Agent AI Messg™
Let the assistant propose. Define who may act.
An action-taking assistant needs a tighter boundary than a drafting tool. Specify available actions, required authorization, and how the resulting effect is confirmed.
Three decisions to make first.
Expose narrow actions
A tool that performs one well-defined operation is easier to review than a general command channel. Specify the object, recipient, scope, and allowed parameters before the model proposes an action.
Check authority independently
A plausible explanation is not authorization. The system responsible for an action should check the acting identity and permissions without relying on the model to certify its own request.
Review the exact effect
Approval should show what will change, where, and for whom. If the proposed recipient, content, or parameters change, the review should be reconsidered rather than carried over silently.
A useful starting sequence.
- List allowed actions and their required authority.
- Bind approval to the exact proposed effect.
- Track execution results and recovery separately.
What not to assume.
A confirmation button is not a complete safety architecture. Review permissions, data boundaries, retries, and uncertain results as part of the whole action path.
For a practical review, describe the intended audience, the information crossing each boundary, and the person responsible when the ordinary path fails.
One useful question.
Can an assistant send a reply after drafting it?
That depends on the explicitly authorized workflow. Drafting and sending are separate capabilities; the transition should have clear permission, review, and outcome rules rather than happening by implication.
Keep the idea moving.
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.
Read the complete guideExplore nearby topics in the same part of the message journey.
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