing disruption dynamics before close."},C:{label:"Challenged AI investment profile",color:"#f97316",summary:"This company faces limited opportunity, meaningful disruption risk, or insufficient execution readiness. AI is likely a net headwind unless the thesis includes a structured transformation programme with clear ownership and milestones."},D:{label:"High-risk AI investment profile",color:"#ef4444",summary:"This company shows significant exposure to AI-driven disruption with limited internal
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Context: [paste 5-15 sentences on the business: what you sell, how you make money, the main cost lines, what changed in the last two quarters]. 568 569Build 4 separate issue trees that break this question into sub-questions. Each tree uses a different cut: 570Tree 1: by profit lever (price, volume, mix, cost). 571Tree 2: by process stage, from [first step of your core workflow] to [last step]. 572Tree 3: by customer segment [list your segments, or tell Claude to infer them from context]. 573Tree 4: by a cut you choose that I have not thought of. Name it and defend it. 574 575Rules for every tree: two or three levels deep, branches mutually exclusive and collectively exhaustive, every leaf phrased as a question that data could answer. After each tree, state in one line what that cut is best at finding and what it is structurally blind to. Finish with a recommendation on which single tree to run first, given that my binding constraint is [time / analyst capacity / data access, pick one].`},{title:"The Hypothesis Loader",prompt:`Here is my issue tree: [paste the tree, one branch per line, indented to show levels]. 576 577For every leaf, produce a table with four columns: 5781. Hypothesis: one falsifiable sentence stating what we believe is true, with a direction and rough magnitude, e.g. 'freight cost per order rose more than 15% since [date].' 5792. Kill condition: the specific evidence that would make us drop this branch within a week. 5803. Data needed: the exact report, system, or person likely to hold the answer inside a company like mine [name your stack if you know it, e.g. NetSuite + Salesforce + Looker]. 5814. Owner and effort: who on a lean team pulls it, and whether it is an hour, a day, or a week of work. 582 583Then rank the leaves by (likelihood the hypothesis is true) x (size of the prize if true) / (effort to test), and give me the three tests to run in the first five business days.`}],j1e=[{title:"The Ghost Deck Drafter",prompt:`I am about to commit my team to answering this key question: [paste the key question], using this issue tree: [paste the winning tree with hypotheses attached]. 584 585Before any analysis runs, draft the ghost version of the final readout: the storyline we would tell if the leading hypotheses hold. 586 587Produce: 5881. A one-paragraph governing thought: the answer we currently expect, stated plainly. 5892. A slide-by-slide skeleton, 8 to 12 slides. Each slide is a full-sentence headline that asserts a claim, followed by one placeholder line describing the exhibit that would prove it and the data source it comes from. 5903. A mirror skeleton, 4 to 6 headlines: the story the readout tells if the lead hypothesis dies. 5914. A workplan table mapping each slide to the analysis that fills it, the owner [list your team members and their day jobs], and the week it lands inside a [4/6/8]-week window. 592 593Mark every headline that currently rests on an untested assumption.`},{title:"The Fact Base Builder",prompt:`You are a senior consultant building the current-state fact base for a diagnostic of [COMPANY OR BUSINESS UNIT]. Your job is to structure what I give you, flag what conflicts, and name what is missing. 594
595Here is the raw material: 596[PASTE: P&L or financial summary for the last 8-12 quarters] 597[PASTE: operational KPI reports, whatever gets tracked weekly or monthly] 598[PASTE: org structure and headcount by function, if available] 599[PASTE: any prior strategy decks, board materials, or consultant reports] 600 601Produce four sections: 602 6031. BUSINESS SNAPSHOT. What this business is, how it makes money, and the 6 numbers that matter most. Cite the source document for each number. 604 6052. PERFORMANCE NARRATIVE. What the data says is happening, 300 words maximum, plain language. Lead with trends, then levels. If margin is compressing, say where the compression comes from. 606 6073. CONTRADICTIONS. Every place two documents disagree, a figure looks implausible, or a stated priority does not match where the money goes. Quote the conflicting numbers side by side. Do not resolve them. List them. 608 6094. OPEN QUESTIONS. The 10 questions this material cannot answer, ranked by how much each answer would change the diagnosis. For each, name the role inside the company most likely to know. 610 611Rules: every figure gets a source. Anything you infer gets labeled INFERENCE. A gap in the data is a finding, so report it instead of writing around it.`},{title:"The Interview Synthesizer",prompt:`I am pasting raw notes or transcripts from internal interviews about [TOPIC, e.g., why order-to-cash keeps missing SLA]. Interviewees are labeled by role: [ROLE 1], [ROLE 2], [ROLE 3]. 612 613[PASTE: transcript or notes, one interview at a time, each labeled by role] 614 615Produce: 616 6171. THEMES. The 5-8 recurring themes across all interviews. For each: a one-line statement of the theme, how many interviewees raised it, and 2 representative verbatim quotes with the role attached. 618 6192. OUTLIERS. Claims made by exactly one person that would matter if true. For each: who said it and what evidence would confirm or kill it. 620 6213. DISAGREEMENTS. Where interviewees describe the same process or problem differently. Show the competing versions side by side. 622 6234. THE SILENCE. Up to 5 topics you would expect people in these roles to raise that nobody did, with why each absence is notable. 624 625Rules: quotes stay verbatim. Do not average opinions into a consensus that was not there. If two people contradict each other, that is a finding, so preserve it.`},{title:"The Alignment Gap Map",prompt:`I am giving you the positions of [N] leaders on the state of [BUSINESS AREA OR INITIATIVE]. Sources are a mix of [interview notes / emails / planning docs / my summaries of 1:1 conversations], each labeled by role. 626 627[PASTE: material per leader, labeled ROLE: ...] 628 629Build an alignment map: 630 6311. THE QUESTION GRID. Identify the 5-8 underlying questions these leaders are implicitly answering (examples: is the problem demand or execution, can the current team fix it, how urgent is this). For each question, state each leader's position in one line with a quote or paraphrase as evidence. 632 6332. FAULT LINES. The 2-3 disagreements that cost the most if left unresolved. For each: who is on which side, and whether the split looks like an information gap (they see different data) or an incentive gap (they are paid to want different things). Show your reasoning. 634 6353. FALSE ALIGNMENT. Places where everyone uses the same words and means different things. Quote the shared language, then unpack the divergent meanings. 636 6374. THE MEETING AGENDA. If I could put this group in one room for 90 minutes, the 3 questions to force to a decision, in order. 638 639Rules: attribute every position to its source. Where the material does not support a position, write NOT EVIDENCED instead of guessing.`},{title:"The Process Autopsy",prompt:`Map the process below the way the work actually happens. Ignore the SOP version. 640 641Process: [NAME, e.g., enterprise customer onboarding] 642Walk-through: [DESCRIBE each step in order as it really runs: who does it, what system they use, how long the step takes, how long work WAITS before the step starts, what goes wrong, and what percentage gets sent back for rework. Rough numbers are fine. Label them rough.] 643Volume: [how many times this process runs per week or month] 644Cost assumptions: [rough loaded hourly cost of the roles involved, if known] 645 646Produce: 647 6481. THE MAP. A text-based map: numbered steps, owner, system, touch time, wait time. Mark every handoff with H, every queue with Q, every rework loop with R. 649 6502. THE DELAY LEDGER. Rank the waits and rework loops by total hours consumed per month using my volume figure. Show the math. 651 6523. THE THREE UGLIEST HANDOFFS. For each: what gets lost in the handoff, why it exists (system boundary, org boundary, or approval ritual), and what would have to be true to remove it. 653 6544. QUESTIONS FOR THE FLOOR. The 5 things I should verify by watching the work, because my description probably flattered the process. 655 656Rules: separate touch time from wait time everywhere. If my inputs blend them, ask. Do not blend them yourself.`}],k1e=[{title:"The Exhibit Architect",prompt:`You are designing the exhibits for a current-state readout to [AUDIENCE, e.g., the executive team of a $400M distribution company]. Below are my findings and the data I can actually pull. 657 658Findings: [PASTE: your fact-base findings, one per line] 659Available data: [LIST: what you can genuinely get, e.g., monthly P&L by segment for 3 years, ticket volume by type, headcount by function] 660 661For each finding, produce an exhibit spec: 662 6631. TITLE: a full sentence stating the point, written so the page is understood from the title alone. Example: "Service margin fell 6 points in 18 months, and 80% of the fall sits in two accounts." 664 6652. FORM: the single chart or table that proves the title, and why that form. Waterfall for bridges, line for trends, scatter for relationships, table when precision beats shape. 666 6673. DATA SPEC: exactly which fields, what time range, what cuts. Written so an analyst could pull it without asking me anything. 668 6694. THE EYE TEST: what the viewer's eye should land on first, and the one annotation to add. 670 6715. KILL CHECK: if the data comes back and does not support the title, name the fallback exhibit. 672 673Rules: one point per exhibit. If a finding needs two charts, split it into two findings. Reject any finding too vague to chart and tell me what would sharpen it.`},{title:"The Five-Stance Red Team",prompt:`Red-team this recommendation from five different stances, one at a time. Stay fully in character for each. Do not blend them. 674 675The recommendation: [paste the recommendation and its supporting logic] 676 677Stance 1: A skeptical CFO who has watched three initiatives like this miss their numbers. Attack the financials, the payback period, and every number that looks rounded up. 678Stance 2: A hostile board member who suspects management is empire-building. Attack the strategic logic and the incentives of the people proposing it. 679Stance 3: The operator who has to actually run this. Attack the timeline, the staffing, and everything the plan assumes about capacity that does not exist yet. 680Stance 4: A competitor CEO reading this plan after a leak. Tell me exactly how you would respond, and which of our moves you would be relieved to see. 681Stance 5: The customer. Tell me what changes for you, what you were never asked, and where you would quietly leave. 682 683After all five, list the three objections that came up in more than one stance. Those are the ones I take into the room.`},{title:"The Bear Case Builder",prompt:`Build the bear case for this plan. The base case is below. Your job is to construct the credible downside version, the one a smart short-seller would write if they were betting against us. 684 685Base case: [paste the key numbers, growth assumptions, timeline, and expected outcome]
686Key inputs and current assumed values: [list the 5-10 numbers the model runs on: win rate, churn, ramp time, unit cost, adoption, pricing] 687 6881. For each input, give me the pessimistic-but-defensible value. Defensible means a reasonable person could hold it, driven by a plausible mechanism, no asteroid strikes. 6892. Rebuild the outcome with those values. Show which single input moves the result most. 6903. Identify the compounding pair: the two inputs that do the most damage if they go wrong together, and why they might correlate. 6914. Write the bear case as one page of prose, the way an investor memo would put it. 6925. End with the tripwires: for each of the three most dangerous inputs, the observable metric and the threshold that tells us we are living in the bear case, early enough to act.`}],N1e=[{title:"The Rival Explanation Generator",prompt:`This case rests on a pattern in the data and one explanation for it. Your job is to generate the explanations we skipped. 693 694The pattern: [describe the finding, e.g. churn dropped 30% after the pricing change, the pilot region outperformed by 2x] 695Our explanation: [the causal story the recommendation is built on] 696What we plan to do because of it: [the decision this finding justifies] 697 6981. Generate every alternative explanation for the same pattern: selection effects, timing and seasonality, a measurement change, a one-off event, regression to the mean, a confounding change that happened at the same time, and any mechanism specific to this situation. 6992. For each alternative, rate its plausibility and state what it would mean for the decision if it were the true cause. 7003. Give me the cheapest test that would separate our explanation from the strongest alternative. Cheapest means days and existing data, ideally. 7014. Then your honest read: if you had to bet, what share of the observed effect belongs to our explanation versus everything else.`},{title:"The Top-Down Cascade",prompt:`You are building a top-down market sizing for [PRODUCT/SERVICE] in [GEOGRAPHY]. 702 703Start from the broadest credible market category and narrow in explicit steps: total category spend, then the segment we serve ([SEGMENT DEFINITION]), then geography, then the portion addressable by our delivery model ([BUSINESS MODEL: e.g., subscription software, managed service, per-project fees]). 704 705Rules: 7061. Show every narrowing step as one line in a table: starting number, filter applied, percentage assumption, resulting number. 7072. Label every number A, B, or C. A = a figure you believe exists in published research that I should verify. B = your structured estimate. C = pure assumption. 7083. Never present a number as sourced. For every A-line, name where I should go verify it. I will do that sourcing myself. 7094. End with TAM, SAM, and SOM, each as a low/base/high range, plus the three assumptions that move the final answer most and by how much. 710 711Context on the business: [2-4 SENTENCES: what you sell, who buys it, rough price point, how it is delivered].`},{title:"The Bottom-Up Rebuild",prompt:`Build a bottom-up market sizing for [PRODUCT/SERVICE]. Ignore all published market-size figures. Build the number from the ground: 712 7131. Buying unit. Define who actually writes the check: [BUYER: e.g., mid-market HR departments, independent dental practices, plant managers at food manufacturers]. 7142. Count. Estimate how many buying units exist in [GEOGRAPHY] and show the logic: census categories, industry association membership, employment statistics. Flag which counts I should verify against a real source. 7153. Adoption. What fraction of those units plausibly buys anything in this category at all, with your reasoning stated. 7164. Price. Annual spend per buying unit at [OUR PRICE POINT, or typical category pricing if we have none], as low/base/high. 7175. Multiply. Show the arithmetic for the low, base, and high cases. 718 719Present the whole model as a table I can rebuild in a spreadsheet in ten minutes: driver, value, evidence class (verify / estimate / assumption), and how much the final number moves if that driver swings 20%. 720 721Context: [2-4 SENTENCES on the product, the buyer, and the price].`},{title:"The Triangulation Audit",prompt:`Here are two independent sizings of the same market. 722
