The Instrumentation Crisis: Why AI Agent Hallucination Detection Fails

AI teams cannot quantify hallucinations because they discard the evidence needed for detection—tool outputs and retrieved context. Current detection methods like self-consistency checks and asking the model itself miss stable, systematic failures that occur reliably in production. Proper instrumentation is essential for deploying trustworthy AI agents at scale.