Build and iterate on high-fidelity prototypes directly in your browser. This workflow uses a custom web UI to generate designs from prompts, visually annotate feedback, and automatically implement revisions with AI.
In a web-based prototyping studio, use a single, detailed prompt to generate a new dashboard or UI from scratch. The AI will use your integrated design system to build the page.
build a BFCM dashboard for a pet store showing live sales on a chart at the top of the page. A ticker with the latest sales. And trending products. Make sure the data is realistic and real time.Instead of writing a complex new prompt to fix a design flaw, use a built-in 'annotate-for-AI' feature. Click to select the specific UI element on the page that you want to change.
After selecting an element, provide a short, direct instruction for the AI to execute. The AI uses the visual context of your selection to understand the command accurately.
the chart is way too tall. It should be a narrow page spanning chartThe AI will automatically apply the change, generating a new variant of your prototype. You can then compare the before and after versions to confirm the fix is correct.
Use a 'Design Review Mode' within the tool to allow teammates to leave comments and feedback directly on the clickable prototype, replacing static feedback in documents.
After the review session, use an AI feature to generate a concise summary of all the comments and feedback left by the team.
Turn the summarized feedback directly into a task list for the AI. The system can then automatically execute the requested changes, closing the loop from feedback to implementation.
Create a simple app to manage your expensive purchases. This workflow uses AI to automatically scan receipts and product photos, extract key information, and save product manuals, all in one place.
Overcome generic AI-generated designs by building a custom prototyping environment. This workflow connects your company's design system to an AI code editor, ensuring all prototypes are on-brand and high-fidelity.
Use an advanced AI model to analyze raw packet sniffer logs and research notes to deduce an unknown, proprietary Bluetooth protocol and create a tool to interact with the hardware.
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