A data-driven analysis of 475 IETF Internet-Drafts on AI agents, autonomous systems, and machine learning protocols.
The IETF is experiencing an unprecedented surge in AI/agent standardization activity. We built an automated analysis pipeline to make sense of it: 713 authors, 501 ideas, 132 cross-organizational convergent ideas, and 12 identified gaps.
This analysis was produced using the IETF Draft Analyzer, an open-source Python tool that combines Claude for multi-dimensional rating and idea extraction with Ollama for semantic embeddings. Total API cost: ~$9-15.