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Build a Personal Task Tracker App in Google AI Studio

Step-by-step guide to creating and installing a custom Android task tracker using Google AI Studio prompts in 2026.

October 17, 2026 Yum News

Google AI Studio now lets you generate a full native Android app from a short description. The Antigravity agent writes Kotlin and Jetpack Compose code, previews it in a browser emulator, and installs it on your phone. No Android Studio or local SDK is required for the first version.

This guide walks through building a simple daily task tracker. You will prompt the app, test it in the cloud emulator, install it over USB, and understand the current limits. For private distribution on your device, see our related post on launching private vibe-coded apps.

Person coding on a laptop with dual monitors

Start in Build Mode

Open Google AI Studio and sign in with a standard Google account. Switch to Build mode from the left navigation. Select the Android option in the platform picker. This tells the agent to produce a Kotlin project instead of a web app.

Enter a clear prompt. For this example use: “Create a daily task tracker with local storage. Users can add tasks with titles and due dates, mark them complete, and filter by status. Use a clean Material 3 layout.”

The agent generates the project and opens it in the browser-based Android emulator. The emulator runs in the cloud and streams to your browser. You can tap, scroll, and rotate the virtual Pixel-style device. When the agent changes code, the preview refreshes automatically.

Iterate with Follow-up Prompts

Review the generated screens. If the layout needs work, type a follow-up such as “Add a dark mode toggle in the top bar” or “Show completed tasks in a separate section.” The agent updates the relevant files across the project.

You can open the Code tab to inspect the Kotlin files. The structure follows a single-activity architecture with ViewModels and data classes. Gradle files use the Kotlin DSL and pull dependencies from standard repositories as needed.

Hand holding a smartphone showing lines of code

Test core flows in the emulator: add a task, set a date, mark it done, and switch filters. The browser emulator does not support camera, NFC, Bluetooth, or real GPS. Location is simulated. Google Play services features work only after you install on a physical device.

Install on a Physical Device

Connect an Android phone with USB debugging enabled. Use a Chrome or Edge browser that supports WebUSB. In the preview panel click Install on Device. Select your phone from the USB device picker. The APK transfers and installs automatically, then launches.

No local ADB binary is required. The browser handles the connection. Once installed, the app stores tasks locally on the device. Because the project is client-side only, there is no server component or cloud sync.

Understand Current Limits

Android builds in AI Studio stay client-side. Firebase, multiplayer, or server secrets are not available. Projects use a single activity and single module. Only Kotlin and Jetpack Compose are supported. Wear OS and Android TV are excluded. You can download the project as a ZIP for further work in Android Studio, but GitHub export is not yet available for Android projects.

For testing with others you can publish to the Google Play internal testing track if you have a Play developer account. The agent handles signing with a managed keystore. Personal apps can also be launched privately through Google Play with a standard account in supported regions, without a public listing.

Tips for Better Results

Keep the first prompt focused. List the main screens and data fields you need. After the first build, iterate in small steps so the agent does not rewrite unrelated code. Check the generated ViewModel and data classes if you plan to extend the app later. Download the ZIP once the core behavior is solid.

If you later move the project into Android Studio, pair it with Android CLI skills so coding agents follow current platform patterns. The same prompt style works for other small utilities such as calculators or packing lists.

Conclusion

Google AI Studio removes the setup barrier for a first Android app. A task tracker with local storage is a practical starting point you can install and use the same day. Iterate in the chat, install over USB, and expand only after the basic flow works on a real device.