AI-built apps to production

Your app works. Now it has to survive real users and real money.

You built it in Lovable, on Supabase, or with another AI tool, and it does what you wanted. Before you put paying customers on it, someone needs to check what the AI wrote, lock down the data, and wire in payments that can be trusted.

Fixed-scope work, in your accounts, on the code you already have.

The situation

AI builders are very good at getting an app to work. They are less good at the parts you only notice later: access rules that let one user read another user's data, keys that sit in the browser, payments that succeed on screen but never reach your records, and a database that lives in an account you do not control.

None of this shows up in a demo. It shows up when the first real customers arrive, when a payment webhook fails quietly, or when you try to move the project somewhere you own.

You do not need to rebuild. Most AI-built apps need a careful review, a set of targeted fixes, and someone who has kept production software running for years.

What we do

The step between a working prototype and a product you can charge for.

Supabase security and row-level security review. A written report on access rules, auth, exposed keys and data that leaks between users, ranked by risk, then the fixes.

Migration to your own Supabase. Moving the database, auth, storage and your users out of Lovable Cloud into accounts you own.

Payments you can trust. Stripe checkout, subscriptions and webhooks handled so that what the customer sees, what Stripe records and what your database stores agree.

Integrations. Connecting the app to the systems your business already runs, including property-management systems like Guesty and Hostaway.

Launch hardening and maintenance. Monitoring, error handling and a monthly plan after go-live, so the app keeps working while you keep building.

The app stays in your accounts, in a state your AI tool can keep working on.

Why not ask the AI tool, or start over

The AI tool that wrote the code is a good collaborator, but it reviews its own work with the same blind spots it wrote it with. Security rules and payment flows need someone who reads the code and the data, not only the prompt.

Starting over with a traditional agency throws away what already works and costs months. We keep what you built and fix what would hurt you.

How it goes

Show us the app and what worries you.

Free fit call. If the app is fine as it is, or a smaller fix covers it, we will say so.

Review first.

We read the code and the data, use the app, and send a short written plan with the risks ranked and a fixed price for the fixes.

Fixes in small, reviewed steps.

Tested on a copy first, then deployed. You see every change.

Handover or ongoing care.

A handover note your AI tool and any developer can follow, or a monthly plan if you would rather we stay involved.

Proof

We have been building and maintaining production software since 2007. We have built payment flows and messaging on live platforms that handle real money. We built Airteam, a housekeeping and maintenance platform running on Guesty in production, with an iOS app in the App Store. And we review AI-built apps on an ongoing basis, so we know what AI-written code tends to get wrong.

From WhatsApp Chaos to Superhost

Questions founders ask about AI-built apps

No. The app stays where it is and in a state your AI tool can keep working on. If you want the database in your own Supabase account, we move it; the front end can stay in Lovable.

Show us the app and the part you are not sure about. You get a written review before any fixes start.

Free call focused on your operation or your platform, not a generic pitch. If a custom build is not the right answer for your situation, we will say so.