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Architect enterprise ai

Skill hiteshbandhu/skills-i-use/skills/ai-engineer-talks/architect-enterprise-ai

Drop-in skills and plugins for your AI development workflows

Install

npx -y skills add hiteshbandhu/skills-i-use --skill architect-enterprise-ai

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Runs enterprise AI architecture playbooks from AI Architects @ AI Engineer — AI architect role, agent platforms, voice agents, agent auth (CIAM), trusted inference, team structure, monetization, and product survival. Use when designing org-wide AI systems, agent platforms, or CIO-ready inference; or when the user says "AI architect", "enterprise agents", "CIAM for agents", "AI that pays", "build-operate divide".

SKILL.md

2.8 KB, as published. Nobody here has run it

Architect enterprise AI

Action playbook from nineteen AI Architect track talks. Do not summarize talks — pick a workflow and execute it.

Supporting files:

workflows.md — workflows A–M
source-index.md — src-NNN → learnings

Optional deliverables: {SKILL_OUTPUT_DIR}/architect-enterprise-ai/

Step 0 — Pick workflow

What is the user trying to do?
├─ Define AI architect role & stack choices              → A  [src-015, src-009]
├─ Ship agents that work in production                   → B  [src-003, src-010]
├─ Build agentic platform (Box-style)                  → C  [src-004, src-005]
├─ Voice agents                                          → D  [src-006]
├─ Agent identity / authZ (CIAM)                       → E  [src-007]
├─ CIO-trusted inference & telemetry                     → F  [src-008]
├─ Browser-as-runtime for agents                         → G  [src-019]
├─ Developer experience (AX)                             → H  [src-002]
├─ Revenue / ROI proof (healthcare RCM)                  → I  [src-001]
├─ Feedback loops & learning products                    → J  [src-011, src-013]
├─ Monetization & GTM for AI                             → K  [src-014, src-012]
├─ Modern AI team structure                              → L  [src-016]
├─ Product strategy / knife fight                        → M  [src-017, src-018]

Open workflows.md.

Install

cp -r skills/architect-enterprise-ai ~/.claude/skills/
cp -r skills/architect-enterprise-ai ~/.cursor/skills/

Source: playlists/ai-architects-ai-engineer/.

Cross-cutting rules

Rule	Source
AI architect owns integration, tools, embeddings, vector DB	[src-015 @ 9:41]
Agents need production design patterns, not demos	[src-010]
Feedback loops beat one-shot prompts for quality	[src-011]
AuthN/AuthZ for agents is a first-class concern	[src-007]
Bridge build vs operate for AI product vision	[src-018]

Output to user

Name workflow (A–M) and deliverable
Artifacts under ./skill-outputs/architect-enterprise-ai/ when requested

Invocation examples

@architect-enterprise-ai define our AI architect scope
agent auth model for enterprise SaaS
prove ROI for our AI inference platform

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.