Real examples from our team

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The best way to understand this approach is through the prototypes we've actually built. Each one solved a different design challenge and taught us something new about what's possible when you can build functional experiences instead of describing them.

How do you communicate a complex, multi-surface assistant experience to stakeholders? We built a working prototype with real Anthropic API integration, conversation state management, and contextual entry points. Instead of explaining how an AI Assistant might work across our platform, we could show it and build it faster than creating static screens in Figma.

We needed to validate complex animation whatsapp number list controls for our new interactions timeline. We built a working version with sophisticated multi-track controls that looked like basic wireframes. This taught us that interaction fidelity can be independent of visual fidelity. We could validate the interaction model without getting distracted by visual details. Those patterns are now shipping in production.