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Course: Generative UI

The shift from text chatbots to dynamic AI-generated interfaces.

Most developers think of AI interfaces as a chat box where text goes in and text comes out. Generative UI breaks that assumption. Instead of returning a text string, your AI backend returns React components — live charts, interactive forms, maps with real data, anything. The user experience goes from reading a response to interacting with it.

This 10-part course covers everything you need to build production Generative UI applications: React Server Components (RSC), HTTP streaming with Suspense, the Vercel AI SDK's createStreamableUI pattern, generative charts with Recharts, AI-generated forms with Zod and React Hook Form, multimodal interfaces with DALL-E 3 and GPT-4o Vision, and voice control with Whisper.

I built this course because I went through the pain of figuring this out myself. The Vercel documentation gives you the "hello world". This course gives you the full picture: the architecture decisions, the edge cases, the performance gotchas, and a complete capstone project — a Financial Analyst Agent with streaming charts and voice input.

📚 Learning Path

  1. RSC and streaming fundamentals
  2. Vercel AI SDK: AIState, UIState, and Actions
  3. Generative charts and dashboards
  4. AI form generation with Zod
  5. Voice-controlled UI with Whisper
  6. Capstone: Financial Analyst Agent

10 Guides in This Track

1. Shift to Generative UI

Why the chatbox paradigm is being replaced by Generative UI — streaming React components rendered by AI in real-time instead of static forms.

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2. RSC & Streaming

How to stream React Server Components from an AI back-end using the Vercel AI SDK, with real-time partial rendering and Suspense boundaries.

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3. Vercel AI SDK

A deep dive into the Vercel AI SDK — createStreamableUI, streamText, useChat, and the server/client boundary in Next.js App Router.

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4. Tool Results as UI

How to render dynamic charts, maps, and product cards as LLM tool call responses — turning JSON output into interactive React components.

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5. Suspense & Skeletons

Managing AI latency gracefully with skeleton loaders, Suspense fallbacks, and progressive hydration in streaming AI interfaces.

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6. Generative Charts

Build AI-driven dashboards where the LLM decides which Recharts chart type to render based on natural language queries from the user.

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7. AI Form Generation

Generate fully validated forms at runtime using LLMs and Zod schemas — dynamic field types, validation rules, and Next.js server actions.

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8. Multimodal UI

Building image-aware AI interfaces — drag-and-drop uploads, GPT-4o vision analysis, and rendered annotation overlays in React.

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9. Voice Controlled UI

Wire OpenAI Whisper into a Next.js app for voice-controlled UI — real-time transcription, command parsing, and UI state mutation.

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10. Capstone Project

Build a complete AI stock analysis dashboard that streams portfolio charts, news summaries, and buy/sell signals from a multi-agent backend.

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