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Tutorial4 min read

From Prompt to Production: Deploying an AI-Generated Next.js App

The preview link is where most AI-built apps go to die. The app works, you share the preview URL with two friends, and three weeks later the project is abandoned — because a preview was never the product. Production is: your own URL, real users, and infrastructure that doesn't depend on you keeping a browser tab open.

The good news: if your builder generated a standard Next.js project, the path to production is short and well-paved. This walkthrough uses Massvai's flow, but the shape applies to any builder that gives you real code.

Before you deploy: a 10-minute audit

Resist the urge to deploy the second the preview looks right. Check four things first:

1. Click every path a stranger would. Not the happy path you've tested thirty times — the weird ones. Submit empty forms. Visit a detail page for something that doesn't exist. If the app has auth, try a page while logged out. Tell the agent about anything that breaks; fixing pre-launch costs one iteration, fixing post-launch costs users.

2. Inventory your secrets. List every external service the app talks to — database, auth provider, payment processor, email. Each one has keys, and those keys must live in environment variables, never in code. Massvai manages project env vars explicitly and injects them into deployments; whatever platform you use, confirm the generated code reads from process.env rather than hardcoding values.

3. Separate test data from real data. If you built against a test database or Stripe test keys, production needs its own values. This is the single most common launch-day bug: the app works perfectly against test credentials that must not serve real users.

4. Create a checkpoint. Snapshot the exact version you're about to ship. When you keep iterating next week, you'll want a known-good state to compare against — or roll back to.

Step 1: Get the code into your own GitHub

Even if your builder can deploy directly, sync the repository to your own GitHub account first. This matters for three reasons: it's your backup, it's your handoff path when a developer joins, and it's what connects to Vercel's git-based deploy pipeline — every future push deploys automatically.

In Massvai this is a built-in flow: connect your GitHub account, choose a repo name, push. Verify the result by opening the repo and checking that you see a normal Next.js project — app/ directory, package.json, TypeScript files. That's your asset.

Step 2: Deploy to Vercel

Vercel is the default answer for Next.js hosting for a boring, practical reason: zero-configuration support for every Next.js feature (server components, API routes, image optimization), a global CDN, and automatic HTTPS. The free Hobby tier comfortably runs small production apps.

The guided flow in Massvai connects your Vercel account, creates the project, carries your environment variables over, and triggers the build. Doing it manually instead is barely harder: import the GitHub repo in the Vercel dashboard, paste in your env vars, and click deploy.

Either way, the first build is the moment of truth. A generated project that builds cleanly in preview almost always builds cleanly on Vercel — but if it fails, read the log: the error is usually a missing environment variable, and the log will name it.

Step 3: Attach a custom domain

your-app.vercel.app works, but a real domain changes how people treat the product — and it's the part non-developers most often stall on, so here it is in full:

  1. Buy the domain at any registrar (roughly $10–15/year for a .com).
  2. Add it to your project (in Massvai's domain settings or Vercel's dashboard).
  3. The platform shows you one or two DNS records to add — typically an A record or a CNAME. Paste them into your registrar's DNS panel.
  4. Wait for propagation — minutes to a few hours. HTTPS certificates are issued automatically once the records resolve.

That's the whole thing. No server administration is involved at any point.

Step 4: The first week in production

Launch is a starting line. Three habits for week one:

  • Watch real behavior. Add a lightweight analytics tool and see where people actually go — it's never where you expected. This becomes your iteration roadmap.
  • Keep shipping small. With GitHub connected to Vercel, every synced change deploys automatically. The gap between "user reported it" and "it's fixed in production" can be under an hour, and that speed is your biggest advantage over established competitors.
  • Roll back without shame. Bad deploy? Vercel keeps every previous deployment one click away, and your builder checkpoints give you the same safety net at the code level. The cost of a mistake is minutes, so take swings.

The part that actually matters

None of these steps require engineering skill anymore — that's the change AI app builders made. What they can't do is put the thing in front of people for you. The app in your preview tab is worth exactly nothing until someone else uses it. Deploy it this week.

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