In this video I demo something that still kind of blows my mind: an AI agent generating an entire personalized UI in real time based on whatever research markdown I paste in. Nothing is preconfigured. The agent analyzes the content, decides what the layout should be, and picks which components to render on the fly—key findings, action items, tables, resources, whatever it thinks is the most concise way to share the information back to me. This was basically my cure for “markdown fatigue,” because I’ve gotten so sick of parsing walls of text from my second brain research. I break down what generative UI actually is (the agent helps decide what appears on screen, how it’s structured, and even the layout), why it matters way beyond dashboards, and where I think software is heading (ultra-personalized experiences where two users don’t see the same app). Then I walk through the stack and architecture I built: Pydantic AI as the backend agent choosing components + layout, Google’s A2UI spec as the declarative contract for component JSON, AG-UI to stream events and keep the frontend in sync, and CopilotKit to make the whole interactive UI layer actually easy in React. The big takeaway: declarative generative UI (component library + agent choice) is the sweet spot—flexible, but still bounded for security and reliability.