https://calvinx.com/assets/js/7d8a6669.aff069ab.js

1"use strict";(globalThis.webpackChunkcalvinxcom_2=globalThis.webpackChunkcalvinxcom_2||[]).push([[1892],{37381(e,a,t){t.r(a),t.d(a,{assets:()=>w,contentTitle:()=>C,default:()=>P,frontMatter:()=>N,metadata:()=>s,toc:()=>W});const s=JSON.parse('{"id":"ai-capabilities-stack","title":"AI Capabilities Stack","description":"Interactive AI Capabilities Stack - tracks, eight agentic planes, five enterprise planes, synthesis principles, two footer bars (stack maturity chain plus enterprise plane row), and curriculum.","source":"@site/applied-ai/courses/ai-capabilities-stack.mdx","sourceDirName":".","slug":"/ai-capabilities-stack","permalink":"/applied-ai/ai-capabilities-stack","draft":false,"unlisted":false,"editUrl":"https://github.com/calvinchengx/calvinchengx.github.io/tree/main/applied-ai/courses/ai-capabilities-stack.mdx","tags":[],"version":"current","sidebarPosition":1.5,"frontMatter":{"title":"AI Capabilities Stack","description":"Interactive AI Capabilities Stack - tracks, eight agentic planes, five enterprise planes, synthesis principles, two footer bars (stack maturity chain plus enterprise plane row), and curriculum.","sidebar_position":1.5,"keywords":["applied AI","AI capabilities","AI Capabilities Stack","stack diagram","agentic stack","planes","fellowship tracks"],"hide_table_of_contents":true},"sidebar":"courses","previous":{"title":"Applied AI Fellowship","permalink":"/applied-ai/"},"next":{"title":"Our Methodology","permalink":"/applied-ai/methodology"}}');var r=t(94686),i=t(23191),n=t(60100),l=t(92990),c=t(99273),o=t(54324);const d=c.d0,m={ux:d.UX,control:d.Control,runtime:d.Runtime,memory:d["Context & Memory"],data:d.Data,integrations:d.Integrations,security:d.Security,obs:d.Observability},p={"exec-people":d["People & Leadership"],"exec-culture":d["Culture & Change"],"exec-governance":d["Governance & Risk"],"exec-strategy":d["Strategy & Portfolio"],"exec-economics":d["Economics & ROI"]},u=[{id:"ux",name:"UX Plane",tracks:["t2","t3","t5"],tools:["Slack","Teams","Vercel","Supabase","Stripe","Sentry","LaunchDarkly","Twilio","Cloudflare Workers","Intercom"],desc:"Where trust is won or lost. What users see, approve, and download. Maturity: borrowed surfaces \u2192 dedicated hub \u2192 hybrid.",weeks:{t2:["Wk1: User-Centered Design","Wk2: Agent Narrative & Trust","Wk3: DX Patterns","Wk4: Roadmap + Pricing"],t3:["Wk3: HITL design (approval UX)"],t5:["Wk1: Architecture overview (planes inc. trust/UX)","Wk10: Full stack synthesis (UX across planes)"]}},{id:"control",name:"Control Plane",tracks:["t1","t2","t3","t4","t5"],tools:["Cedar","OPA","MCP (10K+ servers)","A2A","OAuth 2.1","RFC 8693","SPIFFE","Inngest","Temporal","Restate","Langfuse","Arize AX","Portkey","LaunchDarkly"],desc:"Policy, identity, tool registry, budget enforcement, progressive delivery. Lives outside the agent loop - deterministic, not prompt-based.",weeks:{t1:["Wk2: Governance framing","Wk3: Build vs buy","Wk4: Investment strategy"],t2:["Wk4: Pricing + progressive delivery"],t3:["Wk2: Governance layer","Wk3: HITL","Wk4: Observability","Wk6: Cost governance","Wk7: Progressive delivery"],t4:["Wk2: Tool registry (MCP)","Wk3: Policy + guardrails","Wk4: Identity","Wk5: Durable orchestration","Wk7: Observability","Wk8: Budget enforcement","Wk9: Progressive delivery"],t5:["Wk1-4: Foundations"]}},{id:"runtime",name:"Runtime Plane",tracks:["t3","t4","t5"],tools:["Cloud Run","Lambda","Celery","Redis","Temporal","Inngest","Restate","E2B","Daytona","Fly.io Sprites","Modal","RunPod","CoreWeave","AWS Bedrock AgentC

