An AI App MVP in Ten Days with FlutterFlow
A ten-day plan for getting a working AI-backed mobile app in front of users, using FlutterFlow for the interface and a hosted model API for the intelligence.
The point of a plan this short is that it forces the scope down to what actually has to exist. Everything here is aimed at a minimum viable product — something that runs, does the one thing, and can be handed to a real person.
1. Define the MVP (day 1)
Decide the single thing the app does. One core function, stated in a sentence. If it takes two sentences, it is two features and one of them is for later.
2. Build the interface (days 2–3)
- Lay the screens out in FlutterFlow.
- Use the prebuilt widgets rather than building your own:
AppBar,TextField,ButtonandListViewcover most of what an MVP needs. - Test the prototype directly in FlutterFlow as you go.
3. Integrate the AI features (days 4–5)
Choose the service first:
- A hosted language model API for natural language tasks.
- Firebase ML Kit for AI features that are optimised to run on mobile.
Then wire it up:
- Go to API Calls in FlutterFlow.
- Add the service endpoint.
- Configure the request with the required parameters and your API key.
- Test the calls on their own, before any UI depends on them.
Testing the API in isolation is worth the extra step. If you connect it to the interface first, a failure could be the request, the key, the parsing or the widget, and you will not know which.
4. Connect the AI to the interface (days 6–7)
- Bind the input fields to the API — collect the user's query in a
TextField. - Send that input to the API and display what comes back in a
TextorListViewwidget. - Add the interactivity through FlutterFlow actions, so a button press triggers the call.
5. Test the MVP (days 8–9)
Use FlutterFlow's preview, or run the app on an emulator, and check:
- The AI responses actually arrive and are displayed.
- Navigation works.
- The interaction makes sense to someone who did not build it.
Fix the bugs and the usability problems you find. Both count.
6. Deploy (day 10)
- Export the FlutterFlow project to Flutter code if you want to customise further.
- Use Flutter to finalise deployment for both Android and iOS.
- Follow Flutter's own deployment guide for publishing to the Play Store and the App Store.
Things worth knowing before you start
- Monetisation — if you need it, add the basics (ads or subscriptions) but add them last.
- Iterate after launch. Collect feedback and grow the app past MVP from what people actually ask for, rather than from the feature list you started with.
- Time management is the real constraint. Focus only on what makes the app functional and ready for users. The interface and the experience can be perfected later, and they will be perfected better once you know how the thing is used.
Keep the API key out of the app
One caution that is not in the original plan and belongs here: an API key embedded in a mobile app is not secret. The app ships to a device you do not control and the key can be extracted from it. For anything beyond a prototype, put the call behind a backend you own and let the app talk to that instead.