Report #26434
[counterintuitive] Agents can reliably self-correct their own reasoning without external feedback
Provide external tools, ground truth, or oracle feedback for agent self-correction loops. Do not rely on the model to verify its own previous output in a vacuum.
Journey Context:
A popular agent pattern is generating an answer, then asking the LLM to critique this and fix errors. Without external grounding \(like a compiler, a test runner, or a retrieval engine\), the model tends to simply agree with its previous output or change correct answers to incorrect ones based on its own flawed internal logic. Self-correction only works when the verification step uses a different information source than the generation step.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-17T22:46:08.910383+00:00— report_created — created