1ore"],desc:"Multi-lane execution: frontdoor / durable worker / sandbox / GPU inference. Each lane has its own latency, isolation, and cost contract.",weeks:{t3:["Wk5: Runtime contracts + SLAs","Wk6: Cost model","Wk7: Progressive rollout"],t4:["Wk6: Multi-lane runtime engineering"],t5:["Wk1-4: Foundations"]}},{id:"memory",name:"Context & Memory Plane",tracks:["t5"],tools:["Astrocytes","Hindsight","Vectorize.io","LangGraph","Mem0","Zep","Pinecone","pgvector","TEMPR"],desc:"Memory enables cognition - RAG only optimizes retrieval. Governed memory frameworks (e.g. open-source Astrocytes: retain/recall/reflect, policy, hybrid retrieval) sit here\u2014not vectors alone. Four networks: World, Experience, Opinion, Observation. TEMPR (Temporal Entity Memory Priming Retrieval) \u2014 structured retrieval used by Hindsight. Vectors: similarity retrieval; graph stores: relational structure; hybrid patterns combine both where they apply.",weeks:{t5:["Wk5: Memory networks","Wk5: TEMPR (Temporal Entity Memory Priming Retrieval)","Wk11: Astrocytes-augmented architecture"]}},{id:"data",name:"Data Plane",tracks:["t5"],tools:["PostgreSQL","S3","Pinecone","Elasticsearch","Supabase","Schema migrations"],desc:"Multi-tenant data ownership, behavior schemas, tool I/O contracts. Schema as source-of-truth for agent behavior.",weeks:{t5:["Wk6: Multi-tenant data","Wk6: Behavior schemas"]}},{id:"integrations",name:"Integrations Plane",tracks:["t4","t5"],tools:["MCP (10K+ servers)","A2A Agent Cards","ACP","ANP","Tavily","Exa","Playwright","FastAPI","LiteLLM"],desc:"Web search, scraping, external APIs, drift management. Protocol convergence: MCP \u2192 ACP \u2192 A2A.",weeks:{t4:["Wk2: Tool registry + MCP","Wk10: Capstone wiring"],t5:["Wk9: MCP ecosystem","Wk9: A2A Agent Cards"]}},{id:"security",name:"Security Plane",tracks:["t4","t5"],tools:["SPIFFE","mTLS","AWS Bedrock Guardrails","OpenAI Agents SDK","Cedar","HashiCorp Vault","OneCLI","Doppler"],desc:"Identity, authorization, I/O guardrails. Compliance: CA SB 243/AB 489. Zero-trust workload identity.",weeks:{t4:["Wk3: Guardrails pipeline","Wk4: Zero-trust identity"],t5:["Wk7: Security plane depth"]}},{id:"obs",name:"Observability Plane",tracks:["t3","t4","t5"],tools:["OpenTelemetry","Langfuse","Arize AX","LangSmith","Datadog LLM Obs","Braintrust","Sentry"],desc:"Traces, metrics, eval, cost attribution. OTel GenAI semantic conventions for vendor portability. Three eval strategies.",weeks:{t3:["Wk4: Observability for delivery"],t4:["Wk7: OTel + evaluation pipelines"],t5:["Wk8: Full observability stack"]}}],k=[{id:"exec-people",name:"People & Leadership Plane",tracks:["t1","t2","t3","t5"],tools:["Executive sponsors","Clear ownership","AI fluency & upskilling","Capacity & hiring","Partner vs build staffing"],desc:"Accountability for AI outcomes, how leadership and operating models scale, and how you staff and upskill for agentic work without overloading a few heroes.",weeks:{t1:["Wk1: Executive & board framing","Wk2: Accountability that scales"],t2:["Wk1: User-Centered Design","Wk2: Agent Narrative & Trust"],t3:["Wk2: Governance layer owners","Wk6: Cost governance sponsors"],t5:["Wk1-4: Foundations (leadership context)"]}},{id:"exec-culture",name:"Culture & Change Plane",tracks:["t1","t2","t3","t5"],tools:["Psychological safety","Trust & adoption","Change management","Experimentation norms","Champions network"],desc:"How people actually adopt AI: trust, transparency, safe experimentation, and change management so new workflows stick beyond a pilot.",weeks:{t1:["Wk1: Hype vs production gap","Wk2: Trust as systems property"],t2:["Wk2: Agent narrative & trust","Wk3: DX patterns"],t3:["Wk3: HITL design (adoption)","Wk7: Progressive delivery (change)"],t5:["Wk10: Full stack synthesis (culture)"]}},{id:"exec-governance",name:"Governance & Risk Plane",tracks:["t1","t2","t3","t4","t5"],tools:["Risk appetite","Regulatory & reputational risk","Policy & acceptable use","Evidence & audit","Third-party AI"],desc:"Executive view of risk and assurance: what boards and regulators expect, how policy frames model and data use, and how you prove control without slowing every team.",weeks:{t1:["Wk2: Trust & governance","Wk4: Investment risk framing"],t2:["Wk4: Roadmap + pricing (commercial risk)"],t3:["Wk2: Governance layer","Wk6: Cost governance"],t4:["Wk3: Policy + guardrails","Wk4: Identity + zero-trust"],t5:["Wk7: Security plane","Wk8: Observability"]}},{id:"exec-strategy",name:"Strategy & Portfolio Plane",tracks:["t1","t2","t4","t5"],tools:["Use-case portfolio","Prioritization & sequencing","Build vs buy vs partner","Competitive positioning","Vendor strategy"],desc:"Where to play: portfolio thinking, sequencing dependencies, build/buy/partner choices, and how AI fits your product and market story.",weeks:{t1:["Wk3: Build vs buy","Wk4: Investment strategy"],t2:["Wk4: Roadmap + pricing"],t4:["Wk2: Tool registry (strategy)","Wk10: Capstone"],t5:["Wk9: Integrations + protocols","Wk12: Architecture capstone"]}},{id:"exec-economics",name:"Economics & ROI Plane",tracks:["t1","t2","t3","t4","t5"],tools:["Business case & value hypothesis","Unit economics","Token & infra spend","Budget gates","Portfolio ROI"],desc:"Hard financial reality: value hypotheses, unit economics, run-rate AI spend, and capital allocation so AI 

1investments stand up to finance and the board.",weeks:{t1:["Wk3: Build vs buy (TCO)","Wk4: Investment strategy"],t2:["Wk4: Pricing & progressive delivery"],t3:["Wk6: Cost governance","Wk5: Runtime contracts + SLAs"],t4:["Wk8: Budget enforcement","Wk6: Runtime plane"],t5:["Wk8: Full observability (cost)","Wk1-4: Foundations"]}}],h={"exec-people":["People","& Leadership"],"exec-culture":["Culture","& Change"],"exec-governance":["Governance","& Risk"],"exec-strategy":["Strategy","& Portfolio"],"exec-economics":["Economics","& ROI"]},y=[{id:"t1",num:"T1",name:"Executive",role:"Decision-makers",weeks:4,planes:["control"],execPlanes:["exec-people","exec-culture","exec-governance","exec-strategy","exec-economics"]},{id:"t2",num:"T2",name:"AI Product",role:"Product leaders",weeks:4,planes:["ux","control"],execPlanes:["exec-people","exec-culture","exec-governance","exec-strategy","exec-economics"]},{id:"t3",num:"T3",name:"Delivery Leader",role:"Project managers",weeks:8,planes:["ux","control","runtime","obs"],execPlanes:["exec-people","exec-culture","exec-governance","exec-economics"]},{id:"t4",num:"T4",name:"AI Engineer",role:"Engineers",weeks:10,planes:["control","runtime","integrations","security","obs"],execPlanes:["exec-governance","exec-strategy","exec-economics"]},{id:"t5",num:"T5",name:"AI Architect",role:"Architects",weeks:12,planes:["ux","control","runtime","memory","data","integrations","security","obs"],execPlanes:["exec-people","exec-culture","exec-governance","exec-strategy","exec-economics"]}],g={t1:"AI Investment Decision Framework",t2:"Agentic Product Roadmap + Pricing Canvas",t3:"Governed AI Delivery Plan + Risk Register",t4:"Production agentic system with documented architecture",t5:"Production architecture doc + annotated stack diagram"},v={t1:["Wk1: AI Reality Check","Wk2: Trust & Governance","Wk3: Build vs Buy","Wk4: Investment Strategy"],t2:["Wk1: User-Centered Design","Wk2: Agent Narrative & Trust","Wk3: DX Patterns","Wk4: Roadmap + Pricing"],t3:["Wk1: Planes as Risk Framework","Wk2: Governance Layer","Wk3: HITL Design","Wk4: Observability (delivery)","Wk5: Runtime Contracts + SLAs","Wk6: Cost Governance","Wk7: Progressive Delivery","Wk8: Capstone"],t4:["Wk1: