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>
4.6 KiB
4.6 KiB
Category Trend Analysis
Generated 2026-03-03 19:59 UTC — 361 drafts, 19 months, 19 categories
Growth Summary
| Category | Total | Last 3mo | Prev 3mo | Growth |
|---|---|---|---|---|
| A2A protocols | 120 | 58 | 54 | +7% |
| AI safety / guardrails / alignment | 1 | 1 | 0 | new |
| AI safety/alignment | 44 | 21 | 15 | +40% |
| Agent discovery / registration | 14 | 9 | 5 | +80% |
| Agent discovery/reg | 65 | 28 | 32 | -12% |
| Agent identity/auth | 108 | 46 | 51 | -10% |
| Agent-to-agent communication protocols | 16 | 11 | 5 | +120% |
| Autonomous netops | 93 | 38 | 40 | -5% |
| Autonomous network operations | 5 | 4 | 1 | +300% |
| Data formats / semantics for AI interop | 3 | 2 | 1 | +100% |
| Data formats/interop | 145 | 52 | 66 | -21% |
| Human-agent interaction | 30 | 9 | 17 | -47% |
| Identity / authentication for AI agents | 13 | 9 | 4 | +125% |
| ML traffic mgmt | 73 | 33 | 25 | +32% |
| ML-based traffic management / optimization | 1 | 1 | 0 | new |
| Model serving/inference | 42 | 22 | 14 | +57% |
| Other AI/agent | 26 | 13 | 9 | +44% |
| Policy / governance / ethical frameworks | 2 | 2 | 0 | new |
| Policy/governance | 91 | 42 | 31 | +35% |
Monthly Breakdown
| Month | A2A protocols | AI safety / gua | AI safety/align | Agent discovery | Agent discovery | Agent identity/ | Agent-to-agent | Autonomous neto | Autonomous netw | Data formats / | Data formats/in | Human-agent int | Identity / auth | ML traffic mgmt | ML-based traffi | Model serving/i | Other AI/agent | Policy / govern | Policy/governan | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024-01 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 5 |
| 2024-02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
| 2024-04 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
| 2024-09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 |
| 2024-10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 |
| 2024-12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 2025-01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 4 | 0 | 2 | 0 | 0 | 0 | 8 |
| 2025-04 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 | 10 |
| 2025-05 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 5 |
| 2025-06 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 3 | 0 | 1 | 0 | 0 | 1 | 12 |
| 2025-07 | 2 | 0 | 2 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 11 |
| 2025-08 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 6 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 16 |
| 2025-09 | 4 | 0 | 4 | 0 | 3 | 3 | 0 | 6 | 0 | 0 | 11 | 1 | 0 | 4 | 0 | 1 | 0 | 0 | 6 | 43 |
| 2025-10 | 26 | 0 | 5 | 2 | 13 | 23 | 2 | 19 | 0 | 1 | 35 | 7 | 1 | 13 | 0 | 9 | 5 | 0 | 10 | 171 |
| 2025-11 | 26 | 0 | 7 | 2 | 16 | 21 | 3 | 17 | 1 | 0 | 25 | 9 | 2 | 9 | 0 | 4 | 2 | 0 | 15 | 159 |
| 2025-12 | 2 | 0 | 3 | 1 | 3 | 7 | 0 | 4 | 0 | 0 | 6 | 1 | 1 | 3 | 0 | 1 | 2 | 0 | 6 | 40 |
| 2026-01 | 13 | 0 | 8 | 7 | 8 | 14 | 9 | 12 | 4 | 2 | 15 | 2 | 4 | 7 | 1 | 5 | 4 | 1 | 13 | 129 |
| 2026-02 | 36 | 1 | 12 | 2 | 17 | 29 | 2 | 18 | 0 | 0 | 32 | 6 | 5 | 15 | 0 | 8 | 8 | 1 | 23 | 215 |
| 2026-03 | 9 | 0 | 1 | 0 | 3 | 3 | 0 | 8 | 0 | 0 | 5 | 1 | 0 | 11 | 0 | 9 | 1 | 0 | 6 | 57 |
Fastest Growing Categories (early vs late half)
- AI safety / guardrails / alignment: new (0 -> 1 drafts)
- Agent discovery / registration: new (0 -> 14 drafts)
- Agent-to-agent communication protocols: new (0 -> 16 drafts)
- Autonomous network operations: new (0 -> 5 drafts)
- Data formats / semantics for AI interop: new (0 -> 3 drafts)
- Identity / authentication for AI agents: new (0 -> 13 drafts)
- ML-based traffic management / optimization: new (0 -> 1 drafts)
- Policy / governance / ethical frameworks: new (0 -> 2 drafts)
- A2A protocols: +11800% (1 -> 119 drafts)
- Agent discovery/reg: +6300% (1 -> 64 drafts)
- Agent identity/auth: +5200% (2 -> 106 drafts)
- Human-agent interaction: +2800% (1 -> 29 drafts)
- Autonomous netops: +2125% (4 -> 89 drafts)
- AI safety/alignment: +2000% (2 -> 42 drafts)
- Data formats/interop: +1871% (7 -> 138 drafts)
- Other AI/agent: +1100% (2 -> 24 drafts)
- Policy/governance: +1100% (7 -> 84 drafts)
- Model serving/inference: +850% (4 -> 38 drafts)
- ML traffic mgmt: +712% (8 -> 65 drafts)