Visual dashboard at #/style-report with 4 sections:
- Hero: 24 decisions, char counts, subject donut, timeline
- Anatomy: average section-length breakdown (intro → ruling → conclusion)
- Signature Phrases Wall: pattern cards with real corpus frequencies, filter
chips by type, click → modal with examples
- Contribution: per-decision "new vs confirmed" patterns, growth curve SVG
Backend:
- /api/training/style-report endpoint computes all 4 sections in one call
- Headlines in Hebrew are computed server-side from real data
- Backfill script for style_patterns.frequency using _strip_nikud +
pattern-variant extraction (templates with [placeholders], / alternatives,
ellipsis all handled)
Real findings from the 24-decision corpus:
- דיון משפטי = 49% of avg decision (the focus)
- 23/24 use "לפנינו ערר" opening formula
- 21/24 use "ניתנה פה אחד" closing
- After 7 decisions we already learned 85% of her style patterns
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Chaim
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