723Top-down estimate: [PASTE THE TOP-DOWN TABLE, OR THE NUMBER PLUS ITS KEY ASSUMPTIONS] 724Bottom-up estimate: [PASTE THE BOTTOM-UP TABLE, OR THE NUMBER PLUS ITS KEY ASSUMPTIONS] 725 726Triangulate them: 7271. State the gap, in dollars and as a ratio. 7282. Diagnose it. Walk both assumption chains and identify which specific assumptions drive the divergence. Rank them by contribution to the gap. 7293. For each driving assumption, name the real-world evidence that would settle it: a specific data source, a count I can check, or a set of five customer conversations. 7304. Give a reconciled base case with a defensible range, and state plainly which of the two estimates you trust more and why. 7315. List what would have to be true for the top of the range to be real, and for the bottom. 732 733Do not average the two numbers and call it triangulation. The gap is the finding. Explain it.`},{title:"The Margin Pool Map",prompt:`Map the structure of the [MARKET/INDUSTRY] market in [GEOGRAPHY]. 734 7351. Value chain. Lay out the stages from raw input to end customer. [OPTIONAL: name the stages you already know, e.g., manufacturers, distributors, installers, service contracts.] 7362. For each stage: estimated revenue pool, typical gross and operating margin range, and the two or three types of players who capture it. Label every number as estimate or verify-against-source. 7373. Mark where the margin concentrates and give the structural reason it sits there: switching costs, fragmentation, regulation, information advantage. 7384. Flag where margin is migrating. Which stage is gaining share of the total profit pool, and what is driving the shift? 7395. End with the three positions in this chain a new entrant with [OUR CAPABILITY: e.g., a service layer, a software layer, an existing distribution relationship] could realistically take, and what would have to be true for each. 740 741Context on us: [2-3 SENTENCES].`}],I1e=[{title:"The Beachhead Grid",prompt:`Build a segmentation of the [MARKET] market for [PRODUCT/SERVICE]. 742 7431. Propose 4-7 segments. Segment by what drives buying behavior: use case, urgency, who owns the budget. Use firmographics only where behavior actually follows them. State your segmentation logic before you list the segments. 7442. One row per segment: estimated size (with an evidence label: verify / estimate / assumption), growth direction and rough rate, the problem they are buying to solve, what they pay today and to whom, and how contested the segment is. 7453. Score each segment 1-5 on fit with our strengths [2-3 SENTENCES ON WHAT YOU ARE GENUINELY GOOD AT] and 1-5 on ease of reach through our channels [YOUR CHANNELS: e.g., founder network, outbound, one strong partner]. 7464. Recommend a beachhead segment and defend it. Then argue the opposite in three sentences: the strongest reason the beachhead is wrong. 7475. Close with the five facts about the recommended segment I should verify with real customers before betting on it.`},{title:"The Capability Benchmark Matrix",prompt:`Build a capability benchmark comparing my company against our main rivals. 748 749My company: [YOUR COMPANY, 2-3 SENTENCES on what you do and how you win today]. 750Competitors: [LIST 3-6 RIVALS]. 751Capabilities that decide who wins in this category: [LIST 5-8, e.g., distribution reach, product breadth, implementation speed, brand with the economic buyer, price flexibility, service model]. If you believe I have missed a capability buyers actually weigh, add it and say why. 752 753Score every player on every capability, 1 to 5. For each score, give one or two sentences of reasoning and the evidence behind it, so I can argue with it. Where you have no real evidence, still score it, mark it LOW CONFIDENCE, and say what would firm it up. 754 755Output: 7561. The matrix: players as columns, capabilities as rows, scores in the cells. 7572. The reasoning ledger below it: every cell's justification. 7583. The three biggest gaps where we trail, ranked by how much they cost us in deals. 7594. The one capability where we lead that rivals would find hardest to copy, and why. 7605. A short list of the scores most likely to be wrong, with the reason each might be off.`},{title:"The Filing Strategy Extractor",prompt:`I am pasting [COMPETITOR NAME]'s latest [10-K / annual report / earnings call transcript] below. Read it as a competitive strategist and answer four things: 761 7621. What changed. Compare the stated strategy, segment emphasis, and investment language against what you would expect from a company in this position a year ago. Quote the exact lines that carry the shift. 7632. Where the money is going. Capex, R&D, hiring, and M&A signals, and which business each one points to. 7643. What they are worried about. Read the risk factors and the analyst Q&A for the concerns management keeps circling back to, whether or not they name them directly. 7654. What this means for us. My company is [YOUR COMPANY, ONE SENTENCE]. We compete with them in [SEGMENTS / MARKETS]. Given points 1-3, where does their shift put pressure on us in the next two quarters, and where does it open room? 766 767Rules: every claim in sections 1-3 must quote or cite the document. Section 4 is your judgment; label it as judgment. Close with the two things in this document you found genuinely surprising. 768 769[PASTE THE FULL DOCUMENT TEXT]`},{title:"The Strategic Implications Memo",prompt:`You have my competitor teardowns and capability benchmark below. Write the strategic implications memo a senior partner would draft from them. One page. 770 771Inputs: 772[PASTE YOUR TEARDOWNS AND BENCHMARK MATRIX, or summarize: our position, each rival's position, the gap scores] 773 774The memo answers four questions, in this order: 7751. Where are we exposed? The two places a rival could hurt us in the next 12 months, and the specific move each one would make. 7762. Where is a rival overextended? Which player is spending or promising beyond its capability base, and what that opening looks like for us. 7773. Where is the whitespace? Segments, geographies, or buying situations no player currently owns, with the evidence. 7784. What would you watch? Five leading indicators that would tell us the competitive picture is shifting, each one observable from public sources or our own pipeline. 779 780Rules: no hedging language. Every claim gets a because-clause. Where the input is too thin to support a judgment, write INSUFFICIENT EVIDENCE instead of filling the gap. Close with the three decisions this memo puts in front of leadership, each framed as a choice with its tradeoff stated in one line.`}],S1e=[{title:"The Win/Loss Pattern Miner",prompt:`Below are our win/loss
780notes from the last [NUMBER] competitive deals. Each entry has: deal code, competitor faced, outcome, deal size band, what the buyer said, and what our sales team believes happened. 781 782Mine them for competitive pattern: 783 7841. By competitor. Against each rival: our win rate in this set, the situations where we win, the situations where we lose, and the recurring reason in each direction, quoting the notes. 7852. The real objection. Across the losses, the underlying pattern behind the stated reasons. Buyers say price; the notes often show something else. Name it and show the evidence. 7863. The playbook read. For each rival, infer their sales playbook against us: how they position us to the buyer, the trap they set, the proof they lead with. Mark all of this INFERRED. 7874. The counter. For our two most damaging loss patterns, draft the specific counter: the talk track, the proof point we need to build, or the deal-stage move. 7885. What the notes cannot tell us. The gaps in this data set, and the three questions to add to every win/loss debrief going forward so the next pass is sharper. 789 790[PASTE WIN/LOSS NOTES]`},{title:"The Jobs-to-Be-Done Extractor",prompt:`You are extracting segmentation raw material from voice-of-customer documents. My company is [COMPANY]. We sell [PRODUCT/SERVICE] to [MARKET]. Below I am pasting [NUMBER] documents: customer interviews, win-loss call notes, and churn interviews. 791 792Work through them and produce four outputs: 793 7941. JOBS INVENTORY. Every distinct job-to-be-done, stated as: "When [situation], they need to [job], so they can [outcome]." Under each, the exact customer quotes that support it, tagged by document. Keep near-duplicates separate; merging happens in the clustering step, not here. 7952. TRADE-OFF INVENTORY. Every trade-off a customer revealed: what they will give up (price, speed, features, service depth, integration effort, risk) to get something they value more. One line each, with the supporting quote. 7963. FREQUENCY TABLE. Each job and trade-off with a count of how many distinct customers voiced it. 7974. WEAK-SIGNAL FLAGS. Anything voiced by only one customer, marked clearly. I will not build a segment on one loud voice. 798 799Rules: use only what is in the documents. If you infer rather than quote, mark it INFERRED. Do not editorialize about what the segments should be. That is the next step. 800 801DOCUMENTS: 802[PASTE 15-20 INTERVIEW TRANSCRIPTS, WIN-LOSS NOTES, AND CHURN INTERVIEWS]`},{title:"The Segmentation Survey Writer",prompt:`You are writing a needs-based segmentation survey for [COMPANY], which sells [PRODUCT/SERVICE] to [TARGET MARKET]. The respondent is [WHO ANSWERS: TITLE, FUNCTION, COMPANY PROFILE]. I will field it through [MY OWN LIST / A PANEL VENDOR / IN-PRODUCT INTERCEPT]. 803 804Here is the jobs and trade-off inventory extracted from real customer interviews: 805[PASTE THE JOBS INVENTORY AND TRADE-OFF INVENTORY FROM THE EXTRACTOR PROMPT] 806 807Build the survey in five blocks: 8081. SCREENER. 3 to 5 questions that disqualify respondents outside [TARGET MARKET DEFINITION], written so the passing answer is not obvious. 8092. MAXDIFF. Convert the jobs inventory into 12 to 16 MaxDiff items: short, parallel phrasing, one idea each. Lay out the design: how many screens, items per screen, and how many times each item appears. 8103. IMPORTANCE VS. SATISFACTION. A grid for the top needs: rate importance and current-solution satisfaction on the same scale, so I can find high-importance, low-satisfaction gaps. 8114. TRADE-OFF FORCERS. 4 to 6 questions that force a choice between the trade-off pairs in my inventory (example: faster deployment vs. deeper customization). No "both matter equally" escape option. 8125. CLASSIFIERS. Role, company size, current solution, and spend-band questions at the end, so segments can be found in the wild later. 813 814Then tell me: the minimum usable sample size for clustering, the sample size that makes the read solid, and the two questions most likely to produce junk data and why. 815 816Keep every question under 25 words. Use only vocabulary the respondent uses.`},{title:"The Segment Clusterer and Namer",prompt:`You are running the clustering step of a needs-based segmentation for [COMPANY], which sells [PRODUCT/SERVICE] to [MARKET]. 817 818Input: [PASTE EITHER (A) THE JOBS + TRADE-OFF INVENTORY WITH FREQUENCY COUNTS, OR (B) A RAW SURVEY EXPORT AS CSV, ONE ROW PER RESPONDENT]. Firmographics I have per customer or respondent: [PASTE, OR WRITE "NONE"]. 819 820Do this: 8211. Identify the needs and trade-off variables that actually differentiate customers. Discard variables everyone agrees on; a universal need defines the market, never a segment. 8222. Propose three candidate schemes: coarse (3-4 segments), medium (4-5), fine (6-7). For each scheme, define every segment by the needs and trade-offs that make it distinct. 8233. Recommend one scheme and defend the choice in one paragraph: distinctness, reachability, and whether a sales rep could tell members apart on a first call. 8244. For each segment in the recommended scheme, write: a two-word name that describes the need (never the demographic), a one-paragraph persona in plain language, its 3 to 5 defining needs, its defining trade-off, and the single discovery question that identifies a member. 8255. Stress-test: name the two segments most likely to be confused with each other and the one question that separates them. If no question separates them, merge them and say so. 826 827Do not pad the scheme to look thorough. If the honest answer is three segments, give me three.`},{title:"The Segment Sizing Model",prompt:`You are building the sizing model for a customer segmentation. Company: [COMPANY]. Total revenue: [$X]. 828 829Segment definitions: 830[PASTE THE SEGMENT NAMES, PERSONAS, AND DEFINING NEEDS FROM THE CLUSTERING PROMPT] 831 832My customer data: 833[PASTE CSV OR TABLE: CUSTOMER, ANNUAL REVENUE, MARGIN OR COST-TO-SERVE IF AVAILABLE, PLUS FIELDS THAT HINT AT SEGMENT MEMBERSHIP: INDUSTRY, USE CASE, PRODUCTS OWNED, SUPPORT VOLUME] 834 835What I know about the total market: 836[PASTE MARKET COUNTS, TAM ESTIMATES, OR INDUSTRY-REPORT FIGURES, WITH SOURCES] 837 838Produce: 8391. ASSIGNMENT. Map each customer to a segment using the hint fields. Mark low-confidence assignments and name the field that would resolve each one. 8402. CURRENT-BASE TABLE. Per segment: customer count, revenue, revenue share, and margin quality where the data supports it. 8413. MARKET TABLE. Per segment: estimated count of companies that fit, estimated revenue potential, and my current penetration. 8424. ASSUMPTIONS BLOCK. Every assumption the model rests on, numbered, each with a sensitivity note: if this assumption is off by half, what changes. 8435. THE GAP READ. The two segments where potential most exceeds my current share, and the one segment where I am over-invested relative to its potential. 844 845Rules: never present a market estimate without its assumption number. Where my data cannot support a cell, write UNKNOWN. Do not interpolate.`}],C1e=[{title:"The Serve-or-Walk Decision Brief",prompt:`You are drafting the targeting decision brief that ends a segmentation project. Company: [COMPANY]. 846 847The sized segmentation: 848[PASTE THE CURRENT-BASE AND MARKET TABLES FROM THE SIZING PROMPT] 849 850Constraints I operate under: 851[SALES TEAM SIZE AND STRUCTURE, PRODUCT ROADMAP COMMITMENTS, DELIVERY CAPACITY, ANY BOARD OR OWNER MANDATES] 852 853My top 20 accounts, tagged by segment: 854[PASTE LIST] 855 856For each segment, produce a one-page brief: 8571. A verdict: SERVE AND GROW, HOLD, or EXIT, plus a ranked targeting priority across all segments. At least one segment must rank last, and you must nominate a hold or exit candidate even if the case is close. I can overrule a recommendation; I cannot overrule a tie. 8582. The argument, five sentences or fewer, grounded in the sizing numbers. 8593. What the verdict forces: coverage changes, incentive changes, roadmap implications, and which of my top 20 accounts are affected. 8604. The revenue at risk if we deprioritize, stated plainly. 8615. The three hardest objections my exec team will raise, each with the counter or the honest concession. 862 863Close with the single decision I must make in the next 30 days for this segmentation to change anything, and what happens if I do n