Architecture Overview","Wk2: Control Plane + Tool Registry","Wk3: Policy + Guardrails","Wk4: Identity + Zero-Trust","Wk5: Durable Orchestration + HITL","Wk6: Runtime Plane Engineering","Wk7: Observability + Eval","Wk8: Budget Enforcement","Wk9: Progressive Delivery","Wk10: Capstone"],t5:["Wk1-4: Foundations (T4)","Wk5: Context & Memory Plane","Wk6: Data Plane","Wk7: Security Plane","Wk8: Observability Plane","Wk9: Integrations + Protocols","Wk10: Full Stack Synthesis","Wk11: Astrocyte-Augmented Arch","Wk12: Architecture Capstone"]};function x(e){const a=e.indexOf(":");return-1===a?{label:e,body:""}:{label:e.slice(0,a),body:e.slice(a+1)}}const A=[{id:"all",label:"All Tracks"},{id:"t1",label:"T1 \xb7 Executive (4w)"},{id:"t2",label:"T2 \xb7 AI Product (4w)"},{id:"t3",label:"T3 \xb7 Delivery Leader (8w)"},{id:"t4",label:"T4 \xb7 AI Engineer (10w)"},{id:"t5",label:"T5 \xb7 AI Architect (12w)"}];function b(){const[e,a]=(0,l.useState)("all"),[t,s]=(0,l.useState)(null),i=(0,l.useCallback)(e=>{a(e),s(null)},[]),c=(0,l.useCallback)(e=>{s(a=>a===e?null:e)},[]),d=(0,l.useMemo)(()=>"all"===e?u:[...u.filter(a=>a.tracks.includes(e)),...u.filter(a=>!a.tracks.includes(e))],[e]),g=(0,l.useMemo)(()=>"all"===e?k:[...k.filter(a=>a.tracks.includes(e)),...k.filter(a=>!a.tracks.includes(e))],[e]),v=(0,l.useCallback)(e=>y.find(a=>a.id===e),[]);return(0,r.jsxs)("div",{className:`applied-ai-stack-diagram-root ${o.A.root}`,children:[(0,r.jsxs)("div",{className:o.A.trackBar,children:[(0,r.jsx)("span",{className:o.A.trackBarLabel,children:"Filter by track:"}),A.map(a=>(0,r.jsx)("button",{type:"button",className:`${o.A.tab} ${e===a.id?o.A.tabActive:""}`,onClick:()=>i(a.id),children:a.label},a.id))]}),(0,r.jsxs)("div",{className:o.A.layout,children:[(0,r.jsxs)("div",{className:o.A.content,children:[(0,r.jsx)("div",{className:o.A.sectionLabel,children:"Fellowship Tracks"}),(0,r.jsx)("div",{className:o.A.tracksGrid,children:y.map(a=>(0,r.jsxs)("button",{type:"button",className:`${o.A.trackCard} ${e===a.id?o.A.trackCardActive:""} ${"all"!==e&&e!==a.id?o.A.trackCardDimmed:""}`,onClick:()=>i(a.id),children:[(0,r.jsx)("div",{className:o.A.trackNum,children:a.num}),(0,r.jsx)("div",{className:o.A.trackName,children:a.name}),(0,r.jsxs)("div",{className:o.A.trackMeta,children:[a.weeks,"w \xb7 ",a.role]}),(0,r.jsx)("div",{className:o.A.trackDots,children:a.planes.map(e=>(0,r.jsx)("div",{className:o.A.dot,style:{background:m[e]}},e))}),(0,r.jsx)("div",{className:o.A.trackExecDots,"aria-label":"Enterprise planes for this track",children:a.execPlanes.map(e=>(0,r.jsx)("div",{className:o.A.execDot,style:{background:p[e]},title:k.find(a=>a.id===e)?.name},e))})]},a.id))}),(0,r.jsx)("div",{className:o.A.sectionLabel,children:"Agentic Stack Planes"}),(0,r.jsx)("p",{className:o.A.stackSectionIntro,children:"Execution-oriented layers from UX through observability - what you ship and operate. Tool tags match the glossary for canonical product and protocol names."}),(0,r.jsx)("div",{className:o.A.planesList,children:d.map(a=>{const s=m[a.id],i="all"!==e&&!a.tracks.includes(e),n=t===a.id;return(0,r.jsxs)("div",{className:`${o.A.plane} ${n?o.A.planeSelected:""} ${i?o.A.planeDimmed:""}`,style:{borderLeftColor:s},role:"button",tabIndex:0,onClick:()=>c(a.id),onKeyDown:e=>{"Enter"!==e.key&&" "!==e.key||(e.preventDefault(),c(a.id))},children:[(0,r.jsxs)("div",{className:o.A.planeRow,children:[(0,r.jsx)("div",{className:o.A.planeIndicator,style:{background:s}}),(0,r.jsx)("div",{className:o.A.planeName,style:n?{color:s}:void 0,children:a.name}),(0,r.jsx)("div",{className:o.A.planeTrackPills,children:a.tracks.map(e=>(0,r.jsx)("span",{className:o.A.pill,children:v(e).num},e))})]}),n?