AI Agents Should Verify Before They Act
Read OriginalThis article explores engineering patterns for AI agent verification in incident response. It argues agents should run diagnostics that distinguish competing explanations rather than repeat checks, enforce access and resource limits outside the model, and stop when further investigation isn't justified. It also stresses keeping evidence, approval, execution, and service recovery as separate states, so a supported diagnosis can justify a change proposal but never grant execution permission.
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