Describe a screen or a whole app in plain language. FlutterPilot generates Flutter widget structure you can open in the visual editor, revise with follow-up prompts, connect to data, and export as Flutter source.
Generate the starting point, then stay in control of every detail.
Start from a template, or describe the app and choose Mobile, Tablet, Desktop, or Web.
Generic code generation can leave you cleaning up disconnected snippets. FlutterPilot brings generation into the same workspace where you edit widgets, preview layouts, define behavior, and manage the rest of the app.
Generation is the first step. The rest of the workflow happens in the same project.
Include the purpose, sections, content, interactions, and visual tone.
Use the AI Agent for a screen or component, or the AI project creator for a multi-screen project.
Open the result in the visual editor and check the hierarchy before changing details.
Send focused follow-up prompts, or adjust properties directly where that is faster.
Add actions, app or page state, collections, Google Sheets, or REST endpoints.
Download the Flutter project as a ZIP, build an Android APK, or publish to the web.
Useful prompts name the screen's purpose, its sections, the data it shows, and the visual tone. These prompts come from FlutterPilot's own suggestions.
“Profile page with avatar, stats, and recent activity”
Ask the AI Agent inside an open project.
Check the result
Follow-up prompts
“A high-energy workout companion using bold typography and bright distinct colors, featuring a streak-based progress ring and social leaderboard integration.”
Use the AI project creator in the New Project dialog.
Check the result
Follow-up prompts
“Create a finance app with dashboard, transactions list, spending charts, and onboarding flow”
Use the AI project creator, then connect data in the Data Panel.
Check the result
Follow-up prompts
Generated screens are made of the same Flutter widgets you would place by hand—Scaffold, Column, Row, Stack, ListView, Container, Text, Image—so they appear in the widget tree and property panel like any other screen. That is what makes them editable rather than a flat image.
Create screens, components, variables, and endpoints with the surrounding project in view. The AI Agent is labelled Beta.
Generate editable interface structure that can be refined instead of a flattened image.
Ask for focused changes to layout, content, styling, or behavior as the product evolves.
Use direct controls for the details that are faster to tune by eye than describe in a prompt.
See how generated interfaces adapt across common viewport sizes before you move on.
Export the Flutter project when you want to continue with local tooling and custom code.
FlutterPilot is most useful when prompt speed, visual control, and a real Flutter handoff all matter in the same workflow.
Describe the screen goal, key sections, content, interaction states, and visual tone. Concrete constraints usually produce a more useful first draft.
Yes. Generated screens remain editable in the visual Studio, so you can adjust widget properties, layout, actions, and data.
It generates a starting point. The AI project creator builds multi-screen Starter Apps with list, details, add, edit, and delete flows on local collections. Sign-in, API calls, and custom logic aren't generated for you yet; you add them in the editor, where the AI Agent (labelled Beta) can help. The 2.0.0 changelog explains the current scope.
No. You can continue into navigation, state, integrations, deployment, and Flutter source export from the same project.
Start in the browser, refine the project visually, and export Flutter source when it is ready for your workflow. Prefer a head start? Browse Flutter app templates.