863ot make it.`},{title:"The Profit-Pool Mapper",prompt:`I want a profit-pool map of the [INDUSTRY] value chain: a table showing, for each step in the chain, its share of total industry revenue and its operating margin, so I can see where the profit sits versus where the revenue is. 864 865My company: [COMPANY NAME, WHAT YOU DO, ROUGH ANNUAL REVENUE]. We operate at the [VALUE-CHAIN STEP(S) YOU OCCUPY] step. 866 867Source material, pasted or attached below: 868[PASTE: excerpts from 3-5 annual reports or 10-Ks of companies at different steps of the chain, trade-association revenue data if you have it, and any analyst or industry coverage you can find] 869 870Work in this order: 8711. Define the value chain. Break [INDUSTRY] into 5 to 9 discrete steps from raw input to end customer. Name 2-3 representative public companies per step. If a step has no pure-play public company, say so and name the closest proxy segment inside a diversified filer. 8722. Estimate total industry revenue and each step's share of it. Show the source or the logic behind every number. Where you are inferring rather than citing, label the figure INFERRED and give a range, never a false-precision point estimate. 8733. Estimate operating margin per step from the representative companies' financials. Where a filer spans multiple steps, adjust for segment mix and state the adjustment you made. 8744. Reconcile. Revenue shares must sum to roughly 100% of the industry total, and the implied total profit pool must be sane against reported industry profits. Flag any step where reconciliation forced you to revise an estimate. 8755. Output the profit-pool table: step, revenue share %, operating margin %, absolute profit pool $, share of total industry profit. Rank the steps by profit share. 8766. Write a one-page narrative: where the money actually is, where it is thin, which step captures profit out of proportion to its revenue, and the two or three structural reasons why (pricing power, concentration, switching costs, regulation, capital intensity). 8777. Confidence audit. List your five weakest estimates, what evidence would firm each one up, and whether firming it up could change the ranking in step 5. 878 879Do not smooth over data gaps. Label every gap and keep going.`},{title:"The Position Audit",prompt:`I have a profit-pool map of my industry (pasted below) and I want to know exactly where my company sits in it and how well we capture the pools we touch. 880 881The profit-pool map: [PASTE THE TABLE FROM THE PROFIT-POOL MAPPER, OR ANY REVENUE/MARGIN-BY-STEP DATA YOU HAVE] 882 883My company's financials: [PASTE YOUR P&L OR SUMMARY: revenue by product/service line, gross margin by line if you have it, operating margin overall] 884 885How our revenue lines map to value-chain steps, as best I understand it: [E.G. 'our distribution segment = the wholesale step; our service contracts = the aftermarket step'] 886 887Produce: 8881. A position table: for each value-chain step, whether we participate, our revenue in that step, our estimated margin in that step, the step's industry-average margin, and the gap. 8892. Our capture ratio per step: our share of that step's total profit pool versus our share of its revenue. Tell me where we punch above our weight and where we are leaving money on the table. 8903. The exposure read: what percentage of our total profit comes from steps that are shallow (below-average margin) versus deep. If most of our profit sits in a shallow pool, say so bluntly. 8914. The three adjacent steps where our existing assets (customer relationships, data, physical footprint, contracts) would travel best, with the honest obstacles for each. 8925. Questions you could not answer from my data, listed so I can pull the right internal numbers next pass. 893 894Where my line-to-step mapping looks wrong or too coarse, challenge it before you compute anything on top of it.`},{title:"The Margin Migration Tracker",prompt:`I want to know whether profit in the [INDUSTRY] value chain is migrating, in which direction, and how fast. 895 896Use the same value-chain steps as this map: [PASTE THE STEP DEFINITIONS OR THE FULL POOL TABLE] 897 898Source material from two points in time: 899[PASTE: financials or 10-K excerpts for the representative companies from roughly 5 years ago, e.g. FY[YEAR]] 900[PASTE: the same companies' most recent financials, FY[CURRENT YEAR]] 901 902Produce: 9031. A two-vintage table: for each step, revenue share and operating margin then versus now, with the delta in both. 9042. The migration verdict: which steps gained profit share, which lost it, and whether the movement is upstream, downstream, or toward a step that barely existed five years ago. State the verdict in one sentence before you explain it. 9053. Driver analysis per moving step: is the shift driven by pricing, consolidation, technology substitution, regulation, or input costs? Cite the evidence from the filings that supports each driver, and say where you are speculating. 9064. A five-year extrapolation, clearly labeled as scenario rather than forecast: if the current drivers hold, what does the pool table look like in [YEAR+5]? Then name the one assumption most likely to break. 9075. The 'so what' for a company sitting at the [YOUR STEP] step: are we in the path of the migration or in its wake, and what is the earliest visible indicator that would confirm it either way? 908 909Where the two vintages are not comparable (restatements, changed segment definitions, M&A), flag it rather than forcing the comparison.`},{title:"The Triangulation Auditor",prompt:`Below is a profit-pool analysis of the [INDUSTRY] value chain. It came from [SOURCE: a consulting deck / our internal strategy team / a banker's industry primer / my own earlier session with you]. Before anyone in my company acts on it, I want it stress-tested the way a skeptical senior partner would. 910 911The analysis: [PASTE THE POOL TABLE, THE STEP DEFINITIONS, AND ANY STATED SOURCES OR FOOTNOTES] 912 913Any underlying data I have access to: [PASTE FILINGS, DATA EXCERPTS, OR WRITE 'none, the chart is all I was given'] 914 915Run five checks and report each as PASS, FAIL, or CANNOT VERIFY: 9161. Reconciliation. Do the revenue shares sum to the industry total? Does the implied total profit pool square with reported industry profits? Show the arithmetic. 9172. Sourcing. For each material number, is there a stated source, and is it the kind of number that source could actually produce? Flag every figure that has no visible provenance. 9183. Segment-mix distortion. Where a step's margin was proxied from a diversified company, could the proxy's other segments be polluting the estimate? Name the specific companies where this risk is highest. 9194. Vintage. How old is the underlying data, and has anything since (a major merger, a regulatory change, an input-cost shock) plausibly moved the pool? List the events I should check. 9205. Convenient conclusions. Does the analysis happen to justify what its author was selling? Identify any step where the estimate leans in the direction of the author's interest, and what an adversarial estimate would look like. 921 922Then give me: the three findings most likely to change a decision if corrected, and the three cheapest actions (a specific filing to pull, a trade dataset to buy, an expert to call) that would tighten the analysis the most.`}],E1e=[{title:"The Adjacent-Pool Scanner",prompt:`I want to see the profit pools one step upstream and one step downstream of my company, so I can tell where the dollars I spend and the dollars I collect end up as someone else's profit. 923 924My company: [NAME, INDUSTRY, ROUGH REVENUE, YOUR STEP IN THE CHAIN
924]. 925My largest supplier categories and roughly what I spend on each per year: [E.G. 'contract manufacturing ~$40M, logistics ~$12M, packaging ~$8M']. 926My customer types and roughly what each contributes to revenue: [E.G. 'big-box retail 60%, distributors 30%, direct 10%']. 927 928Source material on those adjacent industries: [PASTE: filings or public financials for your major suppliers and customers, or their closest public comparables] 929 930Produce: 9311. An upstream pool table: for each supplier category, the supplier industry's typical operating margin, the margin of my specific suppliers or their comparables, and my estimated annual contribution to their profit in dollars. 9322. A downstream pool table: same structure for each customer type. What margin do they earn on the products or services they buy from me, and how much of their profit do I effectively fund? 9333. The imbalance read: rank every adjacent pool by margin. Show me in one table where I sit relative to the parties I buy from and sell to. If I am the thinnest margin in my own neighborhood, say it plainly. 9344. Structural explanations: for the two richest adjacent pools, why are they rich (concentration, switching costs, information advantage, contract structure), and which of those advantages is durable versus contestable? 9355. Contestability list: the specific levers available to me short of full integration, such as dual-sourcing, contract renegotiation at [NEXT RENEWAL DATE], selective disintermediation of one customer segment, or building the capability in-house for one product line. For each lever, the realistic margin capture and what it puts at risk. 936 937Separate what the numbers show from what you are guessing. I will act on the first and verify the second.`},{title:"The Option-Set Generator",prompt:`You are a strategy partner building a set of strategic options for a leadership team. Here is our situation: 938 939Company: [one paragraph: what you sell, to whom, revenue, margin profile] 940Market: [what is changing: demand, competitors, technology, regulation] 941Constraints: [balance sheet, debt, talent, ownership structure, anything off the table] 942Ambition: [what the CEO actually wants: growth target, exit, margin, survival] 943Time horizon: [e.g., 3 years] 944 945Generate exactly four strategic options. They must be mutually exclusive: choosing one must foreclose the others. For each option give me: 946 9471. Thesis in one sentence: the bet this option makes about the world. 9482. The five moves it requires, in sequence. 9493. Investment: order-of-magnitude capital and people, and where it comes from. 9504. Risk: the two things most likely to kill it. 9515. What has to be true for this option to win. Specific enough that we could test each condition. 9526. Expected payoff if it works, and what year it shows up in the P&L. 953 954Then check your own work. If any two options could be run at the same time by the same team, they are variations of one option. Merge them and generate a genuinely different replacement. One of the four should be the option you suspect this leadership team does not want to hear.`},{title:"The Distinctness Audit",prompt:`Here are the strategic options currently on our table: 955 956[paste your options, however rough: bullets, a memo, slides converted to text] 957 958Audit them for false distinctness. For every pair of options, answer one question: could the same leadership team execute both simultaneously without contradiction? If yes, they are one option wearing two names. Show me exactly where they overlap: shared assumptions, shared investments, shared customers, shared risks. 959 960Then rebuild the set. Force real separation on three axes: where we play, how we win, and what we stop doing. Every option must require killing something the other options keep. If an option demands no sacrifice, it is a wish, and you should say so. 961 962Finally, name the option missing from this set: the one a rational outsider would propose that nobody inside the company will. Build it out with the same structure as the rest. Do not soften it.`},{title:"The Three Horizons Mapper",prompt:`Map our initiatives and strategic options onto McKinsey's Three Horizons of Growth (Baghai, Coley, and White, The Alchemy of Growth, 1999). Horizon 1 defends and extends the core business. Horizon 2 scales emerging businesses. Horizon 3 seeds future options. 963 964Core business: [what it is, growth rate, margin trend] 965Everything we are currently funding or considering: [list each initiative, project, and strategic option with rough annual spend and headcount] 966 967For each item: assign a horizon and justify the assignment in one sentence. Flag anything that is really Horizon 1 maintenance dressed up as Horizon 2 innovation. That is the most common self-deception and I want it named per item. 968 969Then total spend by horizon and show me the split. Compare it against the common rule of thumb of roughly 70/20/10 across the three horizons (a popular heuristic, not official McKinsey doctrine) and tell me what our imbalance says about us. If Horizon 3 is empty, propose three seeds that fit our existing capabilities, each testable for under [$ amount]. If Horizon 1 is starving, say so plainly. Defense funds everything else.`},{title:"The First-Cut Business Case",prompt:`Build a first-cut business case for each of these strategic options: 970 971[paste your option set] 972 973Baseline financials: [current revenue, gross margin, EBITDA, growth rate] 974Planning assumptions we already use: [hurdle rate or WACC, planning horizon, any board-mandated constraints] 975 976For each option, build a simple model in a table: year-by-year revenue impact, cost to execute, EBITDA effect, and cumulative cash position over [5] years. State every assumption you make in a numbered list, ranked by how much the outcome moves if the assumption is wrong. 977 978For the top three assumptions per option, define the cheapest real-world test that would confirm or kill the assumption within 90 days: what we do, what we measure, what result kills it. 979
980Then give each option a kill condition: the observable signal that means we stop, and the sunk cost at that point. I care about what each option costs us to find out it was wrong. That number matters more than the upside case.`}],_1e=[{title:"The Recommendation Forcer",prompt:`We have narrowed to these strategic options: 981 982[paste the final option set, with business cases if you have them] 983 984Decision context: [who decides, what the board cares about, what happened the last time we made a bet this size] 985My current lean: [the option you privately favor and why, be honest] 986 987Force a recommendation. Rank the options and pick one. Write the recommendation the way a senior partner delivers it: the choice, the three reasons, the single biggest risk and how we manage it, and the first 90 days of moves. 988 989Then do the harder part. Write the case against each rejected option in the voice of its strongest internal advocate, the actual argument that person will make in the room, and give me the response to each. 990 991Separately, pressure-test my lean. List the ways my stated preference could be motivated reasoning (sunk cost, career risk, familiarity) and tell me whether your recommendation survives if you strip my lean out of the inputs entirely. If your recommendation differs from my lean, say so in the first sentence.`},{title:"The Willingness-to-Pay Survey Builder",prompt:`You are a pricing researcher designing willingness-to-pay instruments. My product: [describe the product or service, what it does, who buys it]. Current price: [price and unit, e.g. $499 per user per year]. Segments I care about: [list 2-4 segments, e.g. SMB, mid-market, enterprise]. Where the survey will run: [email to existing customers / research panel / in-app]. 992 993Build me: 9941. A Van Westendorp price-sensitivity instrument: the four standard questions (too cheap, a bargain, getting expensive, too expensive) worded for my product, plus screener questions that confirm the respondent actually buys in this category and a segment classifier so I can cut results by segment. 9952. A Gabor-Granger sequence: a purchase-intent ladder at [5-7] price points bracketing my current price from [low bound] to [high bound], with randomized starting points to control for anchoring. 9963. Field guidance: minimum sample per segment for stable estimates, question order, and the three most common ways these instruments get biased, with the exact wording that avoids each. 997 998Write every question verbatim, ready to paste into my survey tool. Van Westendorp and Gabor-Granger are standard published market-research methods. Use the textbook versions, adapted only in wording for my product.`},{title:"The Demand-Curve Estimator",prompt:`I fielded Van Westendorp and Gabor-Granger pricing surveys. Here are the raw responses: [paste or attach a CSV: one row per respondent, columns for segment, the four Van Westendorp price answers, and purchase intent at each Gabor-Granger price point]. Current price: [X]. Unit economics: [gross margin % or variable cost per unit]. 999 1000Do the analysis: 10011. Van Westendorp: build the four cumulative curves and give me the point of marginal cheapness, the point of marginal expensiveness, the optimal price point, and the indifference price point, per segment and overall. 10022. Gabor-Granger: build the demand curve per segment, then the revenue curve and the gross-profit curve using my margin, and mark the revenue-maximizing and profit-maximizing prices. 10033. Reconcile the two methods: where they agree, where they diverge, and the price range I can actually defend. 10044. Flag data problems: respondents whose answers are internally inconsistent (too-cheap above too-expensive), segments with thin sample, and how much confidence each estimate deserves. 1005 1006Give me the numbers in tables, then a one-page read: what price the data supports, by segment, and what staying at [current price] costs me per year at [current volume].`},{title:"The Good-Better-Best Architect",prompt:`Design a good-better-best price architecture for my business. What I sell today: [current packages and prices]. The full feature and service list: [everything, including things you currently give away free]. Segments and what each values: [segment, what they need most, roughly what they will pay, from survey work or from your gut]. Deals I keep losing and why: [2-3 recent examples]. 1007 1008Build: 10091. Three tiers with names, price points, and exactly which features sit in each. Every feature placement must do one of two jobs, drive upgrade or protect margin, and
