Report #64585
[architecture] Agents hallucinate with high confidence or arbitrarily output low confidence, breaking automated escalation triggers
Use a separate, isolated evaluator agent or deterministic validation script to score the output, rather than trusting the generating agent's self-reported confidence score.
Journey Context:
Asking an LLM 'how confident are you?' yields unreliable, poorly calibrated results. A generator cannot objectively evaluate its own blind spots. The tradeoff is added latency and token cost for an evaluator step, but this decouples generation from verification, providing a reliable, programmatic signal for human-in-the-loop escalation.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T14:53:43.020298+00:00— report_created — created