AI8 min readMarch 25, 2026

Building Production AI Apps with Next.js 14 and Vercel AI SDK

A deep dive into architecting scalable AI-powered applications using Next.js App Router, streaming responses, and the Vercel AI SDK.

A

Arjun Mehta

Full-stack developer obsessed with AI and developer tooling.

Introduction

Building AI-powered applications has never been more accessible. With Next.js 14 and the Vercel AI SDK, you can create production-ready apps in hours, not weeks.

Setting Up the Project

bash
npx create-next-app@latest my-ai-app cd my-ai-app npm install ai openai

Creating Your First AI Route

typescript
import { OpenAI } from 'openai'; import { OpenAIStream, StreamingTextResponse } from 'ai'; const client = new OpenAI(); export async function POST(req: Request) { const { messages } = await req.json(); const response = await client.chat.completions.create({ model: 'gpt-4-turbo', stream: true, messages, }); const stream = OpenAIStream(response); return new StreamingTextResponse(stream); }

The useChat Hook

tsx
'use client'; import { useChat } from 'ai/react'; export default function Chat() { const { messages, input, handleInputChange, handleSubmit } = useChat(); return ( <div> {messages.map(m => ( <div key={m.id}><strong>{m.role}:</strong> {m.content}</div> ))} <form onSubmit={handleSubmit}> <input value={input} onChange={handleInputChange} /> <button type="submit">Send</button> </form> </div> ); }

Conclusion

Next.js and the Vercel AI SDK make building AI apps genuinely enjoyable. The streaming primitives, edge runtime support, and tight React integration mean you spend time on product logic rather than infrastructure.

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