d6beb9c0a0
v0.3.0: Gap-to-Draft pipeline, Living Standards Observatory, blog series
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Gap-to-Draft Pipeline (ietf pipeline):
- Context builder assembles ideas, RFC foundations, similar drafts, ecosystem vision
- Generator produces outlines + sections using rich context with Claude
- Quality gates: novelty (embedding similarity), references, format, self-rating
- Family coordinator generates 5-draft ecosystem (AEM/ATD/HITL/AEPB/APAE)
- I-D formatter with proper headers, references, 72-char wrapping
Living Standards Observatory (ietf observatory):
- Source abstraction with IETF + W3C fetchers
- 7-step update pipeline: snapshot, fetch, analyze, embed, ideas, gaps, record
- Static GitHub Pages dashboard (explorer, gap tracker, timeline)
- Weekly CI/CD automation via GitHub Actions
Also includes:
- 361 drafts (expanded from 260 with 6 new keywords), 403 authors, 1,262 ideas, 12 gaps
- Blog series (8 posts planned), reports, arXiv paper figures
- Agent team infrastructure (CLAUDE.md, scripts, dev journal)
- 5 new DB tables, schema migration, ~15 new query methods
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-03-04 00:48:57 +01:00
be9cf9c5d9
v0.2.0: visualizations, interactive browser, arXiv paper, gap analysis
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New features:
- 12 interactive visualizations (ietf viz): t-SNE landscape, similarity
heatmap, score distributions, timeline, bubble explorer, radar charts,
author network graph, category treemap, quality vs overlap, org bar chart,
ideas chart, and interactive draft browser
- Interactive draft browser (browser.html): filterable by category, keyword,
score sliders with sortable table and expandable detail rows
- arXiv paper (paper/main.tex): 13-page manuscript with all findings
- Gap analysis: 12 identified under-addressed areas
- Author network: collaboration graph, org contributions, cross-org analysis
- Draft generation from gaps (ietf draft-gen)
- Auto-load .env for API keys (python-dotenv)
New modules: visualize.py, authors.py, draftgen.py
New reports: timeline, overlap-matrix, authors, gaps
New deps: plotly, matplotlib, seaborn, scipy, scikit-learn, networkx, python-dotenv
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-02-28 13:37:55 +01:00
f44f9265bd
Add SQLite database with 260 analyzed drafts
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Includes all draft metadata, full text, Claude ratings (cached),
and nomic-embed-text embeddings. This is the expensive data —
~114k tokens of Claude analysis + 260 Ollama embeddings.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-02-28 00:49:18 +01:00