Four ways I put AI to work.
Generative UI, AI co-creation, and prompt engineering woven into ideation and prototyping — exploring ten directions in the time one used to take, then refining the strongest by hand.
Interfaces that anticipate intent and adapt in real time — using behavioural signals to cut friction before users ever hit it, and surfacing the right action at the right moment.
Autonomous agents that run multi-step research synthesis, transcription, and insight clustering — turning weeks of analysis into a working afternoon, with humans steering.
Trust signals, human-in-the-loop review, and guardrails built in — so teams ship AI features users actually understand and trust, not black boxes.
AI across every phase of my process.
AI transcription, research synthesis, and insight clustering compress qualitative analysis — so the team spends its time on decisions, not data entry.
Prompt-driven flow and layout generation to explore structure fast, then human judgment to choose and refine the right direction.
Generative visuals and design-system automation to keep tokens and components consistent while moving at speed.
AI-assisted prototyping and front-end generation to get from concept to clickable — then hand-tuned in real HTML5 & CSS3.
I speak the language of modern AI for UX — and put it to work, not just on a slide.
Building something with AI?
I help teams ship AI products people trust — and move faster doing it.