I turned Markdown into a protocol for generative UI
An AI assistant that builds reactive UIs mid-conversation — forms, streaming data, callbacks — using markdown code fences and a mount() UI primitive.
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There's a lot of work happening around both generative UI and code execution for AI agents. I kept wondering: how do you bring them together into a fully featured architecture? I built a prototype:
- Markdown as protocol — one stream carrying text, executable code, and data
- Streaming execution — code fences execute statement by statement as they stream in
- A mount() primitive — the agent creates React UIs with full data flow between client, server, and LLM
Let me know what you think!
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