1009you will tell me which job each placement does. 10102. The fences: eligibility rules that stop a large customer buying the cheap tier (seat minimums, usage caps, support levels, contract terms), plus the two or three fences that will take the most sales pressure and why. 10113. Add-ons and bundles: what stays out of all tiers and sells separately, and which bundle discounts make sense at what depth. 10124. Migration: how current customers map to the new tiers, who gets grandfathered and for how long, and the expected revenue change from the shuffle at [assumed take rates, e.g. 60/30/10]. 1013 1014Show the architecture as a single table I can put in front of my leadership team, then the reasoning underneath it.`},{title:"The Pocket-Price Waterfall",prompt:`Build a pocket-price waterfall from my transaction data. Attached: [transaction export: one row per invoice line, with list price, invoice price, and every discount field you have: standard discount, negotiated discount, rebates, promotions, payment-terms discounts, freight. Include customer, rep, product, region, and date. Add cost-to-serve fields if you have them: expedited freight, support hours, returns]. 1015 1016Do this: 10171. Build the waterfall: list price down through every deduction to pocket price, averaged across the book, shown as a % of list at each step. 10182. Show the pocket-price band: the distribution of pocket price across transactions for the same product. Give me the spread between the 10th and 90th percentile, in dollars and points of margin. 10193. Rank the leaks: which deduction costs the most in aggregate, and whether it concentrates in specific customers, reps, regions, or deal sizes. 10204. Name names: the 20 deals and 5 reps furthest below the band median, and for each, what pricing at the median would have been worth. 10215. Size the prize: total annual margin recovered if the bottom quartile of transactions moved to the current median pocket price. Show the math. 1022 1023Tables first, then a one-page summary I can bring to a pricing review this week.`}],P1e=[{title:"The One-Percent Plan",prompt:`McKinsey's Marn and Rosiello published in HBR in 1992 (Managing Price, Gaining Profit) that a 1% improvement in realized price lifts operating profit by about 11% for the average company. Build me the plan to capture 1 to 3 points of realized price on my book. 1024 1025My numbers: [revenue, operating profit, gross margin %]. My pricing situation today: [when you last raised prices and how it went, discount approval rules if any, % of revenue on legacy or grandfathered pricing, contract renewal terms, annual escalator clauses or lack of them]. Constraints: [contracts locked until renewal, competitive accounts I will not touch, channel commitments]. 1026 1027Give me: 10281. My version of the 11% math: what each point of realized price is worth to my operating profit line, computed from my numbers, so I stop quoting someone else's average. 10292. The standard realized-price moves (list increase, discount floor, approval escalation, surcharge recovery, legacy-price catch-up, term tightening, annual escalators, mix steering) ranked for my situation by margin impact, speed, and churn risk. 10303. For the top three: the specific mechanics, who has to approve, the customer communication, and the rep talk track for the pushback that will come. 10314. A 90-day sequence with expected margin capture per move and the leading indicator that tells me churn is running above plan, so I know when to slow down. 1032 1033Be specific with the numbers. I am going to pressure-test every one.`},{title:"The Value-Driver Tree Builder",prompt:`You are a corporate finance analyst building a MECE value-driver tree for [COMPANY], a [INDUSTRY] company with roughly [REVENUE] in annual revenue and [EBITDA] in EBITDA. 1034 1035Here are my P&L lines: [PASTE 15-25 LINES: revenue by segment or product, COGS components, gross margin, major SG&A buckets, D&A] 1036Here are my balance sheet lines: [PASTE: receivables, inventory, payables, PP&E, annual capex] 1037 1038Build a value-driver tree that decomposes enterprise value into growth and return on invested capital, then breaks ROIC into revenue drivers, margin drivers, working c
1038apital, tax, and capital intensity. Rules: 10391. Every branch must be mutually exclusive and collectively exhaustive. Flag any line you could not place cleanly. 10402. Go at least three levels deep on margin and working capital. 10413. At each leaf, state the operational lever a manager could actually pull, and which function in the org owns it. 10424. Show the arithmetic linking each leaf back to EBITDA, using my actual numbers. 10435. End with the three leaves where a 5% improvement moves EBITDA the most, ranked, with the dollar impact calculated and the calculation shown. 1044 1045Present the tree as indented text I can paste into a document, then the ranked table.`},{title:"The DCF Baseline",prompt:`Act as a valuation analyst. Build a DCF baseline for [COMPANY] with every assumption exposed. 1046 1047Inputs: 1048- Last 3 years: revenue [X], EBITDA [X], capex [X], depreciation [X], change in net working capital [X], cash taxes [X or effective tax rate] 1049- Net debt today: [X] 1050- My view of the next 5 years: revenue growth [X% per year], EBITDA margin trajectory [DESCRIBE] 1051- Cost of capital inputs if I have them: [risk-free rate, beta or a comparable public company, cost of debt, target debt/equity mix]. If I left these blank, use standard mid-market assumptions and label every one as your default. 1052 1053Build: 10541. A 5-year free-cash-flow projection with each line's formula written out next to the number. 10552. The WACC calculation shown step by step. 10563. Terminal value computed both ways: perpetuity growth at [X%, default 2.5%] and an exit multiple of [X, default a defensible range for my industry]. Show what percent of total value sits in the terminal. 10574. Enterprise value and implied equity value. 10585. Then re-run the DCF with the improved EBITDA from my bridge: [PASTE BRIDGE SUMMARY OR TARGET EBITDA AND TIMING]. State the value of the improvement case as one number: the difference in enterprise value between the two runs. 1059 1060Put every assumption in a single table at the top of your answer so my CFO can challenge them in order.`},{title:"The Sensitivity Engine",prompt:`Here is my business case model: [PASTE THE DRIVER TREE, BRIDGE, AND DCF OUTPUT FROM THE EARLIER PROMPTS, OR YOUR OWN NUMBERS] 1061 1062Run sensitivity and scenario analysis on it: 10631. One-at-a-time sensitivity: flex each of these drivers by plus and minus 10% and 20%: [LIST 5-8 DRIVERS, e.g. price, volume, churn, labor cost per unit, initiative ramp speed]. Show the EBITDA and valuation impact of each flex in a ranked table, biggest swing first. 10642. Tell me plainly which two or three drivers dominate the outcome, and which drivers I can stop arguing about because they barely move the number. 10653. Build three scenarios with named, internally consistent assumption sets: 1066 - Base: exactly what I gave you. 1067 - Downside: [DESCRIBE, e.g. recession, loss of the largest customer, initiative ramps slip 12 months] 1068 - Aggressive: [DESCRIBE, e.g. pricing action lands, churn fix works in year one] 10694. For each scenario give ending EBITDA, the valuation, and the single assumption that scenario lives or dies on. 10705. Finish with the break-even question: how far can [MOST CONTESTED DRIVER] deteriorate before the case stops clearing [HURDLE, e.g. our 15% IRR threshold]? Show the algebra.`}],T1e=[{title:"The CFO Red Team",prompt:`You are the most skeptical CFO I have ever presented to. Your job is to break this business case before my real CFO does. 1071 1072Here is the full case: [PASTE THE DRIVER TREE, THE BRIDGE, THE DCF, AND THE SIZED PRIZE] 1073 1074Attack it: 10751. Hunt for double counting: benefits claimed under two initiatives, or savings already baked into the operating budget as productivity assumptions. 10762. Flag every benefit with no named owner or no mechanism: any number that has no answer to "what specifically changes on Monday morning." 10773. Audit cost to achieve: severance, systems, external help, backfill, management attention. If it looks light, estimate by how much and show your reasoning. 10784. Test the ramps: mark any initiative assumed to reach run rate inside 12 months and tell me the base-rate reality for that category of change. 10795. Question the baseline: does the do-nothing case pretend the business holds flat while it is actually eroding, or does it quietly claim improvement that would have happened anyway?
10806. Restate the case at the number you would actually sign: your conservative EBITDA and valuation, with every haircut itemized and justified. 1081 1082Write it as a memo I would hate to receive. Rank the objections by how much money each one takes off the table.`},{title:"The Weight Stress-Tester",prompt:`Here is my current nine-box model: the criteria, weights, full score table, and resulting grid placements. [paste the output from your nine-box pass, or attach the file] 1083 1084Stress-test it. Run four scenarios and re-place every unit under each: 1085 10861. Sensitivity sweep: move each axis weight up and down by [10] points, one factor at a time, holding the rest proportional. List every unit whose cell changes under any single move. 10872. Growth-biased weighting: shift the attractiveness axis so market growth carries [40]% of the weight. Re-place all units. 10883. Profitability-biased weighting: shift so margin structure and our margin-vs-peers carry the dominant weight. Re-place all units. 10894. The politics detector: tell me exactly what weighting someone would have to argue for to move [UNIT] out of [ITS CURRENT CELL] and into [DESIRED CELL], and give me your straight assessment of whether that weighting is defensible for a business like ours. 1090 1091Then report in two lists: STABLE (units that hold their cell across all scenarios; these placements are real) and FRAGILE (units that flip; name the assumption doing the work in each flip). 1092 1093Close with one paragraph: which of my current weights is carrying the most freight, and what evidence would settle whether it deserves to.`},{title:"The Growth-Share Grid",prompt:`Build a growth-share matrix for my product lines. 1094 1095For each line: [PRODUCT LINE: our revenue, revenue growth last 12 months, our estimated market share, the largest competitor's estimated share or revenue] 1096 1097Market context: [overall market growth rate, or the growth threshold you consider 'high' for this industry; default to 10% if I give you nothing] 1098 1099Do this: 11001. Compute relative market share for every line (our share divided by the largest competitor's share). Show the arithmetic. 11012. Place each line in the four quadrants: high growth/high relative share, high growth/low share, low growth/high share, low growth/low share. Render as a markdown grid with revenue noted per line. 11023. For each line, describe its cash behavior in plain language: does it fund the portfolio, consume cash to hold position, or drain cash with no path to leadership. Then give the standard posture (grow, invest to win, milk, exit) and say whether you would follow it here or deviate, and why. 11034. Flag where the model's core assumption breaks for my business. Relative share only predicts profitability where scale drives cost advantage. If any of my lines compete on something scale does not buy (relationships, regulatory position, niche specialization), say so and mark that placement as low-confidence. 11045. End with the portfolio-level cash picture: which lines are funding which, and whether the funding lines can carry the consuming lines at their current growth rates.`},{title:"The Harvest-or-Divest Brief",prompt:`One of my units landed in the harvest-or-divest band. Write me the decision brief. 1105 1106The unit: [name, revenue, margin, growth trend over 3 years, headcount, why it scored low on the grid] 1107 1108Entanglements, and be exhaustive here: [shared systems it runs on, shared customers or contracts that bundle it with other units, shared facilities, key people who also serve other units, any parent guarantees or brand dependencies] 1109 1110Exit context: [plausible buyer types if any, whether competitors have acquired similar assets, any prior inbound interest, contractual or regulatory constraints on a sale] 1111 1112Produce, in order: 11131. HARVEST plan: cut investment to maintenance level, run for cash. Estimated 12-month and 36-month cash picture, what breaks first as investment stops, and the trigger event that would tell me harvesting has run its course. 11142. DIVEST plan: realistic exit routes ranked (trade sale, sponsor, management buyout, wind-down), a defensible valuation range with your method stated as illustrative, and the stranded-cost analysis: every shared cost that stays with me after the unit leaves, itemized. 11153. The ten questions any serious buyer will ask in the first meeting, with my current best answer to each and a flag on the answers that will hurt the price. 11164. Side-by-side: 3-year cash and management-attention comparison of harvest vs. divest vs. the do-nothing default. 11175. Your recommendation in one paragraph, stated plainly, with the single factor that most drives it. 1118 1119Rule: the stranded-cost section is where these analyses usually flatter the seller. Be pessimistic there.`}],D1e=[{title:"The Customer Portfolio Nine-Box",prompt:`Run a nine-box on my customer portfolio. Same mechanics as a business-unit grid, but the axes are account attractiveness and strength of our position. 1120 1121Context: [company, what we sell, total revenue, rough gross margin] 1122 1123Accounts or segments to score, one block each: 1124[ACCOUNT/SEGMENT: annual revenue to us, revenue trend over 2 years, estimated margin or cost-to-serve if known, our share of their total spend in our category if known, relationship depth (single contact vs. multi-level), contract status and renewal date, any concentration or payment-behavior concerns] 1125 1126Step 1: Propose the criteria. Account attractiveness: 4-5 weighted factors (account size and growth, margin quality, strategic or reference value, risk profile). Strength of position: 4-5 weighted factors (share of wallet, relationship depth, switching costs in our favor, competitive presence in the account). Weights sum to 100 per axis, one line of reasoning each. Stop for my sign-off. 1127 1128Step 2: Score every account 1-9 per factor with the math shown. Mark thin-data scores [ESTIMATE]. 1129 1130Step 3: Place accounts on the grid and assign each a posture: GROW (invest sales and service capacity), DEFEND (protect share of wallet, deepen relationships before renewal), REPRICE (attractive account, weak economics for us), or RELEASE (let a competitor win it). 1131 1132Step 4: The cost-to-serve overlay. Using whatever I gave you on service intensity, flag every account whose demands on my organization are out of proportion to its grid position, especially any account in the top-revenue five that lands outside the GROW
