autonomous agent retraining cookbook v1 #2220
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Summary
Briefly describe the changes and the goal of this PR. Make sure the PR title summarizes the changes effectively.
Motivation
Why are these changes necessary? How do they improve the cookbook?
Agentic systems often reach a plateau after proof-of-concept because they depend on humans to diagnose edge cases and correct failures. This cookbook introduces a repeatable retraining loop that captures those issues, learns from the feedback, and promotes improvements back into production-like workflows. We ground the approach in a regulated healthcare documentation task, but the patterns generalize to any domain that demands accuracy, auditability, and rapid iteration.
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