(0,r.jsx)("div",{className:o.A.planeTags,children:a.tools.map(e=>(0,r.jsx)("span",{className:o.A.tag,children:e},e))}):null]},a.id)})}),(0,r.jsx)("div",{className:o.A.sectionLabel,children:"Enterprise Planes"}),(0,r.jsxs)("p",{className:o.A.stackSectionIntro,children:["People, culture, governance, strategy, and economics - complementary to the agentic stack. Topic tags align with enterprise plane entries in the"," ",(0,r.jsx)(n.A,{to:"/applied-ai/glossary",children:"glossary"})," (themes and artifacts, not vendor product names)."]}),(0,r.jsx)("div",{className:o.A.planesList,children:g.map(a=>{const s=p[a.id],i="all"!==e&&!a.tracks.includes(e),n=t===a.id;return(0,r.jsxs)("div",{className:`${o.A.plane} ${n?o.A.planeSelected:""} ${i?o.A.planeDimmed:""}`,style:{borderLeftColor:s},role:"button",tabIndex:0,onClick:()=>c(a.id),onKeyDown:e=>{"Enter"!==e.key&&" "!==e.key||(e.preventDefault(),c(a.id))},children:[(0,r.jsxs)("div",{className:o.A.planeRow,children:[(0,r.jsx)("div",{className:`${o.A.planeIndicator} ${o.A.planeIndicatorSquare}`,style:{background:s}}),(0,r.jsx)("div",{className:o.A.planeName,style:n?{color:s}:void 0,children:a.name}),(0,r.jsx)("div",{className:o.A.planeTrackPills,children:a.tracks.map(e=>(0,r.jsx)("span",{className:o.A.pill,children:v(e).num},e))})]}),n?(0,r.jsx)("div",{className:o.A.planeTags,children:a.tools.map(e=>(0,r.jsx)("span",{className:o.A.tag,children:e},e))}):null]},a.id)})}),(0,r.jsx)("div",{className:o.A.sectionLabel,children:"Synthesis Principles"}),(0,r.jsxs)("div",{className:o.A.synthesisGrid,children:[(0,r.jsxs)("div",{className:o.A.synthCard,children:[(0,r.jsx)("div",{className:o.A.synthLabel,children:"Pedagogy Layer (Fellowship)"}),(0,r.jsx)("div",{className:o.A.synthValue,children:"Bloom's Taxonomy \xb7 Artifact-driven \xb7 Role-specific \xb7 Governance-first"})]}),(0,r.jsxs)("div",{className:o.A.synthCard,children:[(0,r.jsx)("div",{className:o.A.synthLabel,children:"Technical Depth (Playbook)"}),(0,r.jsx)("div",{className:o.A.synthValue,children:"Production code patterns \xb7 Build-vs-buy \xb7 2026 tooling \xb7 Plane architecture"})]}),(0,r.jsxs)("div",{className:o.A.synthCard,children:[(0,r.jsx)("div",{className:o.A.synthLabel,children:"Maturity Dependency Chain"}),(0,r.jsx)("div",{className:o.A.synthValue,children:"Footer row 1: Integration \u2192 Data Eng \u2192 RAG \u2192 Memory \u2192 AR/VR (emerging) \xb7 Enabling: AI SDLC + Cost Mgmt \xb7 Row 2: Enterprise planes (People \u2192 \u2026 \u2192 Economics)"})]}),(0,r.jsxs)("div",{className:o.A.synthCard,children:[(0,r.jsx)("div",{className:o.A.synthLabel,children:"Key Differentiator"}),(0,r.jsx)("div",{className:o.A.synthValue,children:"Memory \u2260 RAG \xb7 Governance outside the agent \xb7 Planes as risk surface map"})]})]})]}),(0,r.jsx)("aside",{className:o.A.sidebar,children:(0,r.jsx)(j,{activeTrack:e,activePlane:t})})]}),(0,r.jsxs)("div",{className:o.A.maturityBarWrap,children:[(0,r.jsxs)("div",{className:o.A.maturityBarRow,"aria-label":"Agentic stack: integration and capability maturity path",children:[(0,r.jsx)("span",{className:o.A.matLabel,title:"Technical path on the agentic stack (not the enterprise row below)",children:"Stack maturity"}),(0,r.jsxs)("div",{className:o.A.matStep,children:[(0,r.jsx)("div",{className:o.A.matDot,style:{background:"#0891b2"}}),(0,r.jsxs)("div",{className:o.A.matName,style:{color:"#0891b2"},children:["Integration",(0,r.jsx)("br",{}),"/ ESB"]})]}),(0,r.jsx)("span",{className:o.A.matArrow,children:"\u203a"}),(0,r.jsxs)("div",{className:o.A.matStep,children:[(0,r.jsx)("div",{className:o.A.matDot,style:{background:"#db2777"}}),(0,r.jsxs)("div",{className:o.A.matName,style:{color:"#db2777"},children:["Data",(0,r.jsx)("br",{}),"Engineering"]})]}),(0,r.jsx)("span",{className:o.A.matArrow,children:"\u203a"}),(0,r.jsxs)("div",{className:o.A.matStep,children:[(0,r.jsx)("div",{className:o.A.matDot,style:{background:"#d97706"}}),(0,r.jsx)("div",{className:o.A.matName,style:{color:"#d97706"},children:"RAG"})]}),(0,r.jsx)("span",{className:o.A.matArrow,children:"\u203a"}),(0,r.jsxs)("div",{className:o.A.matStep,children:[(0,r.jsx)("div",{className:o.A.matDot,style:{background:"#ea580c"}}

