Run pipeline, write Post 08, commit untracked files

Pipeline:
- Extract ideas for 38 new drafts → 462 ideas total
- Convergence analysis: 132 cross-org convergent ideas (33% rate)
- Fetch authors for 102 drafts → 709 authors (up from 403)
- Refresh gap analysis: 12 gaps across full 474-draft corpus
- Update verified counts with new totals

Post 08:
- Complete rewrite of "Agents Building the Agent Analysis" (2,953 words)
- Covers 3 phases: writing team → review cycle → fix cycle
- Meta-irony table mapping team coordination to IETF gap names
- Specific examples from dev journal (SQL injection, consent conflation, ideas mismatch)

Untracked files committed:
- scripts/: backfill-wg-names, classify-unrated, compare-classifiers, download-relevant-text, run-webui
- src/ietf_analyzer/classifier.py: two-stage Ollama classifier
- src/webui/: analytics (GDPR-compliant), auth, obsidian_export
- tests/test_obsidian_export.py (10 tests)
- data/reports/: wg-analysis, generated draft for gap #37

Housekeeping:
- .gitignore: exclude LaTeX artifacts, stale DBs, analytics.db

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

scripts/classify-unrated.py

@@ -0,0 +1,39 @@
+#!/usr/bin/env python3
+"""Classify unrated drafts using Ollama two-stage filter."""
+
+import sqlite3
+import sys
+sys.path.insert(0, "src")
+
+from ietf_analyzer.classifier import Classifier
+from ietf_analyzer.config import Config
+
+cfg = Config.load()
+conn = sqlite3.connect(cfg.db_path)
+conn.row_factory = sqlite3.Row
+
+# Get unrated drafts
+rows = conn.execute("""
+    SELECT name, title, abstract, source FROM drafts
+    WHERE name NOT IN (SELECT draft_name FROM ratings)
+    ORDER BY source, name
+""").fetchall()
+
+drafts = [dict(r) for r in rows]
+print(f"Classifying {len(drafts)} unrated drafts...\n")
+
+with Classifier(cfg) as clf:
+    relevant, irrelevant = clf.classify_batch(drafts, verbose=True)
+
+print(f"\n--- RELEVANT ({len(relevant)}) ---")
+for d in relevant:
+    print(f"  [{d['source']}] {d['name']}")
+    print(f"    {d['title'][:100]}")
+
+print(f"\n--- IRRELEVANT ({len(irrelevant)}) ---")
+for d in irrelevant:
+    print(f"  [{d['source']}] {d['name']}")
+    print(f"    {d['title'][:100]}")
+
+print(f"\nSummary: {len(relevant)} relevant, {len(irrelevant)} irrelevant out of {len(drafts)}")
+conn.close()