A developer organizes AI adoption around five questions: purpose, conditions for independent execution, verification, delegation and learning. Real work requires appropriate tools and permissions, and separate repositories do not automatically isolate a shared database. Passing tests does not prove that requirements are correct, so the proposed feedback loop reserves costly or hard-to-reverse judgments for people. Documents and decision records should be judged by whether they prevent repeated mistakes rather than by their volume. The essay describes intentions and reflection; it does not yet provide quantitative evidence of improved productivity.
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An AI-learning essay puts execution and verification ahead of document volume
The author outlines an experimental approach, not measured proof of productivity gains.