Build Interactive Agents with Generative UI

Why It Matters

By delivering AI responses through interactive UI, companies can boost engagement and accelerate mainstream adoption of conversational agents.

Key Takeaways

• Generative UI lets agents return interactive forms, charts, buttons.
• Copilot Kit integrates AI agents directly into React front‑ends.
• Moving from plain‑text responses to rich UI accelerates mass adoption.
• Course builds a production‑ready full‑stack agent application for enterprises.
• AI‑driven interfaces signal shift from command‑line to user‑friendly apps.

Summary

This short course teaches developers to build AI agents that generate custom user interfaces instead of plain‑text replies. Partnered with Copilot Kit and led by co‑founder Atai Bakai, the program shows how to wire an agent directly into a React front‑end using the AGUI library.

Participants learn that generative UI enables agents to return forms, charts, buttons, and other interactive components, turning conversational output into actionable visual elements. By integrating Copilot Kit’s API with React, the course demonstrates a full‑stack workflow that produces a production‑ready agent application.

The instructor emphasizes that “all UI is becoming AI,” likening today’s text‑only bots to the command‑line era and predicting a shift similar to the Windows/Mac transition that made software mass‑market. The hands‑on project culminates in a deployable app that showcases these principles.

For businesses, this approach promises faster user adoption, richer data capture, and new revenue streams as AI moves from developer‑centric tools to consumer‑friendly experiences.

Original Description

Enroll now: https://bit.ly/4cPZYGJ

Introducing Build Interactive Agents with Generative UI, taught by Atai Barkai, co-founder of CopilotKit, the team behind the AG-UI protocol.

Most agents today still talk to users in plain text. But users don't just want to read a response, they want something to see and act on. This course teaches you to build that interactivity: a fullstack agent interface where the agent renders charts, forms, whiteboards, and interactive components on demand.

You'll work across the full Generative UI Spectrum, from hand-crafted components you control precisely, to declarative layouts the agent assembles from building blocks, all the way to open-ended experiences powered by MCP Apps. You'll finish by building a canvas application where the agent works alongside the user on shared data. By the end, you'll have a production-ready fullstack agent built on CopilotKit and AG-UI, an open protocol with first-party integrations across LangGraph, Google, AWS, Microsoft, and more.

Learn more: https://bit.ly/4cPZYGJ