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AI Agent Controllability: Check Before The Agent Acts
Most companies still find out what their AI agents did by reading a log after the fact. Stephen Forte explains controllability: a check that runs before the agent acts and can say no, five working guidelines, and a trend in which Mistral and ANZ are building the same kind of controls.
In this episode:
Controllability defined. A check that runs before the agent acts and decides whether the action is allowed. If the check says no, the action does not happen. A log afterward is not controllability.
Anthropic inference hooks. Now generally available on Claude Enterprise. Before Claude answers a…
The skinny
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