Work
Products shipped, systems architected.
Explore the overlap between AI workflows, frontend architecture, data interfaces, and product systems before jumping into the detailed case studies.
- Case studies
- 6
- Industries
- 6
- Open source
- 3
Project system / interactive index
Operating principles
How I keep complex frontend work shippable.
The throughline across my work: make the architecture explicit, keep product behavior inspectable, and leave teams with systems they can keep evolving.
- 01
Rendering
Choose rendering strategy per route, not by framework default.
- 02
Systems
Design for ownership, reuse, and change.
- 03
AI quality
Treat AI-generated output as something to verify, not just display.
- 04
Clarity
Expose system state in the interface instead of hiding complexity.
- 05
Standards
Set engineering standards that still hold after launch.
Bring the thorny frontend thing. I'll bring a sharper path to ship it.
Architecture, product UX, AI-native workflows, performance, design systems. The fun usually starts where the ticket gets vague.