Designing AI features people trust
The hard part of an AI product is rarely the model. It’s how people see, trust and act on what it produces. I’ve designed AI insights for clinicians, conversational ordering and AI features for live sports.
What you get
- 01UX for AI insights, recommendations and chat
- 02Patterns for confidence, uncertainty and human override
- 03Conversational flows for chatbots and assistants
- 04AI-assisted prototyping to test ideas quickly
A good fit for
- 01Teams adding AI features to an existing product
- 02Startups building AI-first products
- 03Products where users must trust and explain an AI result
Related work
All projects →
Questions
How do you design for AI features?
By focusing on what the user needs to decide: what the model found, how sure it is and what to do next, with a clear way to correct it.
Have you designed chatbots?
Yes, including a WhatsApp chatbot for ordering and support.
Other services
- UI/UX designResearch, user flows and interface design for SaaS platforms, dashboards and consumer apps.→
- App designMobile app design from first idea to App Store-ready screens, for startups and product teams.→
- Prototype designInteractive Figma, Framer and AI-assisted coded prototypes to test ideas with real users before building.→
- Design systemsComponent libraries, design tokens and documentation that keep a product consistent after handoff.→
- UX auditHeuristic evaluation and usability review with a prioritised list of fixes.→
Let’s talk it through
hello@artifx.co