Christian Nennemann
d6beb9c0a0
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>
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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:
- DAAP v2 (Distributed AI Accountability Protocol) — 4.75
- EDHOC Application Profiles — 4.75
- 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.