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Instead of manually connecting screens in Figma to create a clickable prototype, Gabor tasks a specialized 'UX Flow Architect' agent. The agent analyzes the app's documentation and automatically adds all the necessary prototype arrows between screens, saving hours of manual design work.

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Stop trying to create pixel-perfect designs in Figma; its rendering of type and color will never match the browser. Instead, embrace Figma as a rapid, low-fidelity storyboarding tool. Sketch out interaction flows with simple shapes, then feed those images to an AI to build the real thing.

Vercel's Pranati Perry explains that tools like V0 occupy a new space between static design (Figma) and development. They enable designers and PMs to create interactive prototypes that better communicate intent, supplement PRDs, and explore dynamic states without requiring full engineering resources.

AI-powered "vibe coding" is reversing the design workflow. Instead of starting in Figma, designers now build functional prototypes directly with code-generating tools. Figma has shifted from being the first step (exploration) to the last step (fine-tuning the final 20% of pixel-perfect details).

AI coding agents enable "vibe coding," where non-engineers like designers can build functional prototypes without deep technical expertise. This accelerates iteration by allowing designers to translate ideas directly into interactive surfaces for testing.

Before writing code, you can string together hyperlinked screenshots in a design tool like Figma. This creates a 'hacky' prototype that feels like a fully built app to potential customers, allowing for rapid, low-cost user testing and validation.

Instead of creating static mockups in Figma, Cursor's design team prototypes directly in their AI code editor. This allows them to interact with the "life states of the app" and get a more realistic feel for the product, bridging the gap between design and engineering.

A prototype-first culture, accelerated by AI tools, allows teams to surface and resolve design and workflow conflicts early. At Webflow, designers were asked to 'harmonize' their separate prototypes, preventing a costly integration problem that would have been much harder to fix later in the development cycle.

Documenting every UI state is tedious for designers. Now, engineers can use an AI agent to parse the live codebase and automatically export all existing states (e.g., all five steps of a signup flow) directly into a Figma file for designers to review and refine.

The traditional product workflow—writing PRDs, waiting for mocks, then building a prototype—is being collapsed by agentic tools. A single "Builder PM" can now perform user research, generate PRDs, create functional mocks, and build a working prototype, drastically shortening the feedback loop.

You can instruct an AI browser to navigate through your product's user flows page-by-page. The agent will document each step and can even include screenshots, automating what is typically a very manual and time-consuming process for product teams.