If you've used an AI app builder recently, you've probably experienced it: you start a project, the AI makes a few attempts, hits a bug, loops on it for a while, and suddenly you've burned through half your monthly credits on something that still doesn't work.
You're not alone. This is one of the most common complaints across forums, Reddit threads, and support tickets for tools like Lovable. And the reason it happens isn't random — it's structural.
The Debugging Loop Problem
When you ask an AI app builder to create a website, it doesn't generate a website. It generates a full-stack application — React components, TypeScript, a Supabase backend, authentication scaffolding, API routes. That's a lot of moving parts for a bakery homepage.
When something breaks (and in a complex app, things break), the AI enters a debugging loop. Each attempt to fix the issue costs credits. Sometimes the AI identifies the problem quickly. Sometimes it goes in circles, trying different approaches to a bug that exists because the architecture was too complex for the task in the first place.
Users have reported burning 400+ credits in under an hour watching the AI debug a contact form that shouldn't have needed a database connection.
Why This Keeps Happening
The core issue is a mismatch between what you need and what the tool builds. If you need a simple website — a few pages, some text, images, a contact form — you don't need a React app with 40 npm dependencies. But that's what these tools generate, because they're app builders, not website builders.
More complexity means more potential failure points. More failure points means more debugging. More debugging means more credits burned.
It's not that the AI is bad at debugging. It's that it created a problem space that's unnecessarily large for the task.
What You Can Do About It
1. Be specific in your prompts
The more specific you are, the less the AI has to guess. Instead of "build me a website," try "create a single-page website with a hero section, three service cards, and a contact form. Use plain HTML and CSS." This reduces the chance of getting an over-engineered result.
2. Stop the generation early if it's looping
If you see the AI making the same fix attempt three times in a row, stop it. You're burning credits on a loop. Try rephrasing your request or simplifying the scope.
3. Consider whether you need an app builder at all
If your goal is a website — something with pages, text, images, and maybe a form — you might be using the wrong category of tool entirely. App builders are designed for software projects. Website builders are designed for websites.
That's not a criticism of app builders. They're genuinely impressive for building apps. But if you're a yoga instructor who needs a portfolio site, you don't need TypeScript.
A Different Approach
We built Adorie specifically for this problem. When you describe a website, Adorie generates clean HTML and CSS — not a React application. There's no framework to debug, no build step to fail, no dependency tree to untangle.
Your credits go to creating, not debugging.
The free tier gives you 5 credits per day — enough to build a real website and see if the approach works for you. No credit card required.
Try it and see the difference.
Adorie is an indie AI website builder. Websites, not software projects. Built by one person, for real people.