Most AI products fail not because the model is bad — but because the UX doesn't build trust. Users don't understand what the AI is doing, why it's making suggestions, or how to correct it. That's a design problem.

I design AI-powered product surfaces that feel intelligent without feeling opaque — from personalization engines and recommendation flows to conversational interfaces and generative AI features.

What's included:

AI interaction pattern design (trust, explainability, feedback loops)

Conversational UI and chat interface design

Personalization and recommendation surface design

Onboarding flows for AI-powered features

Error states and edge case handling for AI outputs

AI pattern documentation for your design system

High-fidelity Figma prototype

Best for: Teams building AI-native products, adding AI features to existing products, or anyone who wants their AI to feel like a natural part of the experience — not a bolt-on.