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d6beb9c0a0254c14f8e7d78c387de3fcdf4aeea9
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Author SHA1 Message Date
Chris Nennemann
be9cf9c5d9 v0.2.0: visualizations, interactive browser, arXiv paper, gap analysis 
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
Chris Nennemann
f44f9265bd Add SQLite database with 260 analyzed drafts 
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
Chris Nennemann
6771a4c235 IETF Draft Analyzer v0.1.0 — track, categorize, and rate AI/agent drafts 
Python CLI tool that fetches AI/agent-related Internet-Drafts from the IETF
Datatracker, rates them using Claude, generates embeddings via Ollama for
similarity/clustering, and produces markdown reports.

Features:
- Fetch drafts by keyword from Datatracker API with full text download
- Batch analysis with Claude (token-optimized, responses cached in SQLite)
- Embedding-based similarity search and overlap cluster detection
- Reports: overview, landscape by category, overlap clusters, weekly digest
- SQLite with FTS5 for full-text search across 260 tracked drafts

Initial analysis of 260 drafts reveals OAuth agent auth (13 drafts) and
agent gateway/collaboration (10 drafts) as the most crowded clusters,
while AI safety/alignment is underserved with the highest quality scores.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-28 00:36:45 +01:00