You described what you wanted, the AI built it, and within an hour you had something that looked like a real product. That part is genuinely impressive. The problem starts the moment someone who is not you tries to use it.
Here is what is usually happening underneath.
It only ever ran in one place: the preview
Tools like Lovable, Bolt and v0 run your app in a built-in preview. That preview hides a lot. The keys it needs, the database it talks to, the settings it relies on, all of that is quietly wired up for you in the background.
The day you try to put it on a real web address, none of that is set up. The app loads to a blank screen or an error, because the things it depended on in the preview do not exist on the open internet yet. It was never actually deployed. It was only ever demoed.
The login looks real, but it is not enforced
A sign-up form and a login page are easy to generate. Making them actually protect anything is the hard part, and it is almost always skipped.
In a lot of AI-built apps, the login is decorative. The screens exist, but nothing stops a visitor from reaching pages or data they should not see. As long as it is just you clicking around, you never notice. The first real user, or anyone curious, can walk straight past it.
The database is often wide open
Most of these apps store data in a service like Supabase. Out of the box, that database needs rules that say who is allowed to read and write what. Those rules are not set automatically. If nobody adds them, the database is effectively public: anyone who finds the address can read every record, and sometimes change it.
This is the single most common and most serious gap we see. It is invisible until it is a headline.
Nothing handles things going wrong
Real users do unexpected things. They lose connection halfway through. They paste strange characters into a field. They double-click the button. A production app expects all of this and recovers gracefully. A prototype usually does not. One unexpected input, and the screen goes white.
It was built for exactly one user: you
When you test alone, there is one person, one click at a time. Real traffic is dozens of people at once, on slow phones, from different countries. Without the right setup, the app that felt instant in the preview gets slow or simply stops responding when more than a handful of people arrive together.
This is normal, and it is fixable
None of this means you did anything wrong, or that the tool is bad. AI is remarkable at the first 80 percent: the idea, the design, the rough shape of the thing. The last stretch, making it secure, reliable and ready for real money, is ordinary software engineering. It just is not the part the AI does for you.
If you have a prototype stuck at exactly this point, that gap is the whole of our work. We take what you built and make it hold up in the real world.