Lovable gave you the best-looking prototype you've ever had this fast. If the polish now hides a thin backend, security rules that were never written, or an error-fix loop that won't converge, you've hit patterns we see again and again. All fixable.
We take Lovable prototypes to production: auth, payments, integrations, data, security and hosting. Then we hand it over, or we keep running it. Part of our prototype to production service.
A free 20-minute look at what breaks at launch and what it costs to ship.
THE DIAGNOSIS
The failure modes we see most
If your Lovable project is stuck, it is almost certainly one of these. Read the one that sounds like yours. The fix is usually smaller than it feels.
It looks 90% done. The backend is closer to half
This is the most common Lovable situation, and the most understandable: the screens are beautiful, so the app feels nearly finished. But an interface is the visible half of an app.
Underneath, the data model is often a first draft: tables that don't quite match how your business works, relationships that were never modeled, and business rules (who can do what, what happens when) that exist only as assumptions in the UI. The prettier the front, the more this gap surprises people.
What actually fixes it: An honest audit of the data model and business logic against what the app actually needs to do. Then finishing the invisible half to the standard of the visible one.
Supabase security rules that were never written
Lovable apps typically run on Supabase, and the wiring usually works. The part that gets skipped is Row Level Security: the per-table rules that decide who may read and write which rows.
Skipped rules fail in one of two ways: data that should be private is readable by anyone holding your app's public key, or security gets switched on late and the app starts failing with permission errors. Neither shows up in a demo. Both show up with real users.
What actually fixes it: Write and test row-level security policies for every table, including the boring ones, and move sensitive operations behind server-side functions.
The 'fix this error' loop
You paste an error, Lovable fixes it, a new error appears, you paste that, and twenty minutes later you're back at the first one. Each fix is locally reasonable; together they circle.
The tool is responding to one error at a time without the full picture of the project's history, and without tests, nothing catches a fix that reintroduces an old bug. Past a certain project size, this loop is structural, not something better prompting escapes.
What actually fixes it: A developer resolves the underlying cause once (usually a structural issue several errors upstream) and adds tests so the same circle can't reopen.
Integrations that fail silently
Emails, payments, webhooks, and scheduled jobs often run through edge functions or third-party services. In the demo they worked; in production, some fail, and nothing tells you.
Missing environment variables on the deployed side, expired API keys, unhandled failure responses, no retries, no logging. The app looks fine. Meanwhile the confirmation emails aren't arriving, and you find out from a customer.
What actually fixes it: Verify every integration against the production environment, add error handling and retries where money or messages move, and set up monitoring so failures page you, not your customers.
The last 20%: launch-readiness
Custom domain, error states, form validation, empty states, mobile edge cases, account deletion, terms and privacy pages, backups. None of these are features anyone demos. All of them are things a real business gets asked about in week one.
This finishing layer is where AI-built projects most often stall, because it is a long list of small items rather than one impressive change.
What actually fixes it: A launch checklist worked through end to end, so the app doesn't just look shippable. It is.
To be clear: Lovable is genuinely good at what it does. Few tools produce interfaces this polished from a plain-language description. The patterns above are not Lovable failing. They are what the last stretch of any software project looks like. We finish what Lovable starts.
WHAT WE DO
Your Lovable app, production-grade
It works in the demo. Real users find the rest. We finish the parts a demo never needed.
Auth
Login, roles and password reset that hold up on the server, not only in the browser.
Payments
Checkout, webhooks and failed-payment handling, so money and records agree.
Integrations
Email, your store, your CRM and other APIs, with retries and alerts when a call fails.
Data
A real database with backups, a clean data model and a safe way to change it.
Security
Access rules on every table and endpoint, secrets kept off the frontend, and a pass that tries to break in.
Hosting
A production environment, your own domain, monitoring, and deploys you can repeat.
WHAT YOU PAY FOR
A production launch, at a fixed price
You get
Your app live for real users, on your own infrastructure, with the parts a demo never needed finished and working.
Done means
Live on your own domain, in hosting accounts you own
Login, roles and password reset working on the server
Payments and webhooks working, so money and records agree
A real database with backups running
Monitoring and error alerts switched on
A security pass on access rules and secrets
Code in your repository, with handover notes on how it fits together
The list is agreed in the audit, for the parts your app needs. You sign off on each line.
Timeline and price
Fixed price and timeline, set in the $500 audit, before you commit.
If it can't be done
If the audit shows it can't run reliably, you don't pay for the build.
Built on Firebase? Good.
Many AI-built apps run on Firebase. We run Firebase apps in production for clients, so we know where prototypes on it tend to break.
Security rules left open. Auth flows that skip the edge cases. Cloud Functions with no retries or logging. Queries that get slow and costly once real data arrives.
We fix those in place when Firebase is the right home for your app, and tell you plainly when it isn't.
Then we hand it over, or we keep running it
We hand it over
You get the code in your repository, the hosting set up in your accounts, and notes on how it fits together. Your team or your next hire takes it from there.
We keep running it
An optional care plan, from $500/month: we watch it, fix what breaks and keep it up to date. You can still take it in-house later.
We run our own fleet of AI coding agents. Models from different families review each change, tests run against it, and an engineer who is accountable for the work decides what ships.
The $500 Production Readiness Audit, credited 100% toward the build
Send us your project and we tell you what is actually broken, where the security gaps are, and a fixed price and timeline for the launch, with a 72h turnaround. The fee is refundable until the kickoff call. If you go ahead with us, every dollar is credited toward the build.
