Agents need generative UI ai aiagents coding chatgpt learntiktok

Generative UI is a new UI approach for agents, which does not need hard-coded screens, static chat boxes, walls of text, and your agent still shows buttons, cards, and forms, all generated at runtime. It means instead of your agent only sending text, it sends actual interface components. The UI adapts to the user's intent. CopilotKit supports three approaches to do this. Let's look at each one. The first approach is static generative UI. Here, you pre-build your React components, like a weather card, a loading spinner, whatever you need. The agent's only job is to decide when to show them and what data to pass in. Look at this. You register a tool called GetWeather using UseFrontEndTool. The agent calls the tool, the front end renders your pre-built component. Clean, safe, fully in your control. The second approach is declarative generative UI, using specs like Google's A2 UI or OpenJSON UI. Here, the agent returns a structured JSON description of the UI at once. Cards, lists, forms, buttons. And your front end renders it. Then on the front end, you hook in the A2 UI renderer, one line, and CopilotKit handles the rest. The agent now has more freedom. It can compose different UI layouts. But it's still safe, because it only uses components from a pre-approved catalog. No raw code execution. The third approach is open-ended generative UI using MCP apps. This is the most flexible. The agent returns a full UI surface, like an entire embedded app, and your front end just hosts it. You attach MCP apps middleware to your agent, point it to an MCP server, and now external apps can render their own interactive UI right inside your chat. Maximum power, but you trade off consistency and security. Its complete breakdown is in my school community. Link is in bio.