Agentic AI: approve the exact action, not the vague intention
Narrow tools, independent authorization, exact-effect approval, and stopping rules for assistants that can take external actions.
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Safe automation
Follow safe automation across the Messg Lab field notes.
follow the useful questions
A little reading context
Start with the boundary.
Keep suggestions distinguishable from facts and actions bound to real authority. These readings cover intake classification, answer evidence, and review gates for action-taking assistants.
Grounded AI chat: useful answers need an evidence boundary
A practical review of source curation, retrieval, uncertain answers, evaluation, and the line between answering and acting.
Read the field notes
CRM intake: turn a message into a clear next action
Preserve the original request, distinguish people from inquiries, and give the next action an owner without inventing customer intent.
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Put the reading to work.
Use the related topic guides to turn a broad idea into a concrete review. Each guide names a few important decisions, a starting sequence, and an assumption worth checking before implementation.
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