Step-by-step guide to building a real-time AI chat application using Next.js App Router, Vercel AI SDK 4.x, and React Suspense. Covers scaffolding the project, creating an edge-compatible streaming API route with streamText and Zod validation, building a client-side chat UI with the useChat hook, integrating React Suspense for server-fetched chat history, and advanced patterns including structured output with streamObject, multi-step tool calling, edge vs Node.js runtime trade-offs, caching strategies, and a production readiness checklist covering security, accessibility, and error handling.
Table of contents
How to Build a Real-Time AI Streaming App with Next.jsTable of ContentsHow LLM Streaming Eliminates Idle Wait TimesUnderstanding AI Streaming in Next.jsProject Setup and DependenciesBuilding the Streaming API RouteBuilding the Real-Time Chat UI with useChatIntegrating React Suspense with AI StreamingAdvanced Patterns and OptimizationImplementation Checklist and Complete Code ReferenceWhere AI Streaming Is HeadedSort: