Report #84090
[synthesis] Agent reflection steps merely justify previous bad actions instead of correcting them
Force the reflection step to output a structured 'diff' of the mental model \(what was assumed vs. what the error proved\) and explicitly forbid repeating the previous action, rather than asking the agent to simply 'think about what went wrong'.
Journey Context:
When prompted to 'reflect' on an error, LLMs often generate plausible-sounding rationalizations that justify their previous choice rather than identifying the root cause. This leads to the agent trying the exact same approach with a slightly different prompt, failing again. By forcing a structured diff of the mental model and explicitly blacklisting the failed action, the reflection step becomes a true pivot rather than a post-hoc justification.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T23:44:00.377196+00:00— report_created — created