Notes
Honest notes on AI, product, and learning — mostly PM and building, occasionally Chinese.
I Finally Understand What 'Attention' Actually Does — and It Changed How I Scope AI Features
Grant Sanderson's 3Blue1Brown series on neural networks and transformers, translated into product language: why evals matter, why long context costs money, and why facts aren't editable.
What 4.5 Hours of Karpathy Taught Me About Being a Better Product Manager
Andrej Karpathy's two YouTube lectures on LLMs, translated into product management terms: why hallucinations are structural, why context engineering is a PM discipline, and more.
A Review Board for a Company of One
Eight Claude Code subagents that critique my specs, decks and posts before anyone real does — what they're good for, where they fail, and why loops are the natural next step.
Evals Are a Product Manager's Job
Most writing about LLM evaluation is aimed at engineers. But defining what 'good' means for an AI product is product work — and it's the skill I'd bet on hardest right now.
One screen for the week: why I built my own dashboard
My todos lived in Google Calendar, my study plan in markdown, my surf forecast in a separate app, and my weekly reviews in my head. So I built Week Board — a local-first dashboard that puts my entire week on one screen.
How I vibe coded this website (and why it was easier than I thought)
From a blank chat to a live site on my own domain: brainstorming with Claude, building with Claude Code in VS Code, and shipping with GitHub, Vercel, and a Namecheap domain.