Surfaces earned auto-apply + its observability in Settings → Tagging → Concept
heads:
- Auto-apply section: an on/off switch (writes head_auto_apply_enabled), the
precision-target + min-examples-to-fire tuning inputs, a Preview (dry-run →
"would apply N", per-concept chips) and Apply-now button, with live run state.
- "How auto-apply is landing": per-concept table from /api/heads/metrics —
applied volume, misfires, realized misfire rate (green/amber/red), and missed
(under-fires) — the signal to tune the precision target from.
store: autoApply(dryRun) / autoApplyStatus() / metrics(). Card polls the sweep
to completion, then refreshes counts + metrics. Completes the auto-apply task.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
The UI for the heads subsystem: Settings → Tagging → "Concept heads". Shows
head count, auto-apply-ready count, and last-trained; a Train/Retrain button
(one run at a time, polls while running, surfaces a failed run's error); an
empty state guiding the operator to tag first; and a per-concept table (name,
category, +tags, AP, P, R, auto-apply ⚡) sorted strongest-first so weak/under-
tagged concepts are obvious. Rehydrates status from GET /api/heads on mount so
it survives navigation. Pulls head_min_positives from ML settings for copy.
Slice C (swap the rail's suggestions to heads, remove Camie + centroid) is next.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa
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