Dots Connected
I build software that learns from how people actually use it. The interesting part was never the model or the infra on its own — it's the loop between what people need and a system reliable enough to benefit them. Right now I'm researching multi-agent for personalized learning at the Beckman Institute, and helping build an AI copilot for aircraft. Before this, I built data infrastructure at Sonic SVM on Solana, and worked on growth and ads at Tencent and Baidu. Looking back, the dots connect: each role taught me a different part of that loop — what people need, how to capture the signal, how to make the system hold in production.
I believe a great tool is a bicycle for the mind that amplifies human intelligence.
Thoughts
Nowhere to Go
On the sanctuary effect, going offline, and what forced stillness gives back.
The Shutter Is Proof You Were There
On photography, presence, and what AI images can't give back.
Your Agent's Bug Is Structural, Not Runtime
Two layers of agent reliability — and why we keep fixing the wrong one.
Most Production Features Don't Need an Agent
Why workflows still beat agents — and the cost test that proves it.
The 59-Try Rule
Why high-upside success is worth 59 shots?
Behind the Build: My Tools & Workflow
”A craftsman must first sharpen his tools before he can do his work well”