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Chief AI Officer Plan Review

alirezarezvanibyalirezarezvani
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29k
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Data Science & ML

Evaluates and pressure-tests AI product plans, cost economics, compliance risks, and evaluation criteria before launch or vendor commitments.

The Chief AI Officer Plan Review skill serves as an executive evaluation harness that pressure-tests AI-driven initiatives before product launch or major financial commitments. Acting as an eval-demanding CAIO, it subjects proposals to six essential gating questions covering dataset evaluation rigor, hallucination Service Level Objectives (SLOs) and fallbacks, EU AI Act regulatory tiering, build vs. buy model trade-offs, 12-month token cost projections, and organizational hiring readiness. By automating risk classification and unit economics calculations, engineering and product leaders can transition from subjective AI hype to quantifiable, legally compliant, and cost-effective deployments.

Key Features

01Enforces mandatory evaluation sets and quantified hallucination SLOs prior to feature deployment
02Audits organizational team structure and identifies critical prerequisite AI engineering roles
03Calculates build vs. fine-tune vs. API economic breakevens and 12-month TCO projections
04Delivers structured executive verdicts (Ship, Sharpen, Block) with prioritized action items
0529,078 GitHub stars
06Classifies compliance risk under the EU AI Act across Prohibited, High, Limited, and Minimal tiers

Use Cases

01Determining EU AI Act regulatory obligations and conformity assessment needs for global expansion
02Evaluating the financial and architectural trade-offs of self-hosting vs. proprietary model APIs
03Auditing an AI feature rollout plan to establish evaluation sets and fallback mechanisms