1),(0,r.jsx)("div",{className:o.A.matName,style:{color:"#ea580c"},children:"Memory"})]}),(0,r.jsx)("span",{className:o.A.matArrow,children:"\u203a"}),(0,r.jsxs)("div",{className:o.A.matStep,children:[(0,r.jsx)("div",{className:o.A.matDot,style:{background:"#8d949e"}}),(0,r.jsxs)("div",{className:o.A.matName,children:["AR/VR",(0,r.jsx)("br",{}),"(emerging)"]})]}),(0,r.jsx)("div",{className:o.A.matSep}),(0,r.jsx)("span",{className:o.A.matLabel,children:"Enabling"}),(0,r.jsxs)("div",{className:o.A.matStep,children:[(0,r.jsx)("div",{className:o.A.matDot,style:{background:"#7c3aed"}}),(0,r.jsx)("div",{className:o.A.matName,style:{color:"#7c3aed"},children:"AI SDLC"})]}),(0,r.jsx)("span",{className:o.A.matArrow,style:{opacity:.4},children:"+"}),(0,r.jsxs)("div",{className:o.A.matStep,children:[(0,r.jsx)("div",{className:o.A.matDot,style:{background:"#b45309"}}),(0,r.jsxs)("div",{className:o.A.matName,style:{color:"#b45309"},children:["Cost",(0,r.jsx)("br",{}),"Mgmt"]})]})]}),(0,r.jsxs)("div",{className:o.A.maturityBarRow,"aria-label":"Enterprise planes: people, culture, governance, strategy, economics",children:[(0,r.jsx)("span",{className:o.A.matLabel,title:"Complementary to the agentic stack \u2014 org, culture, and economics themes",children:"Enterprise"}),k.map((e,a)=>{const t=p[e.id],[s,i]=h[e.id];return(0,r.jsxs)(l.Fragment,{children:[a>0?(0,r.jsx)("span",{className:o.A.matArrow,children:"\u203a"}):null,(0,r.jsxs)("div",{className:o.A.matStep,children:[(0,r.jsx)("div",{className:`${o.A.matDot} ${o.A.matDotSquare}`,style:{background:t}}),(0,r.jsxs)("div",{className:o.A.matName,style:{color:t},children:[s,(0,r.jsx)("br",{}),i]})]})]},e.id)})]})]})]})}function j({activeTrack:e,activePlane:a}){if(a){const e=function(e){if(!e)return null;const a=u.find(a=>a.id===e);if(a)return{kind:"agentic",plane:a};const t=k.find(a=>a.id===e);return t?{kind:"exec",plane:t}:null}(a);if(!e)return(0,r.jsx)(r.Fragment,{});const{kind:t,plane:s}=e,i="agentic"===t?m[s.id]:p[s.id],n="agentic"===t?"Tags":"Topics";return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsxs)("div",{className:o.A.detailCard,children:[(0,r.jsxs)("div",{className:o.A.detailHead,style:{borderLeft:`3px solid ${i}`},children:[(0,r.jsx)("div",{className:"exec"===t?`${o.A.dot} ${o.A.execDotSmall}`:o.A.dot,style:{background:i}}),s.name]}),(0,r.jsx)("div",{className:o.A.detailBody,children:s.desc})]}),(0,r.jsxs)("div",{className:o.A.detailCard,children:[(0,r.jsx)("div",{className:o.A.detailHead,children:n}),(0,r.jsx)("div",{className:o.A.planeTagList,children:s.tools.map(e=>(0,r.jsx)("span",{className:o.A.tag,style:{borderColor:`${i}44`,color:i},children:e},e))})]}),(0,r.jsxs)("div",{className:o.A.detailCard,children:[(0,r.jsx)("div",{className:o.A.detailHead,children:"Curriculum"}),(0,r.jsx)("div",{className:o.A.detailBody,children:Object.entries(s.weeks).map(([e,a])=>{const t=y.find(a=>a.id===e);return t?(0,r.jsxs)("div",{className:o.A.curriculumBlock,children:[(0,r.jsxs)("div",{className:o.A.curriculumTrackLabel,style:{color:i},children:[t.num," \xb7 ",t.name]}),a.map((a,t)=>{const{label:s,body:i}=x(a);return(0,r.jsxs)("div",{className:o.A.weekItem,children:[(0,r.jsxs)("span",{className:o.A.weekNum,children:[s,":"]}),i]},`${e}-${t}`)})]},e):null})})]})]})}if("all"!