I build AI-native products and systems that people can understand, trust, and return to.
My work sits at the intersection of product judgment, workflow systems, and human behavior.
Previously
Apple Music · Beats Music · Pandora
Built systems across
- 01Consumer platforms used at scale
- 02AI-native workflow products
- 03Creator and music ecosystems
- 04Internal tools that reduce operational drag
- 05Interfaces designed for trust and repeat use
Most AI products do not fail because the model is weak. They fail because the product around the model does not earn trust, reduce friction, or fit into real behavior.
The best AI products are not the ones that feel smartest. They are the ones that fit into how people actually work, think, and decide.
I focus on where trust shapes retention, where memory creates continuity, and where good workflow design reduces the friction that causes people to leave.
Selected Work
View allWith Him
Designing trust-centered AI for emotionally sensitive conversations.
A study in how pacing, memory boundaries, and emotional safety shape AI retention.
Lance
Building an AI agent to reduce payment friction for freelancers.
A study in how AI can reduce operational drag in real-world business workflows.
Recent Writing
View allMost AI Products Optimize for Intelligence Instead of Trust
The gap between technically impressive AI and AI that users actually return to often comes down to one thing: trust architecture.
The First 60 Seconds of an AI Product Matter More Than Teams Think
First impressions in AI products set the frame for everything that follows. Most teams underestimate this window.
Open to conversations around AI-native product systems, workflow design, and trusted user experiences.