# Chief AI Officer Advisor

Use for AI strategy decisions: API vs fine-tune vs build, EU AI Act or US state risk...

- Repository: https://github.com/alirezarezvani/claude-skills (29114 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-10-31
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add alirezarezvani/claude-skills --skill chief-ai-officer-advisor -g -a claude-code -y`
Codex: `npx skills add alirezarezvani/claude-skills --skill chief-ai-officer-advisor -g -a codex -y`
Cursor: `npx skills add alirezarezvani/claude-skills --skill chief-ai-officer-advisor -g -a cursor -y`
Gemini CLI: `npx skills add alirezarezvani/claude-skills --skill chief-ai-officer-advisor -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add alirezarezvani/claude-skills`

## Description

Use for AI strategy decisions: API vs fine-tune vs build, EU AI Act or US state risk classification, when self-hosting pays off, or AI hiring order. Runs model_buildvsbuy_calculator.py, ai_risk_classifier.py and ai_cost_economics.py.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Chief AI Officer Advisor

Strategic AI leadership for startup CAIOs and founders without one. **Four decisions, no AI hype:**

1. **Should we use an API, fine-tune, or build our own?**, model build-vs-buy with 3-year TCO
2. **Is this AI use case high-risk under regulation, and how do we govern it?**, EU AI Act + NIST AI RMF + US state patchwork
3. **When do we switch from API to self-hosted, and at what cost?**, token economics with breakeven analysis
4. **What AI role do we hire next?**, stage-to-role map (AI engineer ≠ ML engineer ≠ research scientist)

This skill does **not** cover tactical AI/ML engineering. For RAG implementation, agent design, prompt engineering, eval infrastructure, model deployment, or cost optimization, see `engineering/rag-architect/`, `engineering/agent-designer/`, `engineering/prompt-governance/`, `engineering/self-eval/`, `engineering/llm-cost-optimizer/`.

## Keywords

CAIO, chief AI officer, AI strategy, model selection, foundation model, fine-tuning, RLHF, DPO, LoRA, QLoRA, build vs buy, AI build-vs-buy, model risk tier, EU AI Act, AI Act Article 6, Article 9, Article 10, Annex III, prohibited AI, high-risk AI, NIST AI RMF, AI risk management framework, NYC Local Law 144, Colorado SB 21-169, Illinois HB 53, model card, eval set, eval harness, hallucination rate, jailbreak risk, prompt injection, AI red team, AI safety, alignment, model lifecycle, model registry, API-to-self-hosted breakeven, GPU economics, A100, H100, inference cost, fine-tuning cost, AI team, AI engineer, ML engineer, research scientist, MLOps, AI platform

## Quick Start

```bash
# Decision A: API vs fine-tune vs build
python scripts/model_buildvsbuy_calculator.py                          # embedded customer-support sample
python scripts/model_buildvsbuy_calculator.py path/to/use_case.json

The rest: https://github.com/alirezarezvani/claude-skills/blob/HEAD/c-level-advisor/chief-ai-officer-advisor/skills/chief-ai-officer-advisor/SKILL.md