Promote confirmed judgment predictions into lessons #1240

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opened 2026-10-22 22:29:50 +00:00 by jared · 0 comments
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Problem

Agents classify each ruling by decision stakes tier: mechanical, low-stakes, or judgment. They call /os-me:predict only for judgment rows. Today a confirmed prediction teaches nothing. The next agent meets the same kind of decision and calls predict again.

When a judgment prediction has high confidence and Jared confirms it or does not reverse it, the deciding reason must become a lesson, a lint or detector lesson text, or a skill instruction. Then the next agent classifies that kind of decision as mechanical or low-stakes and decides it without predict.

Jared's goal, 2026-10-22: "Over time the agents should rely less and less on me and similarly less and less on /os-me:predict as well. That's what all of the lint lessons and detector lessons are about. Giving the AI the instructions and clarity it needs to always make the right choice."

Needs: a way to find confirmed high-confidence predictions in the Store prediction log (~/dev/os-me-store), group them by decision kind, and propose the lesson.

Reproduce

n/a: design ticket

Origin

  • Trigger: Jared stated this goal in session 207dfa34
  • Improvised this session: none
  • Chain: repeated predict calls on one decision kind <- no path from a confirmed prediction to lesson text. DESIGN (os-me predict skill, Store prediction log)
  • Root candidate: none found; searched predict, prediction log, lesson, promote, confirmed, stakes, mechanical, os-me, detector lesson, Relay
  • Where: plugins/os-me (predict skill, Store prediction log) and plugins/os-sdlc (fast-batch, crc-refactor lessons)
  • Session: 207dfa34-e3c6-4e15-9823-00c0208b1d38
  • Transcript: /home/jared/.claude/projects/-home-jared-dev-cc-os/207dfa34-e3c6-4e15-9823-00c0208b1d38.jsonl

VERDICT: CREATE

## Problem Agents classify each ruling by decision stakes tier: mechanical, low-stakes, or judgment. They call /os-me:predict only for judgment rows. Today a confirmed prediction teaches nothing. The next agent meets the same kind of decision and calls predict again. When a judgment prediction has high confidence and Jared confirms it or does not reverse it, the deciding reason must become a lesson, a lint or detector lesson text, or a skill instruction. Then the next agent classifies that kind of decision as mechanical or low-stakes and decides it without predict. Jared's goal, 2026-10-22: "Over time the agents should rely less and less on me and similarly less and less on `/os-me:predict` as well. That's what all of the lint lessons and detector lessons are about. Giving the AI the instructions and clarity it needs to always make the right choice." Needs: a way to find confirmed high-confidence predictions in the Store prediction log (~/dev/os-me-store), group them by decision kind, and propose the lesson. ## Reproduce n/a: design ticket ## Origin - Trigger: Jared stated this goal in session 207dfa34 - Improvised this session: none - Chain: repeated predict calls on one decision kind <- no path from a confirmed prediction to lesson text. DESIGN (os-me predict skill, Store prediction log) - Root candidate: none found; searched predict, prediction log, lesson, promote, confirmed, stakes, mechanical, os-me, detector lesson, Relay - Where: plugins/os-me (predict skill, Store prediction log) and plugins/os-sdlc (fast-batch, crc-refactor lessons) - Session: 207dfa34-e3c6-4e15-9823-00c0208b1d38 - Transcript: /home/jared/.claude/projects/-home-jared-dev-cc-os/207dfa34-e3c6-4e15-9823-00c0208b1d38.jsonl VERDICT: CREATE
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jared/cc-os#1240
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