Simple productivity tools are a good place to start, and a habit tracker was a smart first pick. AI tools do best with apps that follow common patterns they’ve seen thousands of times:

– Trackers and logs (habits, expenses, workouts, reading lists)
– To-do lists and note apps
– Calculators and unit converters
– Simple dashboards and form-based apps
– Single-page tools like quote generators or timers

The pattern is clear data, a small number of screens, and no complicated rules behind the scenes. That’s why a habit tracker came together so fast.

Things get harder when you add user accounts, payments, real-time sync, or apps that must run smoothly on both iPhone and Android. AI can write a lot of the code, but you’ll spend more time fixing bugs and testing on real devices.

If your habit tracker works well and you want to turn it into a proper app for both platforms, cross platform app development lets one codebase cover iOS and Android and saves a lot of time.

For your next project, I’d try something slightly more complex, like adding reminders or syncing data between devices. That’s where you’ll learn what AI handles well and where you need to step in yourself.

What tool did you use for the habit tracker?

From my experience, simple productivity apps are probably one of the easiest starting points. I once used an AI coding tool at https://brawe.ai/ to build a basic task tracker with categories, reminders, and a simple dashboard. The first version was surprisingly quick because the features were straightforward and easy to describe. I’ve also found that calculators, note-taking apps, timers, habit trackers, and small inventory tools can be good projects. The biggest advantage is that you can explain each feature separately and let the AI generate the initial structure. After that, you can test it, find problems, and ask the AI to make changes. It feels much easier than trying to build a complicated app immediately.