1132cells. 1133 1134Step 5: Close with the three moves the grid most clearly supports, each with the account named, the action, and what I should expect to change in 12 months.`},{title:"The Current-State Mapper",prompt:`You are helping me build a current-state operating model map for [FUNCTION OR BUSINESS UNIT] at a [INDUSTRY] company doing roughly [ANNUAL REVENUE]. 1135 1136I'm going to brain-dump how work actually gets done here, including the workarounds nobody writes down. Turn it into a structured map. 1137 1138The dump: [PASTE EVERYTHING: how work flows end to end, who touches what, which systems people use and which they route around, where handoffs break, the spreadsheets and email threads holding things together, what gets escalated and to whom, what gets decided twice] 1139 1140Produce five sections: 11411. PROCESS INVENTORY. Every distinct process I described: name, owner, trigger, inputs, outputs, rough cycle time if I gave one. Flag any process with no clear owner in bold. 11422. ROLES SNAPSHOT. Who does what. Call out anywhere the same work happens in two places, and any role that exists mainly to move information between systems. 11433. SYSTEMS MAP. Each system: what it was bought for, what it is actually used for, and every place a spreadsheet, inbox, or chat thread is doing a system's job. 11444. HANDOFF TABLE. Every handoff: from whom, to whom, what breaks there, and the workaround currently covering for it. 11455. GOVERNANCE READOUT. How decisions get made today: which decisions have a clear owner, which have none, which get re-made after they were already made. 1146 1147Tag every line [STATED] if I told you or [INFERRED] if you deduced it. Close with the 10 questions that would most improve this map if I answered them.`},{title:"The Org Design Option Generator",prompt:`Design three future-state org structure options for [FUNCTION OR BUSINESS UNIT]. 1148 1149Context: 1150- Current structure: [PASTE OR DESCRIBE: layers, teams, headcount by team, reporting lines] 1151- What the structure must deliver over the next 2 years: [TOP 3 PRIORITIES WITH NUMBERS, e.g., cut order-to-cash cycle time 30%, absorb 2x volume without adding headcount, stand up a pricing capability] 1152- Where the current structure fails: [BE SPECIFIC: which decisions are slow, which work is duplicated, which processes are orphaned, where spans are too wide or too narrow]
1153- Constraints: [WHAT CANNOT CHANGE: key people, union rules, systems, budget, geography] 1154 1155Make the three options genuinely different: one functional design, one process-aligned or value-stream design, one hybrid. For each option give me: 11561. The structure: teams, reporting lines, spans, layers. Draw it in indented text. 11572. The design logic: which of my priorities it serves and the mechanism by which it serves them. 11583. What it fixes from my failure list, item by item. 11594. What it breaks: the new seams it creates, the decisions that get harder, the people whose jobs change most. 11605. Migration difficulty, 1 to 5, with the two hardest moves named. 1161 1162Then pick one given my constraints and defend the pick in one paragraph. Do not hedge with "it depends."`},{title:"The Decision-Rights Charter Builder",prompt:`Build me a decision-rights charter for [FUNCTION OR BUSINESS UNIT]. 1163 1164Here are the decisions that are slow, contested, or keep getting re-made: [LIST 10 TO 20 REAL DECISIONS WITH THRESHOLDS WHERE THEY EXIST, e.g., pricing exceptions over 5%, vendor contracts over $250K, backfill approvals, changes to the production schedule inside 48 hours, customer credits over $10K] 1165 1166Here is who touches these decisions today: [ROLES AND STANDING MEETINGS CURRENTLY INVOLVED] 1167 1168Produce: 11691. A decision-rights table. For each decision: one Decider (a single role, never a committee), who gives Input, who holds a Veto and on what narrow grounds, who gets Informed. Wherever a committee decides today, propose the single role that should own it and say why. 11702. Threshold design: where a dollar or risk threshold should split a decision into "team decides" vs. "escalate," with the specific number you would set and your reasoning. 11713. A forum audit: given this table, which of my current meetings still need to exist, which shrink to 15-minute informs, and which die. Name them. 11724. An escalation path: when the Decider and a Veto-holder disagree, where it goes and how fast it must resolve. Give a clock, in days. 11735. The five decisions on my list where moving authority down one level saves the most time, ranked. 1174 1175Write it so I could publish it internally as-is.`},{title:"The Tech-and-Data Layer Sketch",prompt:`Sketch the technology and data layer of a target operating model that builds on what I already own instead of assuming a replatform. 1176 1177Current systems: [LIST EACH SYSTEM: name, what it does, roughly how old, who owns it] 1178Where the data lives: [WHICH SYSTEM HOLDS CUSTOMER, PRODUCT, FINANCIAL, AND OPERATIONAL DATA, AND WHERE THE SAME DATA LIVES IN TWO PLACES] 1179The shadow layer: [THE SPREADSHEETS, ACCESS DATABASES, EMAIL WORKFLOWS, AND MANUAL EXPORTS THAT ACTUALLY RUN THE PLACE. DO NOT SKIP THIS.] 1180What the future-state processes need: [E.G., ONE VIEW OF A CUSTOMER, SAME-DAY QUOTE TURNAROUND, AUTOMATED HANDOFF BETWEEN SYSTEM A AND SYSTEM B] 1181 1182Produce: 11831. A current-state readout: each system, its real role, and every point where a human being is the integration. 11842. A target sketch in three layers: KEEP (systems that stay as the system of record), CONNECT (the integration and workflow layer built on top of them), RETIRE (what the connect layer makes unnecessary, including the shadow tools). Be explicit about what does NOT get replaced. 11853. A data decision list: for every piece of data living in two places, which system wins as the source of truth, and what happens to the loser. 11864. Sequencing: the order to build the connect layer in, driven by which manual integration burns the most hours today, with a rough effort size (S/M/L) per move. 11875. The three places this sketch is most likely wrong given how little you know about my environment, stated plainly.`}],O1e=[{title:"The Blueprint Assembler",prompt:`Assemble a complete target operating-model blueprint for [FUNCTION OR BUSINESS UNIT] at a [INDUSTRY] company, roughly [REVENUE] and [HEADCOUNT]. 1188 1189Inputs. Paste whatever you have; rough is fine: 1190- Current-state map: [PASTE YOUR MAP, OR THE RAW DUMP OF HOW WORK HAPPENS TODAY] 1191- Org direction: [PASTE THE STRUCTURE YOU ARE LEANING TOWARD AND WHY] 1192- Decision rights: [PASTE YOUR TABLE, OR A LIST OF WHO SHOULD DECIDE WHAT] 1193- Tech and data direction: [PASTE YOUR KEEP/CONNECT/RETIRE THINKING] 1194- The outcomes this redesign must produce: [3 TO 5 MEASURABLE OUTCOMES WITH TARGET NUMBERS AND DATES] 1195 1196Produce the full blueprint as one document: 11971. EXECUTIVE SUMMARY. The case for change in under 200 words, anchored on my outcome numbers. 11982. DESIGN PRINCIPLES. Five to seven rules the design follows, each traceable to one of my outcomes. No principle that every company would claim. 11993. FUTURE STATE BY ELEMENT. One section each for process, organization, governance and decision rights, technology and data, and the behaviors the new model requires. Specific enough that a new hire could read it and know how the place is supposed to run. 12004. GAP ANALYSIS. Current vs. future for each element, each gap sized as a small, medium, or large move.
12015. TRANSITION SEQUENCE. Days 0-90, 90-180, 180-365, in dependency order, with the single riskiest move flagged per phase. 12026. RISK REGISTER. The five ways this redesign dies, who kills it (name the role, not the person), and the countermove for each. 1203 1204Where my inputs conflict, resolve the conflict and note the call you made. Where they are silent, make the operator's best guess and mark it [ASSUMPTION].`},{title:"The Portfolio Scorer",prompt:`You are a transformation program lead scoring a portfolio of initiatives. Here is my raw list of candidates: [paste your list, one per line, with a one-sentence description of each. Rough is fine.] 1205 1206Context: [company, industry, revenue range, headcount]. Strategic goal for the next 12 months: [e.g. take $15M out of operating cost, or free up 20% of service capacity]. Constraints: [budget ceiling, headcount freeze, systems you cannot touch, regulatory limits]. 1207 1208Do the following: 12091. Define an impact scale of 1 to 5 with explicit criteria tied to my stated goal. State the dollar or capacity threshold for each level so two people scoring independently would land on the same number. 12102. Define an effort scale of 1 to 5 covering cost, duration, headcount, and change complexity. Same rule: explicit thresholds. 12113. Score every initiative on both scales. Where my description is too thin to score, score it anyway, flag the assumption you made, and list the single question that would change the score most. 12124. Sort into four buckets: quick wins (high impact, low effort), major projects (high impact, high effort), fill-ins (low impact, low effort), and deprioritize (low impact, high effort). 12135. For each initiative, write a two-sentence placement rationale I can read aloud to my leadership team and let them attack. 1214 1215Output a table: initiative, impact score, effort score, bucket, rationale, biggest open question. Then list your five least confident scores so we start the argument there.`},{title:"The Wave Sequencer",prompt:`Take my scored initiative portfolio and sequence it into execution waves. 1216 1217Portfolio: [paste your scored list: initiative, impact 1-5, effort 1-5, estimated annual value, estimated one-time cost, estimated duration in months] 1218Constraints: [how many initiatives your organization can run at once, e.g. 4], [available funding for wave 1, e.g. $500K], [any hard deadlines or board commitments], [dependencies you already know, e.g. warehouse automation needs the WMS upgrade first] 1219 1220Rules for sequencing: 12211. Wave 1 is quick wins only: initiatives that pay back inside [6] months. Their captured savings become the funding pool for wave 2. 12222. Show the funding math wave by wave: cumulative savings captured versus cumulative cost committed. Flag any point where the program goes cash-negative. 12233. Identify dependencies I missed. If initiative B assumes a system, a team, or a data source that initiative A creates, sequence accordingly and say so. 12244. Never load a wave beyond my concurrency limit. If something high-value must wait, tell me exactly what it is waiting for. 12255. For each wave produce: initiatives, start month, duration, which function must lead each one, value captured by end of wave, and the single risk most likely to slip the wave. 1226 1227Then write a five-line summary I can put in front of my CFO: total value, total cost, months to break-even, and what we are explicitly choosing not to do this year.`},{title:"The Estimate Interrogator",prompt:`My initiative scores are built on effort estimates that nobody has pressure-tested. Interrogate them before I take this to my leadership team. 1228 1229Initiatives and current estimates: [paste: initiative, estimated cost, estimated duration, teams involved] 1230Who provided each estimate: [e.g. the sponsor, IT, a gut call in the workshop] 1231 1232For each initiative: 12331. Classify the estimate source risk: did the number come from the people who will do the work, from the person who wants the initiative approved, or from a workshop guess? Sponsors underestimate their own initiatives. Flag every estimate where the estimator benefits from a low number. 12342. Write the five questions I should ask the frontline team that would expose the estimate as wrong. Make them concrete: data migration volumes, exception rates, integration counts, retraining hours, approval chains. 12353. State the common failure pattern for this type of initiative (system replacement, process redesign, org restructure, automation) and the typical way its category runs over. 12364. Give me a pessimistic re-estimate and state exactly what would have to be true for the original number to hold. 1237 1238Output a table sorted by the gap between the optimistic and pessimistic estimate. The top three rows are where my prioritization is most likely lying to me.`},{title:"The Kill List Memo",prompt:`Prioritization only works if the bottom of the list actually stops. Help me kill initiatives cleanly. 1239 1240Initiatives to stop or deprioritize: [list them, with current status, sponsor, spend to date, and why each scored low] 1241Political context: [who champions each one, any executive attachment, anything already announced publicly or to the board] 1242 1243For each initiative: 12441. Write a half-page kill memo: what it was meant to do, what we now know, why it loses to the initiatives we are funding instead, and the specific conditions that would reopen it. Name the tradeoff explicitly: funding this means not funding [X]. 12452. Draft the two-paragraph message to the sponsor. Respectful, direct, no corporate padding. Acknowledge the sunk work. State the decision as final. 12463. Identify what to salvage: any completed workstream, data asset, or trained team that transfers to a funded initiative. 12474. Flag the zombie risk: the way this initiative is most likely to restart under a new name, and the control that prevents it (budget line removed, standing steering-committee check, headcount formally reassigned). 1248 1249Then give me the portfolio-level summary: total annual spend freed by the kill list and where each dollar and person goes instead.`}],M1e=[{title:"The Re-Score Engine",prompt:`An estimate changed and I need the whole portfolio re-scored before Monday's steering committee. 1250 1251Current portfolio: [paste the full scored list: initiative, impact, effort, bucket, wave] 1252What changed: [e.g. the ERP integration for initiative 7 came back at $900K, triple the estimate, or we lost two of the four ops analysts assigned to wave 1] 1253 1254Do the following: 12551. Re-score every initiative touched by the change, directly or through a dependency. Show old score, new score, and the reasoning in one line each. 12562. Tell me what moves buckets and what moves waves. If a wave-1 quick win is no longer quick, say which fill-in or deferred initiative takes its slot and why. 12573. Re-run the funding math: does wave 1 still generate enough captured savings to fund wave 2 on schedule? If there is a gap, size it and give me three ways to close it: defer, descope, or fund externally. 12584. Run a sensitivity pass on the rest of the portfolio: which three initiatives have the most fragile rankings, meaning a 25% error in their impact or effort estimate would flip their bucket? Those are the estimates to verify next. 12595. Write the delta summary for the steering committee: five bullets covering what changed, what we are doing about it, and what we need decided in the meeting. 1260
