Christian Nennemann
1ec1f69bee
Release prep: - Version bump to 0.3.0 (pyproject.toml, cli.py) - Rewrite README.md with current stats (475 drafts, 713 authors, 501 ideas) - Add CONTRIBUTING.md with dev setup and code conventions Blog site: - Add scripts/build-site.py (markdown → HTML with clean CSS, dark mode, nav) - Generate static site in docs/blog/ (10 pages) - Ready for GitHub Pages deployment Academic paper (paper/main.tex): - Update all counts: 474→475 drafts, 557→710 authors, 1907→462 ideas, 11→12 gaps - Add false-positive filtering methodology (113 excluded, 361 relevant) - Add cross-org convergence analysis (132 ideas, 33% rate) - Add GDPR compliance gap to gap table - Add LLM-as-judge caveats to rating methodology and limitations - Add FIPA, IEEE P3394, W3C WoT to related work with bibliography entries - Fix safety ratio to show monthly variation (1.5:1 to 21:1) Pipeline: - Fetch 1 new draft (475 total), 3 new authors (713 total) - Fix 16 ruff lint errors across test files - All 106 tests pass Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
47 lines
2.5 KiB
HTML
47 lines
2.5 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<title>Home — IETF AI Agent Analysis</title>
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<link rel="stylesheet" href="/blog/css/style.css">
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</head>
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<body>
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<div class="container">
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<nav><a href="/blog/" class="site-title">IETF AI Agent Analysis</a>
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<a href="/blog/posts/01-gold-rush.html">Rush</a>
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<a href="/blog/posts/02-who-writes-the-rules.html">Rules</a>
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<a href="/blog/posts/03-oauth-wars.html">Wars</a>
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<a href="/blog/posts/04-what-nobody-builds.html">Builds</a>
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<a href="/blog/posts/05-1262-ideas.html">Converge</a>
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<a href="/blog/posts/06-big-picture.html">Picture</a>
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<a href="/blog/posts/07-how-we-built-this.html">This</a>
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<a href="/blog/posts/08-agents-building-the-analysis.html">Analysis</a></nav>
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<h1>The AI Agent Standards Gold Rush</h1>
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<p><em>A data-driven analysis of 475 IETF Internet-Drafts on AI agents, autonomous systems, and machine learning protocols.</em></p>
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<p>The IETF is experiencing an unprecedented surge in AI/agent standardization activity.
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We built an automated analysis pipeline to make sense of it: 713 authors, 501 ideas,
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132 cross-organizational convergent ideas, and 12 identified gaps.</p>
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<h2>The Series</h2>
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<ul class="post-list">
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<li><a href="/blog/posts/01-gold-rush.html">Post 1: The Gold Rush</a></li><li><a href="/blog/posts/02-who-writes-the-rules.html">Post 2: Who Writes the Rules</a></li><li><a href="/blog/posts/03-oauth-wars.html">Post 3: The OAuth Wars</a></li><li><a href="/blog/posts/04-what-nobody-builds.html">Post 4: What Nobody Builds</a></li><li><a href="/blog/posts/05-1262-ideas.html">Post 5: Where Drafts Converge</a></li><li><a href="/blog/posts/06-big-picture.html">Post 6: The Big Picture</a></li><li><a href="/blog/posts/07-how-we-built-this.html">Post 7: How We Built This</a></li><li><a href="/blog/posts/08-agents-building-the-analysis.html">Post 8: Agents Building the Agent Analysis</a></li>
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</ul>
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<h2>About</h2>
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<p>This analysis was produced using the <a href="https://github.com/cnennemann/ietf-draft-analyzer">IETF Draft Analyzer</a>,
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an open-source Python tool that combines Claude for multi-dimensional rating and idea extraction
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with Ollama for semantic embeddings. Total API cost: ~$9-15.</p>
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<p><a href="/blog/posts/00-series-overview.html">Read the series overview →</a></p>
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<footer>
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<p>IETF Draft Analyzer — Data collected through March 2026.
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<a href="https://github.com/cnennemann/ietf-draft-analyzer">Source on GitHub</a></p>
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</footer>
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</div>
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</body>
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</html> |