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>

data/reports/blog-series/data/surprising-findings.md

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+# Surprising Findings — Deep Analysis Phase
+
+These findings challenge assumptions or reveal unexpected patterns in the 361-draft corpus.
+
+## 1. The Keyword Expansion Uncovered a Different Community
+
+The 101 new drafts from keywords (mcp, agentic, inference, generative, intelligent, aipref) brought:
+- **154 new authors** (557 total, up from 403)
+- **46 new organizations** (230 total, up from 184)
+- Heavy skew toward ML infrastructure: "ML traffic mgmt" went from 23 to 73 drafts, "Model serving/inference" from 13 to 42
+
+This means the original analysis systematically missed the ML infrastructure community. The "agent" keyword captured the protocol designers; "inference" and "generative" captured the infrastructure builders. These are largely separate communities working on adjacent problems.
+
+## 2. The Safety Ratio Improved — But It's an Illusion
+
+The safety ratio went from 4:1 (260 drafts) to ~8:1 by tag count but the improvement is because the ML infrastructure drafts have broader category tags (many touch "safety" tangentially through network reliability). The core agent protocol space remains deeply safety-deficient.
+
+## 3. Huawei's Nov 2025 Coordinated Campaign
+
+Five Huawei authors each submitted 19-21 drafts in a single month (Nov 2025). This is the largest coordinated submission campaign in the dataset. Zhenbin Li, Qiangzhou Gao, and Xiaotong Shang all published exclusively in Nov 2025. This looks like a strategic push timed for IETF 121 (Dublin, Nov 2025).
+
+## 4. Quality Inversely Correlates with Quantity
+
+| Pattern | Examples | Avg Composite |
+|---------|----------|---------------|
+| High volume, low quality | Huawei (57 drafts, 3.11), CAICT (6, 2.35), Futurewei (6, 2.67) | ~2.7-3.1 |
+| Low volume, high quality | AWS (3, 4.38), Aiiva.org (3, 4.42), Mozilla (4, 3.81) | ~3.8-4.4 |
+| Exception | Tsinghua (16, 3.53), Five9 (10, 3.75) | High both |
+
+The top-rated organizations are nearly all low-volume Western/independent contributors. Volume does not predict quality.
+
+## 5. The Agent Ecosystem is Being Built in Security WGs, Not Agent WGs
+
+19 of 36 WG-adopted drafts (53%) are in security WGs (lamps, lake, tls, emu, ace). Only 2 are in the agent-specific "aipref" WG. The IETF isn't creating new infrastructure for agents — it's adapting existing security infrastructure. This is arguably the right approach but means agent-specific concerns (behavior verification, human override) have no natural WG home.
+
+## 6. The 14-Author Mega-Draft Consortium
+
+One draft about AI inference networking has 14 co-authors from 14 different organizations (Hygon, China Mobile, Tencent, Huawei, Broadcom, Ruijie, Metanet, Biren, Baidu, Moore Threads, Resnics, Centec, Cloudnine, Enflame). This is by far the broadest cross-org collaboration in the dataset — and it's focused on ML infrastructure, not agent protocols.
+
+## 7. Jonathan Rosenberg Is the Western Counterweight
+
+Five9's Jonathan Rosenberg (9 drafts, composite 3.75) is the only Western individual matching Huawei's output volume. His drafts (AAuth, NACT, aiproto) represent a coherent vision for agent communication — arguably the closest thing to a Western "ecosystem proposal" matching Huawei's breadth.
+
+## 8. The Accountability Drafts Are the Best-Scored
+
+The top 3 drafts by composite score are ALL about accountability/verification:
+1. DAAP v2 (Distributed AI Accountability Protocol) — 4.75
+2. EDHOC Application Profiles — 4.75
+3. VOLT (Verifiable Operations Ledger and Trace) — 4.75
+
+The market is hungry for safety/accountability solutions — when they appear, they're rated highest. The problem isn't that safety work is unwanted; it's that few teams are doing it.
+
+## 9. OAuth 2.0 Is the Undisputed Foundation
+
+RFC 6749 (OAuth 2.0) is cited by 36 drafts — more than any non-boilerplate RFC. The agent identity ecosystem is essentially an OAuth ecosystem. Any agent auth approach that doesn't build on OAuth will face adoption headwinds.
+
+## 10. Two Gaps Have Zero Institutional Backing
+
+"Agent Firmware/Model Update Security" and "Agent Energy Consumption Optimization" have zero WG-adopted drafts addressing them. These represent the intersection of importance and neglect — critical infrastructure needs that no working group has prioritized.