Vercel for Next.js AI apps
When you graduate from Streamlit to a real frontend, Vercel is where Next.js apps go.
If Streamlit is a bicycle, Next.js + Vercel is a car. More setup, far more power, the bar for production work.
Vercel hosts Next.js apps as serverless functions + static assets, deploys on git push, manages secrets, and offers analytics.
For AI calls, you can use:
- Next.js Route Handlers / API routes for backend calls
- Vercel AI SDK for streaming chat UIs
- Edge runtime for low-latency streaming
A minimal Next.js chat endpoint:
// app/api/chat/route.ts
import { openai } from "@ai-sdk/openai";
import { streamText } from "ai";
export async function POST(req: Request) {
const { messages } = await req.json();
const result = streamText({ model: openai("gpt-4o-mini"), messages });
return result.toDataStreamResponse();
}
Deploy with vercel deploy. Set OPENAI_API_KEY in the Vercel dashboard.
Quick recall
3 prompts · think before you flip
Prompt 1 of 3
What is the Vercel AI SDK?
Quiz time
1 question · tap an answer to check it
1. The most natural deploy target for a Next.js AI chatbot is
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