cyberneticlibrary

Navigate AI buy vs build decisions

chief-ai-officer-advisorskillsetup L117,464
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