1261Keep every score the change did not touch stable. Do not reshuffle the portfolio for elegance.`},{title:"The Initiative Decomposer",prompt:`You are a transformation program designer. I will give you a strategy and you will decompose it into a complete initiative backlog. 1262 1263Company context: [industry, revenue, headcount, one paragraph on the business] 1264The strategy: [the strategic goals with target numbers, e.g. "take $40M out of operating cost in 24 months" or "move service margin from 12% to 18%"] 1265P&L lines in scope: [paste the summary P&L, or list the cost and revenue lines with current annual values] 1266Constraints: [what is off the table: no layoffs before Q2, ERP migration locked until next year, union terms, capex freeze] 1267 1268Decompose the strategy into an initiative backlog. Rules: 12691. Every initiative must map to a specific P&L line I gave you. If an initiative touches no line, cut it. 12702. Every initiative gets: a name a line leader would recognize, one sentence on what changes in how the work is done, the P&L line it hits, a value class (S: under $500K annual, M: $500K to $2M, L: over $2M), the function that owns it, and a difficulty rating (process change only / process plus system change / process plus system plus org change). 12713. Aim for MECE coverage. When you finish, show me which in-scope P&L lines have no initiative against them and say why. 12724. Flag any initiative that conflicts with a constraint I listed. 12735. Do not pad. Fifteen strong initiatives beat forty weak ones. 1274 1275Output the backlog as a table, then the coverage gaps and constraint conflicts below it. Then ask me the five questions whose answers would most change this backlog.`},{title:"The Value Hypothesis Sizer",prompt:`You are a transformation finance analyst. Size one initiative with a value hypothesis I can defend to a CFO. 1276 1277The initiative: [name and a one-paragraph description] 1278The baseline: [current-state numbers: annual cost of the process, headcount involved, volume, cycle time, error or rework rate, whatever you actually have] 1279The mechanism: [what changes: e.g. "AI drafts the first response, agents review" or "consolidate three regional teams into one"] 1280Comparable evidence: [internal pilots, vendor benchmarks, or published studies you trust; write "none" if none] 1281 1282Build the value hypothesis in this exact structure: 12831. Driver tree: baseline value = [volume] x [unit cost or rate]. Show the math with my numbers. 12842. The change: which driver moves, by how much, and why that magnitude is plausible given the mechanism. 12853. Three cases: conservative, expected, aggressive, each with the single assumption that separates it from the next. 12864. Ramp: how much of the annual value lands in quarters 1 through 4 after launch, and why. 12875. Cost to achieve: one-time and recurring, best estimate with stated assumptions. 12886. The kill assumption: the one assumption that, if wrong, zeroes this initiative. Tell me how to test it in two weeks for under $10K. 1289 1290Where I gave you no baseline number, do not invent one. Mark it BASELINE NEEDED and tell me exactly who in my org would have that number and what to ask for.`},{title:"The Delivery-Wave Planner",prompt:`You are sequencing a transformation portfolio into waves. transformation programs commonly run in roughly 8 to 12 week waves; use 10-week waves unless I say otherwise. 1291 1292The backlog: [paste the initiative table: name, expected value, owning function, difficulty, known dependencies] 1293Capacity: [how many initiatives each function can run at once; if unsure, write "assume 2 per function"] 1294Cash constraint: [budget available per quarter for cost to achieve] 1295Must-move-first: [anything with an external deadline: contract renewal, regulatory date, system sunset] 1296 1297Sequence the backlog into waves. Rules: 12981. Wave 1 is a credibility wave. Pick 3 to 5 initiatives that are high-certainty, low-difficulty, and land visible value inside the first wave. Wave 1 results buy permission to run wave 2. 12992. Respect dependencies. If B needs A's system change, B waits. 13003. Respect capacity. Never load a function past the limit I gave you. 13014. Sequence cash. Cost to achieve in early waves must fit the quarterly budget; value from early waves can fund later ones. Show the cumulative cash curve quarter by quarter. 13025. For every initiative, state in one line WHY it sits in its wave. "Fits" fails that test. 1303 1304Output: the wave-by-wave table, the quarterly cash table, and the three sequencing calls you were least sure about, with the tradeoff on each.`},{title:"The Stage-Gate Writer",prompt:`You are writing stage-gate criteria for a transformation initiative. Use the standard five-stage pipeline: identified, designed, validated, launched, tracked to P&L. 1305 1306The initiative: [name, description, value hypothesis, owner] 1307Our finance rules: [who signs off on validated value and what evidence they require; if unknown, write "draft a sensible default"] 1308Review cadence: [weekly or biweekly gate reviews] 1309 1310For each of the five gates, write: 13111. Entry criteria as verifiable statements. "Design complete" fails the test; "process map signed by the line owner and both upstream teams" passes it. 13122. The evidence artifact: the specific document or number the gate review looks at. 13133. Who approves, by role. 13144. The three questions a skeptical CFO asks at this gate, and what a passing answer looks like. 13155. Kill criteria: the condition under which this initiative dies at this gate instead of limping forward and diluting the portfolio number. 1316 1317Then compress all five gates onto one page I can hand to every initiative owner as the program standard.`}],R1e=[{title:"The Roadmap-on-a-Page Assembler",prompt:`You are assembling the executive view of a transformation program. I will give you the pieces; you produce the two artifacts the steering committee actually reads. 1318 1319The sequenced backlog: [paste the wave table from the sequencing work] 1320Value hypotheses: [paste the sized values: initiative, conservative and expected value, ramp] 1321Program facts: [start date, wave length, program name, sponsor] 1322Owners: [initiative-to-owner mapping, or write "draft placeholders by role"] 1323 1324Produce: 13251. The roadmap on a page: waves across the top with dates, initiatives placed in their waves, cumulative expected value marked at each wave boundary, and the three program-level milestones an executive would remember a week later. Format as a text layout I can rebuild on one slide. 13262. The initiative register: one row per initiative with ID, name, owner, wave, gate status (everything starts at "identified"), baseline, expected annual value, and next gate date. Format as a table I can paste straight into a spreadsheet. 13273. The honesty footnote: three sentences under the roadmap stating what is estimated, what is validated, and when the first real numbers arrive. Steering committees trust roadmaps that say what they do not know yet. 1328 1329Keep every number traceable. If a number appears on the page, it appears in my inputs. No invented figures.`},{title:"The Taxonomy Tailor",prompt:`You are a chief risk officer designing a risk taxonomy for one specific business. McKinsey has published that there is no single standard risk taxonomy across industries, so build one that fits this company instead of reciting a generic one. 1330 1331The business: [describe your company: what you sell, revenue scale, customer concentration, geographic footprint, supply chain shape, regulatory exposure, workforce model, technology dependencies] 1332 1333Build a risk taxonomy with 6 to 9 top-level categories. For each category give me: 13341. A one-line definition scoped to this business, not a textbook definition. 13352. 3 to 5 subcategories. 13363. One concrete example of a risk in that category this specific company could plausibly face. 13374. The internal function that should own monitoring for that category. 1338 1339Then do two more things: 13405. Name any category a standard taxonomy (strategic, financial, operational, cyber, legal and regulatory, reputational) would include that you deliberately merged or dropped for this business, and why. 13416. Name one category this business needs that a generic taxonomy would miss. 1342 1343Keep every definition specific enough that two executives reading it would sort the same risk into the same bucket.`},{title:"The Register Builder",prompt:`Using the taxonomy below, build a full risk register for this business. 1344 1345Taxonomy: [paste your taxonomy, or list the categories] 1346The business: [paste the same business description] 1347Known sore spots: [anything already worrying leadership: a fragile supplier, a big renewal, a system migration, a key-pers
1347on dependency] 1348 1349Enumerate 30 to 50 plausible risks across the taxonomy. For each risk produce a register row: 1350- Risk ID and one-line name 1351- Category 1352- Description: the specific mechanism of harm, two sentences maximum 1353- Trigger: the event that would set it off 1354- Early warning indicator: something measurable that moves before the risk lands 1355- Likelihood score, 1 to 5, using these anchors: 1 = under 5% in the next 24 months, 2 = 5 to 20%, 3 = 20 to 50%, 4 = 50 to 80%, 5 = over 80% 1356- Impact score, 1 to 5, using these anchors: 1 = an annoyance we absorb, 2 = noticeable but recoverable within a quarter, 3 = we miss the annual plan, 4 = multi-year damage or major regulatory action, 5 = a threat to the franchise 1357- One sentence justifying each score 1358- The control you would assume already exists, flagged as ASSUMED so my team can confirm or kill it 1359 1360Do not pad the list with boilerplate risks that apply to every company on earth. Every row must connect to something in the business description. If a category yields fewer than three credible risks, say so instead of inventing filler.`},{title:"The Heat Map and the Cut",prompt:`Here is our risk register with likelihood and impact scores: [paste the register rows] 1361 1362Do four things: 13631. Plot the register on a 5x5 likelihood-by-impact grid, rendered as a text table with risk IDs in each cell. 13642. Give me the top 10 risks by combined severity, and for each, one sentence on why it earned the slot. 13653. Flag velocity separately: identify any risk scored 3 or below on likelihood that would go from trigger to full impact in under 30 days. Slow-moving high scores get managed; fast-moving mid scores kill quarters. Name them. 13664. Flag clusters: any set of 3 or more risks sharing a common trigger or a common single point of failure. A cluster is one risk wearing several disguises and should be managed as one. 1367 1368Then write the half-page summary I would put in front of the executive team: the top 10, the velocity risks, the clusters, and the two decisions the room needs to make this quarter. Write it in plain declarative sentences a CEO would actually read.`},{title:"The Mitigation Drafter",prompt:`For each of the top risks below, draft a full mitigation entry. 1369 1370Top risks: [paste your top 10 from the heat map exercise, with scores and descriptions] 1371Our org structure: [list your executive roles and what each one actually controls] 1372Budget reality: [rough annual budget available for risk work, or write 'assume constrained'] 1373 1374For each risk produce: 13751. The disposition: mitigate, accept, transfer, or avoid, with one sentence of reasoning. 13762. If mitigating: the specific action, not a theme. 'Qualify a second supplier for [component] by Q2' qualifies. 'Strengthen supply chain resilience' gets rejected. 13773. The owner, chosen from the org structure I gave you, matched to who actually controls the levers. Say why that role and not the obvious one. 13784. A cost band: under $50K, $50K to $250K, $250K to $1M, over $1M. 13795. The 90-day first milestone that proves the mitigation is real and not a slide. 13806. Residual likelihood and impact after the mitigation, on the same 1 to 5 anchors, with one sentence on what the mitigation does NOT cover. 13817. The review trigger: the event or date that reopens this entry. 1382 1383Where one action covers multiple risks, consolidate and say so. Close with a rough total cost of the full plan, and if it exceeds the budget I gave you, rank which mitigations to cut first and state the exposure each cut leaves open.`}],L1e=[{title:"The Blind-Spot Red Team",prompt:`Here is our full risk register and mitigation plan: [paste both] 1384Here is our business description: [paste it] 1385Our primary regulator(s): [name them] 1386 1387Attack this register. Take three perspectives in sequence. 1388 1389First, as a short seller building a thesis against this company: what risk would anchor your report that is missing from this register or scored conveniently low on it? 1390 1391Second, as our regulator: which entry reads like evidence we know about a problem and softened the score? Which enforcement trend in our industry is absent from the register entirely? 1392 1393Third, as a departing executive being honest in an exit interview: which risks here are owned in name only? Which mitigation is a document rather than a behavior? What does everyone below the executive team already believe is going to break? 1394 1395For each finding, give me: what is missing or miscored, the honest score on the same 1 to 5 anchors, and the specific question I should ask, and of whom, to confirm it within a week. 1396 1397End with the three risks you believe this register was built to avoid discussing.`},{title:"The Competitor Role Brief",prompt:`You are going to role-play one of my competitors in a strategic war-game. Before we play, build the role brief. 1398 1399The competitor: [competitor name] 1400My company: [what you do, rough revenue, market position]
1401The market: [category, how deals are won, anything unusual right now] 1402What I know about them: [recent moves, leadership changes, pricing behavior, anything from the field] 1403 1404Build a competitor role brief with five sections: 14051. Economics: how they make money, their cost structure relative to mine, where their margin actually comes from. 14062. Incentives: what their leadership is being measured on right now. Use public statements, earnings pressure, recent leadership changes, investor pressure. Flag anything you are inferring rather than know. 14073. Constraints: what they cannot easily do. Channel conflict, legacy install base, debt load, culture, regulatory exposure. 14084. Playbook: their last five significant competitive moves and the pattern behind them. 14095. Doctrine: one paragraph, written in first person as their head of strategy, stating how we respond when attacked. 1410 1411Separate what is publicly known from what you are inferring, line by line. I will correct the brief before we play.`},{title:"The Reverse Ambush",prompt:`You are the head of strategy at [your strongest competitor]. Your CEO has asked your team for a plan to take meaningful share from my company within 12 months. You are good at your job and you know our public weaknesses. 1412 1413Your company (the one you work for): [competitor name and market position] 1414My company (the target): [honest description, including the weaknesses you would rather not write down: churn, aging product, key-pers
