ietf-draft-analyzer

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Author	SHA1	Message	Date
Christian Nennemann	d6beb9c0a0	v0.3.0: Gap-to-Draft pipeline, Living Standards Observatory, blog series 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
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

Author

SHA1

Message

Date

Christian Nennemann

d6beb9c0a0

v0.3.0: Gap-to-Draft pipeline, Living Standards Observatory, blog series

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

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

2 Commits