late-night-regrets

name	late-night-regrets
description	Nightly Bayesian interaction-quality classifier — flags behavioral patterns from chat history and writes self-improvement reflections without spending model tokens on classification.
distribution	public

Late Night Regrets

A lightweight, zero-token-cost interaction-quality classifier that runs nightly to identify behavioral patterns worth improving.

What it does

1. Trains a Multinomial Naive Bayes classifier on the full chat message history
2. Classifies every user message that follows an agent turn into quality categories
3. Flags attention-worthy messages (corrections, misinterpretations, under-deliveries)
4. Triggers a short agent reflection pass that reads flagged messages, identifies patterns, and writes learnings to notes

Categories

Label	Meaning
successful_execution	Agent fulfilled the request correctly; user approved or moved on
course_correction	User had to steer, clarify, or redirect
misinterpretation	Agent misread intent; user explicitly corrected
over_engineering	Agent did too much; user asked to simplify
under_delivery	Agent gave too little; user pushed for more