From Prototype to Production: Choosing the Right AI Stack for Your Stage

Every AI builder is phenomenal at exactly one thing: getting you from nothing to a working demo in an afternoon. That's a genuine miracle and you should use them shamelessly for it. The mistake is assuming the tool that got you to the demo is the tool that will carry you to a hundred paying customers. It won't. Knowing where that cliff is — and how to land on the other side — is the difference between a company and a graveyard of Vercel previews.

The three stages and what each actually needs

Stage 0 → 1: Find the shape

You don't know what you're building yet. You need to render ten variations of an idea and see which one users don't bounce from. Use v0 for landing pages and UI exploration. Use Lovable or Bolt for end-to-end clickable prototypes with a database hooked up. Use Cursor + Claude if you're already a developer and want full control.

At this stage, code quality does not matter. Throwaway is the goal. Optimize for cycle time.

Stage 1 → 10: Get to real users

Someone wants to pay you. Now things change. You need auth that doesn't lose sessions, payments that reconcile, a database that won't get clobbered by a bad migration, and a deploy pipeline that doesn't require you to be at your laptop.

This is where AI builders start to wobble. The credit cost of meaningful changes climbs. The exported code is hard to hand to a contractor. The integrations you need (background jobs, scheduled tasks, webhooks, file processing) aren't first-class citizens.

Stage 10 → scale: Be an actual company

Hundreds or thousands of users. Compliance asks. Hiring. Observability. SLAs. At this point you need a stack you own end-to-end: a real cloud (AWS, GCP, Cloudflare, Fly), a real database (managed Postgres with backups you've tested), CI that runs your tests, error tracking, and code a new hire can read on day one.

Where the cliff actually is

The cliff isn't user count. It's the first time one of these is true:

• A paying customer reports a bug you can't reproduce.
• You need to run something on a schedule (digest emails, cleanup jobs, billing).
• A second person needs to work on the code.
• You need an environment that isn't production.
• You need to be on a call with an enterprise prospect's security team.

Any one of those and you're past where the prototyping tools end.

A pragmatic stack framework

Frontend

React on a real meta-framework: Next.js or TanStack Start. Both have SSR, file-based routing, and a hiring pool. Avoid anything proprietary to a builder.

Backend / database

Supabase or your own Postgres on a managed host (Neon, RDS, Fly Postgres). Server functions or a thin API layer for business logic. Background jobs via a queue (Inngest, Trigger.dev, or a homegrown pg-based queue).

Hosting

Vercel, Cloudflare, or Fly for the app. A real CDN for assets. A real error tracker (Sentry). A real uptime monitor.

What to keep from the prototyping phase

The database schema, if it's sane. The visual design. The product decisions you validated with users. That's it. Everything else gets rewritten, and that is fine — the prototype paid for itself the day it told you what to build.

Where Launched comes in

The migration from "fragile MVP" to "highly available deployment" is the boring middle that founders dread and engineering contractors overcharge for. It's our entire business. We take what you built in Lovable, v0, Bolt, Cursor, or Claude and land it on a stack that scales, hires, and sleeps through the night.

Flat fee. Two weeks, typically. You keep the code.

Book a 20-minute call and we'll map out exactly what your stage-up looks like. See also: Outgrown your platform and Own your build.