==e){const a=y.find(a=>a.id===e);if(!a)return(0,r.jsx)(r.Fragment,{});const t=u.filter(a=>a.tracks.includes(e)),s=k.filter(a=>a.tracks.includes(e));return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsxs)("div",{className:o.A.detailCard,children:[(0,r.jsxs)("div",{className:o.A.detailHead,style:{color:"var(--fsd-primary)"},children:[a.num," \xb7 ",a.name]}),(0,r.jsxs)("div",{className:o.A.detailBody,children:[(0,r.jsx)("strong",{children:a.role})," \xb7 ",a.weeks," weeks",(0,r.jsx)("br",{}),(0,r.jsx)("br",{}),(0,r.jsx)("strong",{children:"Capstone Artifact:"}),(0,r.jsx)("br",{}),g[e]]})]}),(0,r.jsxs)("div",{className:o.A.detailCard,children:[(0,r.jsx)("div",{className:o.A.detailHead,children:"Weekly Curriculum"}),(0,r.jsx)("div",{className:o.A.detailBody,children:v[e].map(e=>{const{label:a,body:t}=x(e);return(0,r.jsxs)("div",{className:o.A.weekItem,children:[(0,r.jsxs)("span",{className:o.A.weekNum,children:[a,":"]}),t]},e)})})]}),(0,r.jsxs)("div",{className:o.A.detailCard,children:[(0,r.jsx)("div",{className:o.A.detailHead,children:"Agentic Planes Covered"}),(0,r.jsx)("div",{className:o.A.planeTagList,children:t.map(e=>(0,r.jsx)("span",{className:o.A.tag,style:{borderColor:`${m[e.id]}55`,color:m[e.id]},children:e.name.replace(" Plane","")},e.id))})]}),(0,r.jsxs)("div",{className:o.A.detailCard,children:[(0,r.jsx)("div",{className:o.A.detailHead,children:"Enterprise Planes Covered"}),(0,r.jsx)("div",{className:o.A.planeTagList,children:s.map(e=>(0,r.jsx)("span",{className:o.A.tag,style:{borderColor:`${p[e.id]}55`,color:p[e.id]},children:e.name.replace(" Plane","")},e.id))})]})]})}return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsxs)("div",{className:o.A.detailCard,children:[(0,r.jsx)("div",{className:o.A.detailHead,children:"How to use"}),(0,r.jsxs)("div",{className:o.A.detailBody,children:["Select a ",(0,r.jsx)("strong",{children:"track tab"})," to filter relevant planes. Click an ",(0,r.jsx)("strong",{children:"agentic"})," row for product and protocol tags; click an"," ",(0,r.jsx)("strong",{children:"enterprise"})," row for people, culture, governance, strategy, and economics topics. Track cards show round dots (agentic) and square markers (enterprise)."]})]}),(0,r.jsxs)("div",{className:o.A.detailCard,children:[(0,r.jsx)("div",{className:o.A.detailHead,children:"Program at a Glance"}),(0,r.jsx)("div",{className:o.A.detailBody,children:(0,r.jsxs)("ul",{className:o.A.detailList,children:[(0,r.jsx)("li",{children:"5 role-specific tracks"}),(0,r.jsx)("li",{children:"4-12 weeks per track (one track per fellow)"}),(0,r.jsx)("li",{children:"8 agentic stack planes + 5 enterprise planes"}),(0,r.jsx)("li",{children:"Artifact-driven assessment"}),(0,r.jsx)("li",{children:"Credentialed badges"}),(0,r.jsx)("li",{children:"Public sector variant"})]})})]}),(0,r.jsxs)("div",{className:o.A.detailCard,children:[(0,r.jsx)("div",{className:o.A.detailHead,children:"Glossary"}),(0,r.jsxs)("div",{className:o.A.detailBody,children:["Canonical names for agentic and enterprise plane tags:"," ",(0,r.jsx)(n.A,{to:"/applied-ai/glossary",children:"Applied AI - Glossary"}),"."]})]})]})}const N={title:"AI Capabilities Stack",description:"Interactive AI Capabilities Stack - tracks, eight agentic planes, five enterprise planes, synthesis principles, two footer bars (stack maturity chain plus enterprise plane row), and curriculum.",sidebar_position:1.5,keywords:["applied AI","AI capabilities","AI Capabilities Stack","stack diagram","agentic stack","planes","fellowship tracks"],hide_table_of_contents:!0},C="AI Capabilities Stack",w={},W=[];function f(e){const a={h1:"h1",header:"header",p:"p",strong:"strong",...(0,i.R)(),...e.components};return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)(a.header,{children:(0,r.jsx)(a.h1,{id:"ai-capabilities-stack",children:"AI Capabilities Stack"})}),"\n",(0,r.jsx)(a.p,{children:"This diagram maps how applied AI capabilities stack."}),"\n",(0,r.jsxs)(a.p,{children:[(0,r.jsx)(a.strong,{children:"Agentic stack planes"}

