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Every chapter now opens with capability-level learning objectives, closes with a numbered Chapter Summary you can use as a retrieval test, and ends with a Reinforcement Lab: hands-on exercises applied to your AI system, each with explicit success criteria your AI Coach evaluates live. New to this edition: How to Use This Guide (the read → lab → evaluate loop), a capstone — From Status Lights to Stewardship — and Appendix C: The AI/RQ Readiness Model and the AI Stewardship Transition Kit, which turns Day Zero's self-assessment into a maturity model you can score, track, and defend.
The discipline in these pages takes any AI system from red/yellow/green status lights to a measurable control trajectory — and prepares you for the CAIS (Certified AI Steward) path.
A living resource: as the frontier moves, the bar for "ready" moves with it, and your AI/RQ stays honest against the current standard rather than last year's.
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