1414on dependence, pricing pressure, delivery misses] 1415The market: [category dynamics, how customers actually switch] 1416 1417Produce the attack plan: 14181. The three moves you would make, sequenced across the year, with rough cost to you and expected damage to me. 14192. For each move, what you expect my company to do in response, and why that response fails or arrives too late. 14203. The single asset of mine you would try to neutralize first, and how. 1421 1422Then switch sides. As my advisor now: which of these three attacks are we least prepared for, what makes it hard for us to see coming, and what would we start doing this quarter if we took it seriously?`},{title:"The Survivors Read-Out",prompt:`Below is the record of a competitive war-game. Turn it into a decision read-out for my executive team. 1423 1424Game record: [paste the full move/counter-move exchange from the war-game, or your notes from a live session] 1425The decision we need to make: [what is actually on the table: budget, launch timing, pricing, M&A, market exit] 1426Resources in play: [rough budget, headcount, or capacity that could move] 1427 1428Produce four things: 14291. Options that survived contact: the moves that held up across every competitor response, with the reasoning trail from the game. 14302. Options that died: what got beaten, by which competitor, in which round. One line each on why. 14313. The reallocation table: given what survived, where money and people should move. Be specific about what gets defunded, and name the objection the owner of that budget will raise. 14324. Tripwires: for each surviving option, the two external signals that would tell us a competitor is running the counter we mapped, and how early we could realistically see each one. 1433 1434One page. Written for executives who did not sit through the game.`}],F1e=[{title:"The Activist in the Room",prompt:`You are an activist investor who has just built a 6 percent position in my company. You have done your homework and you want changes. 1435 1436My company: [description, revenue, ownership structure, recent performance] 1437The plan I am about to present: [the strategic plan or move, stated the way you would state it to the board] 1438What the numbers look like: [key financials or trajectory, rough is fine] 1439 1440Do three things: 14411. Write the letter you would send my board. Two pages, specific, cold, grounded in the numbers I gave you plus what an outsider could reasonably infer. 14422. List the ten hardest questions you would ask me in the room, ranked by how much damage a weak answer does. 14433. For the top three questions, write the answer a strong management team would give. Then tell me honestly whether my plan as described actually supports that answer. Where it does not, say so plainly and tell me what would have to change in the plan itself, in the answer. 1444 1445Stay hostile until section three. Do not soften the letter.`},{title:"The Metric Tree Builder",prompt:`You are building a value-driver tree for my company, using the architecture McKinsey documents in its published valuation work: enterprise value at the top, decomposed through ROIC and revenue growth, down to the operational KPIs a line manager can actually move. 1446 1447Company context: 1448- Business model: [how you make money: products/services, pricing model, customer segments, sales motion] 1449- Revenue: [total revenue and rough split by segment or product line] 1450- P&L summary: [paste your income statement lines: revenue, COGS, gross margin, SG&A, operating income] 1451- Balance sheet lines: [paste: receivables, inventory, payables, PP&E, and anything else material] 1452- Strategic priorities (optional): [what leadership is focused on this year] 1453 1454Build the tree in four levels: 14551. Level 1: Enterprise value, split into ROIC and growth. 14562. Level 2: Decompose ROIC into operating margin and capital turnover. Decompose growth into volume, price/mix, and new-revenue sources specific to my model. 14573. Level 3: Break each Level 2 branch into the P&L or balance-sheet line that feeds it. Name the actual line from my numbers. 14584. Level 4: For each Level 3 line, identify 2-4 operational KPIs a specific team could move this quarter. Each KPI must name the frontline behavior behind it. 1459 1460For every branch, state the causal chain in one sentence: this KPI moves this line, which moves this driver, which moves value. If a branch is weak or the causality is speculative for my business model, say so plainly instead of forcing symmetry. 1461 1462Output as an indented tree, then a table of the Level 4 KPIs with columns: KPI, definition, P&L or balance-sheet line it feeds, function that controls it, dollar logic. 1463 1464Before you build, ask me up to five clarifying questions about my business model, but only ones whose answers would change the tree's structure.`},{title:"The Driver Sensitivity Ranker",prompt:`You are stress-testing a value-driver tree to find where a point of improvement is
1464worth the most. 1465 1466Inputs: 1467- My driver tree or KPI list: [paste the tree from a prior session, or your current KPI list] 1468- Financials: [revenue, operating margin %, invested capital or total assets, working capital lines, growth rate] 1469- Constraints: [what is genuinely hard to move in my industry, e.g. pricing is contract-locked for 18 months, labor is unionized, capacity is fixed until the new line opens] 1470 1471Do this: 14721. For each driver, compute the enterprise-value impact of a realistic improvement: one point of operating margin, one point of price, one point of volume growth, one day of DSO, one turn of inventory. Show the math and state every assumption. 14732. Rank the drivers by dollar impact per unit of realistic effort, using my constraints. A big number behind a locked contract ranks below a smaller number a team can move next month. 14743. Flag two special lists: drivers with high impact but low controllability, and drivers with modest impact that a single team fully controls. The second list is often where momentum starts. 14754. Recommend the three drivers I should concentrate on for the next two quarters, with the argument for each in a form I can defend to my CFO. 1476 1477Where you need a number I did not give, use a stated assumption and mark it clearly. Do not smooth over missing data.`},{title:"The Function KPI Assignment",prompt:`You are assigning KPI ownership from a value-driver tree down to specific functions: three KPIs per leader, no more. 1478 1479Inputs: 1480- Driver tree or KPI candidate list: [paste] 1481- Org structure: [list your direct reports or functions, e.g. Ops, Sales, Finance, Customer Service, HR, Procurement, IT] 1482- Current incentive structure: [what each leader is bonused on today, as far as you know it] 1483 1484Rules: 14851. Every KPI gets exactly one owning function. Shared ownership means no ownership. 14862. Each leader gets at most three KPIs. If a function seems to need five, the tree is wrong, so fix the tree and show me the fix. 14873. Each assignment needs three things: the KPI's precise operational definition (formula, data source, measurement frequency), the value chain in one sentence, and a leading indicator the leader can check weekly before the monthly number lands. 14884. Flag every conflict between a proposed KPI and a current incentive. A leader bonused on revenue will fight a margin KPI. Name each collision plainly. 14895. Flag every pair of KPIs where two functions' targets can work against each other, e.g. procurement's unit cost against ops' rework rate, and propose the tie-breaker metric that arbitrates. 1490 1491Output: one table per function, then the conflict list, then the five hardest conversations this assignment will force, each with a one-paragraph brief for how I open it.`}],B1e=[{title:"The KPI Definition Sheet Builder",prompt:`You are writing the definition sheets that keep a KPI architecture from dying in interpretation fights. 1492 1493Inputs: 1494- Final KPI list: [paste your chosen KPIs with owners] 1495- Systems of record: [where the data actually lives: ERP, CRM, billing system, spreadsheets. Name them.] 1496- Reporting rhythm: [weekly ops review, monthly business review, quarterly board, whatever you run] 1497- Financial anchors: [operating margin, growth rate, and any unit economics you have] 1498 1499For each KPI, produce a one-page definition sheet: 15001. Exact formula, with every term defined. If a term like 'active customer' or 'on-time' has two plausible meanings in my business, choose one, and state what the choice excludes. 15012. Data source, down to the specific field or report. Flag any KPI whose source is a spreadsheet a single person maintains. That is a fragility. Collect all of them into a risk register at the end. 15023. Measurement window and reporting lag. 15034. Green, yellow, and red thresholds, with the reasoning. Anchor red to the point where the value math breaks, using my financial anchors, and show the arithmetic. 15045. The known ways this metric gets gamed, and the counter-metric that catches it. 15056. What the owner is expected to bring to the review when it goes red: the diagnosis format, filled in with a worked example. 1506 1507Output all sheets, then the data-fragility risk register, then a list of every definitional decision I made through you that leadership should ratify explicitly rather than discover later.`},{title:"The Power-Interest Mapper",prompt:`You are mapping stakeholders for a change initiative. Here is the initiative in one paragraph: [describe the change: what is changing, who is driving it, what happens to headcount, budget, and reporting lines]. 1508 1509Here is the org chart or a list of the people involved, with titles and reporting lines: [paste org chart text or a plain list]. 1510 1511Here are my raw notes from conversations with or about these people: [paste interview notes, meeting notes, email excerpts, or your own observations. Rough is fine]. 1512 1513Do the following: 15141. Sort every named person into a power-interest grid: high power / high interest (manage closely), high power / low interest (keep satisfied), low power / high interest (keep informed), low power / low interest (monitor). For each placement, cite the specific note or fact that justifies it. If you are guessing, say so and mark the placement LOW CONFIDENCE. 15152. For every high-power person, state in one sentence what they gain and what they lose if the initiative succeeds.
15163. Flag anyone whose stated position and likely actual position differ, and explain the gap. 15174. List the three placements you are least sure of and the single question I could ask to resolve each one. 1518 1519Format as a table plus a short readout. No filler.`},{title:"The Decision RACI Builder",prompt:`I am running [initiative name and one-line description]. Below are the decisions this initiative requires and the people who could plausibly touch each one. 1520 1521Decisions: [list every real decision, one per line. Examples: approve the new vendor contract, sign off on the revised org design, set the cutover date, approve severance terms]. 1522 1523People: [list names, titles, and one line on what each person currently controls]. 1524 1525Build a RACI for each decision: exactly one Accountable, Responsible parties who will do the work, Consulted only where their input changes the outcome, Informed for everyone else who needs to know. 1526 1527Then audit your own draft: 15281. Flag any decision where you could not name a single Accountable owner with confidence. 15292. Flag any person who appears as Consulted on more than half the decisions. That is usually a veto hiding as a courtesy. 15303. Flag any decision where the Accountable person and the person with actual power (per the people list) are different, and say what breaks when they disagree. 15314. List the decisions I have probably missed, based on the initiative description. 1532 1533Output one table per decision, then the audit as a short memo.`},{title:"The Blocker Brief",prompt:`One person is slowing down [initiative]. Here is who: [name, title, what they control, how long they have been in the role]. 1534 1535Here is everything I have on their behavior: [paste email threads, meeting notes, secondhand reports, and anything they have said in open forums. Include dates where you have them]. 1536 1537Here is what the initiative changes for them specifically: [budget, headcount, reporting lines, status, workload]. 1538 1539Write me a one-page brief: 15401. Stated objections, quoted or paraphrased from the material, with dates. 15412. Likely real objection. Choose from: turf loss, workload, genuine substantive concern, scar tissue from a similar past effort, loyalty to someone else, or timing. Rank the top two and cite the evidence for each. 15423. What they would need to see, hear, or get in order to move. Be concrete: a role in the design, a delayed timeline, a public win, an exit. 15434. The three things I should never say to this person, based on the material. 15445. A draft opening for a one-on-one: my first ninety seconds, in plain spoken language. 1545 1546If the evidence contradicts itself, show me the contradiction rather than smoothing it over. Mark every inference you cannot support with a quote as SPECULATION.`},{title:"The Influence-Model Planner",prompt:`McKinsey's published Influence Model says people shift behavior when four conditions hold: they see leaders modeling the change, they understand and believe the reason for it, the formal mechanisms (incentives, processes, structures) reinforce it, and they have the skills to do the new thing. 1547 1548Score my initiative against those four conditions, segment by segment. 1549 1550Initiative: [one paragraph: what is changing and by when]. 1551 1552Segments: [list each group the change touches, with rough headcount and one line on how the change hits them. Examples: field service managers (240 people, new scheduling system replaces their judgment calls); regional VPs (11 people, lose direct pricing authority)]. 1553 1554What we have done so far: [list every communication, town hall, incentive change, or training already delivered, with dates]. 1555 1556For each segment: 15571. Score each of the four conditions red, yellow, or green, with one sentence of evidence per score drawn from the inputs. 15582. For every red or yellow, name the single highest-impact action, who delivers it, and in which week. 15593. Identify which condition we keep over-investing in and which one we keep skipping. Most programs oversupply communication and undersupply reinforcing mechanisms. Tell me if mine does. 1560 1561End with a one-page sequenced plan: weeks 1 through 12, actions by segment, one named owner per action.`}],$1e=[{title:"The Conversation Sequencer",prompt:`I have [N] weeks before [the decision point: board vote, steering committee, budget approval]. I need the following people aligned, or at least neutral, by then. 1562 1563For each person: [name, title, current position (supportive / neutral / resistant / unknown), what they care about, and who they listen to. The Power-Interest Mapper's output pastes straight in here]. 1564 1565Constraints: [anything fixed: travel, an offsite, someone leaving, a person I cannot approach directly]. 1566 1567Build me the conversation sequence: 15681. Order the one-on-ones. For each, state why this person comes before the next. Apply these sequencing rules: land the most influential supporter first so I can reference them, never let a resistant person hear about the plan secondhand, and put the swing votes after I have at least two named supporters on record. 15692. For each conversation: the single ask, the one thing this person needs to hear early, the objection I should expect, and my answer to it in two sentences. 15703. Mark the conversations where the order depends on an outcome. Give me the branch: if [person] says no, what changes downstream. 15714. Tell me which conversations I should not delegate, and why. 1572 1573Output as a numbered schedule I can put against a calendar.`},{title:"The Governing Thought Extractor",prompt:`You are structuring an executive recommendation using the Pyramid Principle. I will give you raw material. Your job is to find the answer and state it first. 1574 1575THE DECISION I NEED MADE: [the specific decision, e.g. "approve $2.4M to consolidate our three regional service centers into one"] 1576THE AUDIENCE: [who decides, what they care about, what they already believe] 1577RAW FINDINGS: [paste your data, analysis notes, interview takeaways, whatever you have; messy is fine] 1578CONSTRAINTS: [anything off the table: budget ceiling, timeline, political realities] 1579 1580Produce: 15811. THE GOVERNING THOUGHT. One sentence, 25 words or fewer, that states the recommendation and the single most compelling reason. It must be a claim someone could disagree with. Write 3 candidates, then tell me which one you would bet on and why.
