I design products where the model is still being figured out—what matters, what can be trusted, where human judgment belongs, and what should happen next.
I work from product strategy through interaction design across AI agents, enterprise platforms, marketplaces, and high-consequence workflows.
Now, I’m designing human–agent systems and the evidence, control, and judgment layers that make AI useful in the real world.
Agent outputs mean little if people can’t see the evidence, understand uncertainty, or know when to step in.
The buyers creating most of the value were using an experience built for someone else.
Six pharma partners were managing risk in separate systems—and seeing exceptions too late.
A provider-driven experience became patient-driven—giving people transparency and brand leverage across their treatment journey.
Six disconnected systems became one disaster-response platform.
The instructor—not the brand—became the organizing principle.
