#88 (DB↔file, lessons #35): drafts/decision.md דרסה את עצמה רק ב-save_block_content;
renumber_all_blocks + נתיבי store_block אחרים השאירו את הקובץ stale → QA נכשל
פעמיים על אותה בעיה (CMPA-62). תיקון: _update_draft_file הפך ל-hook אוטומטי
(מקבל decision_id, מאתר case פנימית) שנקרא מ-store_block (כל persist) ומ-
renumber_all_blocks. legal-qa ממילא קורא מ-DB → שני הצדדים זהים תמיד.
#87 (claims_coverage, 1033-25): טענות מתכתובת (claim_type='reply' — תגובה/
השלמת-טיעון) סומנו "לא נענו" כ-false-positive. תיקון: check_claims_coverage
דורש מענה רק לטענות כתב-הערר (claim_type='claim', appellant); reply/תכתובת
מוחרגות. בקבלה מלאה הסף מוקל (0.2→0.4) כי העורר זכה במלואו.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
#34 don't manufacture doubt about unambiguous statutes (s.19(ג)(2));
#35 writer/QA two-sources-of-truth sync gap (DB vs drafts/decision.md).
Output of the weekly-feedback-analysis job, pending commit.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
A/B test (2026-05-05) showed DeepSeek V4-Pro is 2-3x faster and ~20x cheaper
than Sonnet for style/lexicon pattern analysis, with comparable quality.
Adds adapters/deepseek-paperclip-adapter/ package, documents adapter requirements
(env injection, run-id headers), updates CLAUDE.md with adapter integration notes,
and records lessons from ערר 1200-25 (block order for 1xxx, "להלן מתוך" pattern,
expanded factual background, bridge planning analysis, flat heading structure).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Comparison of our draft (טיוטה-v6, 2,126 words) against Dafna's final
decision (עריכה-v2, 2,299 words). 14 lessons (#20-#33) covering what
the draft got right and where she rebuilt the discussion.
Key findings:
- Lesson #20: Match doctrinal depth to legal uncertainty. In clean
acceptance the committee's OWN conditions provide the anchor — no
CREAC framework needed. The draft's 101-word "נבאר" doctrinal
paragraph was deleted entirely.
- Lesson #21: Plant analytical seeds in the background ("ודוק"
foreshadowing) for technical planning distinctions.
- Lesson #23: Concrete documentary evidence (specific permits in
buildings 5, 7, 11) beats generic statements.
- Lesson #25: Counter-factual reasoning — "approved by mistake" gives
the committee benefit of the doubt while strengthening reversal.
- Lesson #26: Engineer counter-factual — "had he known the shadow plan
was not feasible, his opposition would have been even stronger".
- Lesson #27: "אכן...אולם" / "לא נעלם מעינינו" patterns are for
rejection, NOT acceptance. Don't use prophylactically.
- Lesson #28: "ונפרט;" (ו prefix + semicolon), never "נפרט." with
period.
- Lesson #33: Full acceptance against permit applicant → no expenses
to either side.
New transition phrases catalogued: "דיון עקר", "אושרה מתוך טעות כי הרי
לא נוכל להניח כי אושרה למראית עין", "ועדת הערר אפשרה מרחב של זמן
בתקווה כי ההחלטה תתייתר", "להלן כדוגמא מתוך", "ברי כי הכוונה ל...".
Several of these lessons fed directly into daphna-acceptance-architecture.md
(template A) and daphna-decision-tree.md from the recent voice corpus
work; this file remains the case-study record.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
"בית ספר להחלטות" Phase 2 — the system now has formal analytical
methodology for building quasi-judicial decisions, separate from
Dafna's writing style (SKILL.md) and content checklists.
What was done:
- Downloaded 5 authoritative sources (~341K words): FJC Judicial
Writing Manual (1991+2020), Garner Legal Writing in Plain English,
Posner How Judges Think, Scalia/Garner Making Your Case
- Extracted principles from all sources into intermediate docs
- Synthesized into docs/decision-methodology.md (3,400 words,
12 sections, 10 guiding principles)
- Integrated methodology into block-yod prompt via {methodology_guidance}
- Restructured legal-writer agent workflow to follow analytical stages
- Made "answer all claims" flexible (bundle/skip via chair_directions)
- Added methodology compliance check (#7) to legal-qa agent
- Updated all knowledge files (CLAUDE.md, SKILL.md, lessons, corpus)
Three-layer architecture:
1. Methodology (decision-methodology.md) — universal, how to think
2. Content checklists (lessons.py) — specific per appeal subtype
3. Style (SKILL.md) — Dafna's personal writing patterns
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
