Trust is a product feature.
Sources, state, and uncertainty should be visible, never hidden behind confident prose.
Frontend systems, product judgment, and applied AI, engineered into experiences that stay clear when the underlying technology is anything but.

Different products. Different operating environments. One obsession with making complexity useful.
Product experiences for an AI analyst that connects to real business systems, verifies its work, and turns insight into plans and action.
A strategy laboratory for live signals, deep research, backtesting, paper execution, and evidence-aware AI assistance.
An AI publishing system that finds emerging ideas, drafts in the author’s voice, checks claims, and keeps humans in control.
Built Prime from its first mobile MVP into a faster, more reliable web and mobile operating system for restaurant teams. Later led the engineering team shaping its architecture, product experience, and development practices.
The strongest systems do more than generate. They expose evidence, make uncertainty legible, and leave consequential judgment where it belongs.
Sources, state, and uncertainty should be visible, never hidden behind confident prose.
People understand a complex system through the controls, feedback, and boundaries it exposes.
Start with assisted decisions. Expand only as evidence, observability, and recovery become reliable.
Complex product, ambitious interface, or an AI system that needs better judgment? I'm interested.