Detect AI agent hallucinations without labeled data. Zero-shot LSC detection, claim decomposition, and real-time guardrails. Python code included.
Your AI agent returns confident answers. Half of them are fabricated. Standard metrics say everything's fine.
This is the silent failure problem: agents that hallucinate facts, drift into unsafe behavior, and pass binary pass/fail tests. Research shows binary metrics miss 65-93% of safety issues (AgentDrift, March 2026). You need detection techniques that run during execution, not just at the end.
What You'll Learn
Zero-shot hallucination detection — Catch fabricated facts without labeled training data using LSC and Spilled Energy metrics
