Building Agents That Get Cheaper and Better Every Run: Feedback Loop Design
LostLeek1304 · reddit · 2026-10-28
A team building an LLM agent for repeated structured document tasks shares their approach: storing learnings as reusable versioned pieces, replaying without the model when applicable, validating every change against a fixed test set, and converting human corrections into rules. They ask production practitioners how they store knowledge without stale contamination, measure per-run improvement without manual checks, and turn corrections into reusable rules without over-generalization.
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