AI Generator Studio

About the app

When AI tools were just becoming widespread, most apps did exactly one thing: either text to image, or text to video. I asked a different question — why shouldn't all of them live in a single app? AI Generator Studio came out of that idea and brought 15 separate AI features together in one interface.

Technically, the real work wasn't writing the models but unifying different providers behind a single interface. Every feature used a different service, a different request format and a different response time. On the app side I reduced all of them to a shared "generation job" abstraction: the user starts a request, the job enters a queue, and a notification arrives once the result is ready.

On top of that I built a credit system. Because each feature had a different cost, a credit-based model made more sense than a flat subscription; credits are bought through in-app purchase, reserved before generation starts, and refunded if the job fails. That way users never lost credits to third-party service errors.

A 2025 project, written before AI-assisted coding tools became widespread. AI was the subject of the product, not the development tool.

The app isn't live today: I ran out of time to keep it going on my own. Fifteen separate AI features meant fifteen separate providers; each one's interface, pricing and error behaviour kept changing, and keeping up with those changes was a constant job in itself. The code side worked fine — the problem was maintenance capacity. The lesson I took from this is that in a product with heavy external dependencies, the real cost isn't writing it but keeping it current.