AI Agent Reliability: Test the Whole Coordination Loop
Read OriginalThis article explores how to test AI agent reliability beyond single model responses or tool calls. It proposes testing the complete coordination loop: preserving evidence, enforcing authority, handling uncertain outcomes, and verifying results when components fail. It covers duplicate delivery, delayed evidence, interrupted execution, and policy changes, with separate measures for safe behavior and useful task completion.
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