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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AI & agents
Evidence-aware answers, narrow permissions, and reviewable actions.
follow the useful questions
A little reading context
Start with the boundary.
Begin with the smallest useful AI task. An assistant that drafts from approved material needs a different control model from an agent that changes records. These guides connect answer evaluation with permissions, exact-action approval, stopping conditions, and human handoffs.
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.
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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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