Chaim 044de2c0f0 feat(learning): graduated gate — panel-consensus style lessons auto-flow to writer (P0) ...

The voice-learning panel produced 81 vetted style lessons — all stuck at
review_status='proposed' with 0 ever approved — so the writer (which reads only
'approved') received NONE of them. The system captured learning but never let it
flow. Chair decision (2026-06-28): a GRADUATED gate by content risk.

- STYLE lessons (categories style/structure/lexicon/tabular) the 2/2 panel kept →
  created as review_status='approved' → flow to the writer immediately, reversibly
  (chair vetoes in /training). The deepseek+gemini panel only emits style_method
  and only on 2/2 consensus, so this is exactly the gate's criterion; substance is
  already filtered out and skipped, and routes through the strict halacha gate.
- SUBSTANCE (halacha/precedent/fact) stays a HARD chair gate — unchanged.

style_lesson_panel.py: _review_status_for(category) sets the gate explicitly
(approved for _STYLE_CATEGORIES, else proposed); the apply loop passes it to
db.add_decision_lesson (which already accepts review_status — no DB change).

Spec: INV-LRN1 rewritten as the graduated gate (hard for substance; reversible
auto-flow for consensus style — still "under user control" via veto, per
NCSC/CEPEJ); §0.6 updated to match.

A one-time backfill of the 81 existing panel style lessons to 'approved' runs
separately (DB, post-merge).

Invariants: INV-LRN1 (amended — graduated), INV-LRN5 (style-only, substance never
auto-flows), G10 (human control preserved as reversible veto).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

2026-06-28 21:45:56 +00:00

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