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AI UX Design

Designing intuitive interfaces for AI-powered products, from LLM assistants to intelligent automation.

AI is reshaping how users interact with products — but powerful models mean nothing without thoughtful design. AI UX is the practice of making intelligent systems understandable, controllable, and genuinely useful. This includes designing for LLM-powered assistants, chatbots, recommendation engines, and any product where machine intelligence meets human decision-making.

Evidence & results

  • Designed enterprise admin workflows handling AI-powered mobility decisions at Uber
  • Experience across B2B and consumer products with intelligent features

Related case studies

Employee Mobility Platform

Uber for Business

Redesigned Uber for Business employee mobility admin platform, streamlining how enterprise organizations configure and manage workforce transportation programs. Focused on reducing admin complexity and improving task completion rates.

Related posts

Designing for AI: What Changes and What Stays the Same

AI products introduce uncertainty into every interaction. Here is how to design for systems that do not always get it right.

Frequently asked questions

What is AI UX design?

AI UX design focuses on making AI-powered products intuitive and trustworthy. It covers designing for uncertainty, setting user expectations, building appropriate mental models, and creating interfaces that let humans stay in control of AI-assisted decisions.

How is designing for AI different from traditional product design?

AI introduces uncertainty — outputs may vary, confidence levels matter, and users need transparency about what the system can and cannot do. AI UX designers must handle edge cases gracefully, design for progressive disclosure of AI capabilities, and build trust through consistent, explainable behavior.