15822. THE SCQA OPENING. Situation (2 sentences of context the audience already agrees with), Complication (what changed or broke), Question (the question the complication forces), Answer (the governing thought). Total under 120 words. 15833. THE KILL TEST. State the one finding in my raw material that most undercuts the governing thought. If I cannot answer it in the room, the thought needs to change. Tell me whether it should. 1584 1585Do not hedge the governing thought. "We should consider" is a fail. Recommend.`},{title:"The Ghost Deck Builder",prompt:`Build me a ghost deck: the complete title-and-logic skeleton of an executive presentation, before any design work. Pyramid Principle discipline applies. The headlines alone must tell the whole story. 1586 1587GOVERNING THOUGHT: [the one-sentence recommendation] 1588SCQA OPENING: [paste it, or write "draft one"] 1589SUPPORTING PILLARS: [2-4 reasons the recommendation holds, or write "propose them from my findings"] 1590FINDINGS AND DATA: [paste everything relevant] 1591DECK LENGTH: [e.g. 12 slides plus appendix] 1592DECISION ASKED OF THE ROOM: [approve, fund, choose between options, kill] 1593 1594For each slide give me: 1595- SLIDE # 1596- ACTION TITLE: a full-sentence claim, 15 words maximum. "Service costs" fails. "Service costs rose 34% while volume stayed flat, and three sites drove all of it" passes. 1597- EVIDENCE SLOT: what proof belongs on this slide (chart type, table, quote, benchmark) and whether I already supplied it or need to go get it. Mark missing proof as EVIDENCE GAP in caps. 1598- SO-WHAT: one line on why this slide earns its place in the argument. 1599 1600Then print the READ-THROUGH: every action title in sequence as a single paragraph. If that paragraph does not stand alone as the full argument, revise the titles until it does. End with the appendix list: the backup slides for the 5 hardest questions this deck will draw.`},{title:"The MECE Pressure Test",prompt:`Pressure-test the structure of this argument for MECE violations: mutually exclusive, collectively exhaustive. 1601 1602GOVERNING THOUGHT: [the recommendation] 1603MY SUPPORTING PILLARS: [list your 2-5 supporting reasons or buckets exactly as you currently have them] 1604WHAT THE ARGUMENT MUST SURVIVE: [the decision forum, e.g. "a CFO who thinks this is an IT cost problem" or "a board that rejected a version of this last year"] 1605 1606Run three checks: 16071. OVERLAP CHECK (mutually exclusive). For every pair of pillars, state whether any evidence could file under both. Name the specific overlap. Overlapping pillars read as padding and invite the question "aren't these the same point?" 16082. GAP CHECK (collectively exhaustive). List what a skeptical executive would expect this argument to cover that no pillar covers. For each gap, say whether it becomes a new pillar, folds into an existing one, or gets parked in the appendix with one line of acknowledgment. 16093. LOAD-BEARING CHECK. Rank the pillars by how much of the recommendation rests on each. If one pillar carries more than half the weight, say so. That is
1609where the argument gets attacked, and it may deserve two slides while a weak pillar gets cut. 1610 1611Then give me the restructured pillar set: renamed, regrouped, one-line rationale per change, maximum 4 pillars. If my original structure was already sound, say so plainly and do not invent changes.`},{title:"The Action Title Rewriter",prompt:`Rewrite these slide titles as action titles: full-sentence claims that carry the argument, in the Minto tradition where a reader who sees only the headlines gets the entire story. 1612 1613CURRENT TITLES, IN ORDER: [paste your deck's titles as a numbered list, topic labels and all] 1614GOVERNING THOUGHT: [the recommendation the deck exists to land] 1615AUDIENCE: [who reads this and how fast, e.g. "the CEO skims headlines on a phone before the meeting"] 1616 1617For each title: 1618- Rewrite it as one declarative sentence with a subject, a verb, and, where the evidence supports it, a number. 15 words maximum. 1619- If the current title is a topic label ("Market Overview", "Next Steps"), mark it TOPIC LABEL and state the claim the slide is hiding. 1620- If a title claims more than the slide's evidence can carry, mark it OVERCLAIM and write the honest version. 1621 1622Then run the SKIM TEST: print the rewritten titles in sequence and grade the flow A to F on three axes: each title advances the argument, the sequence builds to the governing thought, a reader who saw nothing else would make the right decision. Fix anything below a B by reordering or merging slides, and tell me which slides to cut. A slide whose title cannot be written as a claim is usually a slide that should not exist.`}],U1e=[{title:"The Hostile Read",prompt:`You are the most skeptical executive who will see this presentation. Shred it before the real one does. 1623 1624THE STORY LINE: [paste your action titles in order, plus the SCQA opening] 1625THE DECIDER: [role, what they protect, what they have rejected before, e.g. "CFO, guards cash, killed the last automation proposal over payback period"] 1626WHAT I AM ASKING FOR: [the specific approval: dollars, headcount, a date] 1627KNOWN WEAK POINTS: [anything you already know is soft; be honest, it comes out anyway] 1628 1629Produce: 16301. THE FIRST INTERRUPTION. Identify the exact slide where this decider stops the presenter, and the sentence they say. Most decks die at one specific headline. Name it. 16312. THE TEN QUESTIONS. The hardest questions this story line draws, ranked by damage. For each: which slide triggers it, whether the deck as structured can answer it, and if yes, the 2-sentence answer. If no, mark it NAKED and tell me what evidence or appendix slide would clothe it. 16323. THE COUNTER-NARRATIVE. Write the memo the smartest opponent of this recommendation would circulate the night before. One page. If it is more persuasive than my deck, tell me why. 16334. THE VERDICT. Approve, approve with conditions, or send back. As this decider, with only this material, pick one and name the single change that most improves the odds. 1634 1635Do not be polite. A gentle read here buys me a brutal one in the room.`},{title:"The Governing-Thought Tightener",prompt:`You are doing the second-pass edit on a draft decision memo. Your job is to tighten the governing thought and cut everything that does not prove it. 1636 1637DRAFT MEMO: [paste your draft, any length] 1638THE DECISION IT SUPPORTS: [one sentence] 1639AUDIENCE: [who reads it and what they already believe] 1640 1641Work in this order: 16421. Extract the governing thought as currently written. If the draft buries the answer, quote the sentence where it first appears and say how far down the page it sits. 16432. Test it against three questions, each graded yes or no with one line of justification: Is it a recommendation or a topic? Does it contain the strongest reason? Could the reader act on it alone? 16443. Rewrite it. Give me three candidate governing thoughts, each one sentence, each answer-first. Rank them and say why the winner wins. 16454. Run the cut list. Go paragraph by paragraph and mark each one KEEP (proves the governing thought), MOVE (true, belongs in an appendix), or CUT (interesting, proves nothing). Show me the full list with a five-word reason per verdict. 16465. Reassemble the memo using only KEEP material under the winning governing thought. Target 400 words. 1647 1648One rule: if more than half the draft gets marked CUT, stop and tell me the analysis does not yet support the recommendation. List the missing evidence instead of padding what survived.`},{title:"The Trade-off Forcer",prompt:`I have a decision with several live options and I need the trade-offs forced into the open before I recommend one. 1649 1650DECISION: [one sentence] 1651OPTIONS: [describe each option in one paragraph, including "do nothing" if it is genuinely on the table] 1652WHAT MATTERS MOST: [the 3-4 criteria that decide this, in strict priority order: cost, speed, risk, reversibility, headcount impact, whatever applies here] 1653KNOWN FACTS: [paste estimates, quotes, analysis, vendor numbers, anything you have] 1654 1655Produce: 16561. A trade-off table: options as rows, my criteria as columns. Each cell gets a short factual entry drawn from what I gave you. No numeric scoring. Where you have no basis, write UNKNOWN, and count the UNKNOWNs per option at the bottom. 16572. For each option, the single strongest argument for it and the single strongest argument against it, one sentence each. 16583. Reversibility check: for each option, can we walk it back within 90 days, and what would walking back cost in money and credibility? 16594. A recommendation with the governing thought stated first, then the two reasons that decided it against my ranked criteria. 16605. Kill criteria: the two or three observable conditions in the first 90 days that would prove this recommendation wrong. 1661 1662Do not split the difference or propose a blend to avoid choosing. If two options genuinely tie on my criteria, say the criteria are insufficient and name the single piece of information that breaks the tie.`},{title:"The Board Red Team",prompt:`Before this memo goes to [the board / my CEO / the executive committee], attack it. 1663 1664MEMO: [paste the final draft]
1665DECIDER AND AUDIENCE: [who decides, who else is in the room, and what each person cares about, e.g. "CFO cares about capex discipline, GC cares about the union agreement, the COO sponsored the losing option"] 1666WHAT I AM ALREADY WORRIED ABOUT: [optional: your own doubts, stated bluntly] 1667 1668Four passes: 16691. Strongest case against. Write the best one-paragraph argument for rejecting the recommendation, as the smartest skeptic in that room would make it. Steelman it. No strawmen. 16702. Load-bearing assumptions. List every assumption the recommendation collapses without. For each: how confident should I actually be, and what is the cheapest way to check it before the meeting? 16713. The questions I will get. The seven hardest questions this specific audience will ask, ranked by how much damage a bad answer does. For each, either draft the answer from the memo's own material or mark it NOT DEFENSIBLE and name what I would need to make it defensible. 16724. The failure story. Write the six-sentence version of how this decision looks in 18 months if it goes wrong, then name what the memo could add now (a stage gate, a reversal trigger, a smaller first step) that would have contained the damage. 1673 1674End with a verdict: SHIP, SHIP WITH FIXES (list them), or HOLD (say exactly what is missing). Do not soften the verdict t 1675â¦[truncated]o be agreeable.`}],q1e=[{title:"The Decision Record",prompt:`The decision is made. Write the record so that a year from now nobody relitigates it from memory. 1676 1677THE DECISION: [what was decided, by whom, on what date] 1678THE MEMO OR NOTES: [paste the decision memo, the meeting notes, or both] 1679OPTIONS REJECTED: [what was on the table and did not win] 1680DISSENT: [who disagreed and on what grounds, if anyone did. "None voiced" is an acceptable answer and worth recording.] 1681 1682Write a one-page decision record with five sections: 16831. The decision, stated plainly, with the owner and the effective date. 16842. Why: the governing thought and the two or three reasons that carried it, written in the past tense, as history. 16853. What we rejected and why, one line per option. This is the section that stops the relitigation. 16864. What we knew we did not know: the open risks and the unresolved dissent we accepted going in, named honestly. Recording the dissent protects the dissenter and the decision at the same time. 16875. Revisit triggers: the specific conditions or dates that reopen this decision, and who has the authority to call it. Everything outside those triggers stays closed. 1688 1689Keep it under 350 words. Neutral register. No selling. The memo argued for the decision; the record just has to survive being read in a year by someone who was not in the room.`},{title:"The House Method File",prompt:`You are going to build my company's standing method file. This is the context document every future analysis prompt will load first, so every output speaks our operating reality from the first line. 1690 1691Here is the raw material: 1692- What we do and how we make money: [two-paragraph description of the business model] 1693- Our stated strategy for the next 12-24 months: [paste strategy summary or annual plan excerpt] 1694- The 5-10 metrics leadership actually watches: [list metrics with current values] 1695- Who decides what: [list the decision-makers and what each one owns] 1696- Vocabulary we use internally: [product names, org names, terms of art] 1697- Known sensitivities: [topics or units that are politically loaded] 1698 1699Produce a single method file with these sections: 17001) Business context in 200 words. 17012) Strategic priorities, ranked. 17023) Metric definitions with current baselines. 17034) Decision rights map: decision type, owner, forum. 17045) House vocabulary with one-line definitions. 17056) Constraints and sensitivities. 17067) Output standards: every future deliverable states the recommendation first, quantifies impact against one of the metrics above, and names a single owner for every action. 1707 1708Keep it under 1,500 words. I will paste this file at the top of every analysis we run from now on.`},{title:"The Engagement Kickoff Chain",prompt:`Load the method file below, then run a full engagement kickoff on this problem. 1709 1710METHOD FILE: [paste your House Method File] 1711 1712THE PROBLEM: [one-paragraph description of the business problem] 1713WHAT TRIGGERED IT NOW: [the event, number, or complaint that put this on the table] 1714THE DECISION THIS MUST ENABLE: [the specific decision and who makes it] 1715DEADLINE: [date] 1716 1717Run these steps in order and label each one: 1718 1719STEP 1: Problem statement. Restate the problem as a single answerable question with a metric and a deadline. Flag anything ambiguous, cho
1719ose the most defensible interpretation, and say why. 1720 1721STEP 2: Issue tree. Break the question into mutually exclusive, collectively exhaustive branches, three levels deep. Mark each leaf: answerable with data we likely have, answerable with new data, or judgment call. 1722 1723STEP 3: Day-one hypothesis. State your best-guess answer and the three findings that would kill it. 1724 1725STEP 4: Workplan. Turn the tree into a two-week workplan: each analysis, the data it needs, the output it produces, and an owner placeholder. 1726 1727STEP 5: Data request. Write the exact data-request email I can send today: each dataset, format, date range, and the role that likely owns it. 1728 1729End with the five questions you would ask me before starting if you were the engagement manager on this.`},{title:"The Analysis-to-Memo Pipeline",prompt:`Load the method file and kickoff output below, then run the analysis chain. 1730 1731METHOD FILE: [paste your House Method File] 1732KICKOFF OUTPUT: [paste the full Engagement Kickoff Chain output] 1733DATA THAT CAME BACK: [paste tables and exports, or attach the files and list them here] 1734 1735Run these steps in order and label each one: 1736 1737STEP 1: Data audit. List what arrived versus what the data request asked for, what is missing, and which branches of the issue tree we can now close. 1738 1739STEP 2: Analysis. Work every answerable branch. For each: the calculation, the finding, and a confidence level (high, medium, low) with the reason. 1740 1741STEP 3: Kill test. Revisit the day-one hypothesis. Say plainly whether it survived, died, or changed, and name the finding that did it. 1742 1743STEP 4: Synthesis. Write the governing thought in one sentence, then the three supporting arguments beneath it, answer first, evidence under each. 1744 1745STEP 5: Decision memo. Produce a one-page memo for [decision-maker]: the recommendation, the cost of doing nothing quantified against the method file's metrics, the three arguments with evidence, risks with mitigations, and the specific ask with a date. 1746 1747Flag every number you calculated versus every number you assumed. I will check the assumed ones by hand.`},{title:"The Pre-Wire Run",prompt:`Load the method file and the decision memo below. The recommendation goes to [forum, e.g., the executive committee] on [date]. 1748 1749METHOD FILE: [paste your House Method File] 1750DECISION MEMO: [paste the memo from the Analysis-to-Memo Pipeline] 1751THE ROOM: [list each attendee: name, role, and one line on what they care about or fear] 1752 1753Produce: 1754 17551) Stakeholder map. For each person: likely position (champion, persuadable, blocker), what the recommendation costs them, and what it gives them. 1756 17572) Pre-wire plan. The order I should meet them in before the forum, and the single point to land in each conversation. One point per person, no more. 1758 17593) The three hardest objections I will hear, written verbatim as that person would phrase them, each with a response grounded in the memo's evidence. 1760 17614) A tailored one-page version of the memo for the most likely blocker, reframed around what they own and what they are measured on. 1762 17635) The fallback. If the full recommendation dies in the room, the smallest version still worth taking, and exactly what we give up by settling for it.`},{title:"The Rerun Retro",prompt:`We ran the full chain on [problem] and the decision was made on [date]. Now update the method so the next run is better. 1764 1765WHAT WE PREDICTED: [paste the decision memo's recommendation and quantified impact] 1766WHAT ACTUALLY HAPPENED: [outcomes, real numbers, surprises, where the pushback came from] 1767WHERE THE ANALYSIS WAS WRONG OR THIN: [your honest read, two or three sentences] 1768 1769Produce: 1770 17711) Variance table. Each major claim in the memo against what happened, rated: held, partly held, missed. 1772 17732) Root causes. For each miss, name the cause: bad data, bad assumption, wrong frame, or execution gap. One line each. 1774 17753) Method file edits. The specific lines to add or change in our House Method File so the next run does not repeat the misses. Write the edits verbatim, ready to paste. 1776 17774) The next problem. Given what this cycle revealed, the three problems most worth running the chain on
1777next month, ranked by recoverable dollars, with a one-line case for each. 1778 1779Keep the whole output under two pages. 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