AI features people trust.
I design AI-powered features — chat, assistants, search and smart suggestions — that feel helpful and trustworthy instead of confusing or gimmicky.
Why this matters.
AI changes the design problem. Outputs are probabilistic, so the experience has to set expectations, show its reasoning, handle being wrong gracefully and keep the user in control. Good AI UX is what separates a feature people rely on from one they switch off.
I design AI into products in a way that genuinely helps users — clear affordances, honest states, sensible fallbacks — and I can build the front-end too.
Deliverables & scope.
Chat, prompts and assistant flows that feel natural.
States that show confidence, sources and limits.
Designed fallbacks for when the AI is unsure or wrong.
Front-end implementation of AI features.
How we work.
Find where AI genuinely helps.
Interactions, states and guardrails.
Test the experience with real prompts.
Implement the front-end.
What this delivers.
- AI features users actually adopt
- Higher trust and lower confusion
- A real edge over generic AI bolt-ons
AI Product Design questions.
What kinds of AI features do you design?
Chatbots, assistants, semantic search, smart suggestions and AI-assisted workflows inside products.
Do you design for trust and safety?
Yes — transparency, confidence states and graceful failure are central to good AI UX.
Can you build the AI features too?
I design and build the front-end and integrate with your AI back-end or APIs.
Is AI right for my product?
Not always. I will tell you honestly where it adds value and where it is just hype.