App Health · Free

Bolt app production readiness check

I watched a $10,000 campaign die because nobody checked the build.

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I was not the one who broke it. I was the one who got the call. It was a Tuesday, a little after nine at night, and the client's voice had that particular flatness people get when they have already been panicking for an hour and have run out of adrenaline. The site is down. The ads are still running. I remember doing the math in my head while he talked. Paid traffic, mid-campaign, no landing page. Money evaporating in real time — about a dollar and a half a second.

Here is how he got there, and I want to be fair about it, because he did not do anything stupid. He did what everybody is doing right now. He typed a paragraph into an AI builder and watched an entire website assemble itself in front of him in about four minutes. Clean typography. Real forms. Animations that actually felt considered. It looked like thirty grand of agency work and it cost him eighteen dollars a month. I have felt that exact high myself. There is a moment where you think the whole industry is over. The first time I watched one of those things generate a full working interface from a sentence, I sat back in my chair and said something out loud to an empty room.

Then he launched. Then the traffic came. Then it fell over. And that gap — between 'it generated' and 'I would bet my revenue on it' — is the entire reason this Bolt app production readiness check exists.

You are probably here because

You ask for one small change and the AI quietly breaks something unrelated — then retries the same wrong fix until your credits are gone.
You have spent hundreds of dollars in tokens on a login screen or checkout that still does not work.
Your site looks finished but you have never tested whether it survives real traffic.
You found out your API keys were sitting exposed and it did not even make your list of complaints, because the site looked fine.
Support is a bot, the team does not work weekends, and your business sat dead through an entire one.

What the check looks at

Whether the generated code will survive real concurrent traffic or fall over on launch morning
Exposed API keys, credentials and secrets embedded in client-side JavaScript
Regression loops — places where the AI broke something while fixing something else and neither of you noticed
Authentication, payments and data handling that look functional but have no real server-side validation
Dead code, duplicated logic and unused files the builder left behind
An overall production-readiness score with a plain-English explanation of what to fix first

How it works

Paste your URL

No install, no repo access, no credit card. The check runs against your live site exactly as a visitor or crawler sees it.

Get a scored breakdown

Every dimension is scored and weighted, so you can see which single issue is costing you the most rather than staring at a flat list of warnings.

Keep the report

You get a shareable results link and a downloadable report you can hand to a developer, a client, or a buyer asking hard questions.

I want to be really clear about something, because the anti-AI crowd is wrong in the opposite direction. These tools are extraordinary. The problem is they moved where things break, and nobody moved the safety net with them. The tool is optimized for the demo, not the launch. Every incentive in that product is pointed at making you feel amazing in the first four minutes. Nothing in that loop stops and asks whether the thing will survive five thousand people hitting it at once on launch morning. There is no visual difference between a site that is production-ready and a site that is a beautiful hollow shell. None. The client cannot tell. And here is the genuinely unnerving part — increasingly the AI cannot tell either. It will announce the job is finished when it is not. I have sat with three separate people who showed me a chat log where the machine cheerfully confirmed a feature was working, and it had never worked once. These tools are genuinely great right up until you add real authentication, real payments, real data. Which is to say: they stop working precisely when your project stops being a toy and starts being a business. Prototype to product is where all the money is. It is also where the tool quits. That gap is the entire business. That is the agency.

Run it on your own site

You get a score, the specific findings, and a report you keep — whether or not you ever talk to us.

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Questions

What does the Bolt app production readiness check actually look at?

Your live build and your codebase. We check for exposed credentials, regression damage from AI edit loops, authentication and payment flows that look functional but skip server-side validation, dead code the builder left behind, and whether the app can handle real concurrent traffic. You get a scored breakdown by category in plain English.

I have already spent a lot on credits trying to fix things. Will this cost more?

The check itself is free. And honestly, part of the point is to stop the bleeding. Founders come to us having burned through hundreds — sometimes thousands — of dollars in credits on a login screen that still does not work. They are not spending it on progress. They are spending it on the machine failing repeatedly at the same task with total confidence. The check tells you what is actually wrong so you stop paying for loops.

Is this only for Bolt or does it work on other AI builders?

It works on any AI-generated app. Bolt output has recognizable patterns that make the findings unusually consistent, but the same checks apply to Lovable, Replit, Base44 and anything else that generates a deployable codebase from a prompt.

My site looks fine. Why would I need this?

Because there is no visual difference between a site that is production-ready and a site that is a beautiful hollow shell. I had a client whose API keys had been publicly readable and it did not even make his list of complaints — because the site looked fine. A site that looks fine is, to almost everyone, a site that is fine. It is not.

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