Navigate AI buy vs build decisions
chief-ai-officer-advisorskillsetup L1★17,464
alirezarezvani/claude-skills ↗What it does
Advise on model build-vs-buy decisions
Best for
Strategic AI decisions when founders/CAIOs need 3-year TCO, regulatory risk tier, and API-vs-self-hosted breakeven for each use case.
Inputs
- · Use case description
- · QPS, latency budget, cost budget, quality SLO
- · EU AI Act risk tier, monthly token volume
Outputs
- · Build-vs-buy recommendation (API/fine-tune/in-house)
- · 3-year TCO comparison
- · Risk classification under EU AI Act + US state law
- · API-to-self-hosted breakeven month
Requires
- · Python stdlib
- · model_buildvsbuy_calculator.py
- · ai_risk_classifier.py
- · ai_cost_economics.py
Preconditions
Use case clearly scoped; QPS and latency budget known; no hallucination SLO means no ship decision possible
Failure modes
Fine-tuning recommended when frontier model is sufficient → sunk cost + ongoing retraining; self-hosted chosen at 50M tokens/month when API scales cheaper; risk tier misclassified as low when it's high-risk under EU AI Act
Trust signals
- · Includes concrete scripts and examples
- · Code examples provided
- · Known failure modes documented