Dots Connected
I build product people actually love and 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
The Shutter Is Proof You Were There
Great photos reach across time to someone who wasn't there
Your Agent's Bug Is Structural, Not Runtime
Most agent failures are structural; fix the structure first
Most Production Features Don't Need an Agent
If a task can't justify 4× the tokens, build a workflow
Nowhere to Go
When there's nowhere to go, the mind surfaces for air
The Simplest Truths
Why Buffett's simplest principles are the hardest to live by
Behind the Build: My Tools & Workflow
Tools matter only when they turn thinking into action
From n to p
When trials are free, the edge is what won't scale
The Zen of A/B Testing
Small-step trial and error compounds into big gains