1)," cover execution (what you build and run) - from integration-style foundations through memory and agentic behavior - and how they connect to the tracks and lessons ahead."]}),"\n",(0,r.jsxs)(a.p,{children:[(0,r.jsx)(a.strong,{children:"Enterprise planes"})," cover people, culture, governance, strategy, and economics for executives and sponsors."]}),"\n",(0,r.jsx)(a.p,{children:"From there you can see what tends to come first, what depends on what, and where your own work might sit, so you can prioritize and plan with a clearer picture than ad-hoc lists of tools."}),"\n",(0,r.jsx)(b,{})]})}function P(e={}){const{wrapper:a}={...(0,i.R)(),...e.components};return a?(0,r.jsx)(a,{...e,children:(0,r.jsx)(f,{...e})}):f(e)}},99273(e,a,t){t.d(a,{d0:()=>s,g6:()=>r});const s={UX:"#d97706",Control:"#7c3aed",Runtime:"#059669","Context & Memory":"#ea580c",Data:"#db2777",Integrations:"#0891b2",Security:"#b45309",Observability:"#6d28d9","People & Leadership":"#0f766e","Culture & Change":"#be123c","Governance & Risk":"#475569","Strategy & Portfolio":"#1e40af","Economics & ROI":"#a16207"},r=new Set(["UX","Control","Runtime","Context & Memory","Data","Integrations","Security","Observability","People & Leadership","Culture & Change","Governance & Risk","Strategy & Portfolio","Economics & ROI"])},54324(e,a,t){t.d(a,{A:()=>s});const s={root:"root_xGYn",trackBar:"trackBar_b3PO",trackBarLabel:"trackBarLabel_EnFZ",tab:"tab_tIKG",tabActive:"tabActive_K1tr",layout:"layout_gnGW",content:"content_Wp3C",sidebar:"sidebar_YdWR",sectionLabel:"sectionLabel_NAUH",tracksGrid:"tracksGrid_Srgf",trackCard:"trackCard_pezJ",trackCardActive:"trackCardActive_FOO1",trackCardDimmed:"trackCardDimmed_jbfN",trackNum:"trackNum_rLxB",trackName:"trackName_RCTe",trackMeta:"trackMeta_tJVh",trackDots:"trackDots_uIyG",trackExecDots:"trackExecDots_s0uH",dot:"dot_Zd5o",execDot:"execDot_gRK8",execDotSmall:"execDotSmall_sDKL",stackSectionIntro:"stackSectionIntro_JBrh",planeIndicatorSquare:"planeIndicatorSquare_TVUn",planesList:"planesList_zJiY",plane:"plane_o8U_",planeSelected:"planeSelected_n4Uo",planeDimmed:"planeDimmed_FHOj",planeRow:"planeRow_GKeT",planeIndicator:"planeIndicator_i7rR",planeName:"planeName_r9n1",planeTrackPills:"planeTrackPills_Eej9",pill:"pill_jCcY",planeTags:"planeTags_lwGZ",tagContext:"tagContext_GVtA",tag:"tag_OIk9",synthesisGrid:"synthesisGrid_MHX1",synthCard:"synthCard__QuL",synthLabel:"synthLabel_LlNO",synthValue:"synthValue_lGFw",detailCard:"detailCard_mGiU",detailHead:"detailHead_Q_QZ",detailBody:"detailBody_xhwa",detailList:"detailList_D0oz",weekItem:"weekItem_DuCn",weekNum:"weekNum_YDbC",planeTagList:"planeTagList_Qw35",maturityBarWrap:"maturityBarWrap_oZny",maturityBarRow:"maturityBarRow_uEy_",matDotSquare:"matDotSquare_Xyho",matLabel:"matLabel_lBLG",matStep:"matStep_JWOs",matDot:"matDot_j_nM",matName:"matName_Jp46",matArrow:"matArrow_nGEZ",matSep:"matSep_wJWN",curriculumBlock:"curriculumBlock_rT5B",curriculumTrackLabel:"curriculumTrackLabel_JHyh"}},23191(e,a,t){t.d(a,{R:()=>n,x:()=>l});var s=t(92990);const r={},i=s.createContext(r);function n(e){const a=s.useContext(i);return s.useMemo(function(){return"function"==typeof e?e(a):{...a,...e}},[a,e])}function l(e){let a;return a=e.disableParentContext?"function"==typeof e.components?e.components(r):e.components||r:n(e.components),s.createElement(i.Provider,{value:a},e.children)}}}]);