Conway's Game of Life
An interactive cellular automaton where simple rules create complex, emergent behavior.
Thoughts on design, development, AI infrastructure, and building products.
An interactive cellular automaton where simple rules create complex, emergent behavior.
After 12 years leading product design at ZipRecruiter, I learned which team structures ship and which polish endlessly. The patterns surprised me.
Design & UXI built a 3,500-line agent system with 86 hooks and consensus validation. Here's what I learned about RAG, fine-tuning, and agent orchestration.
AI & TechnologyI validated 12 projects in 9 months. Some followed the framework. Some skipped steps. The difference in outcomes taught me which evidence actually matters.
Career & GrowthI left VP of Product Design at ZipRecruiter after 12 years to build independently. No plan, no destination, just curiosity and a financial runway.
Career & GrowthMcKinsey found 90% of companies claim AI adoption but only 23% scale beyond pilots. I've witnessed three flavors of AI theater and practiced one myself.
AI & TechnologyI measured the cost of a database decision across three systems. Migration cost grew 15x in three years. A framework for when to decide fast vs slow.
Systems & ProductivityAfter 12 years as VP of Product Design, I watched three paradigm shifts. The skills that survived every one are the same skills AI can't replace.
Design & UXMy site uses a 13-step type scale from 12px to 80px. How I chose the ratio, why system fonts outperform custom fonts, and what the squint test reveals.
Design & UXAfter studying 16 products in depth, four cross-cutting patterns changed how I build interfaces. Here's what I learned and what I stole.
Design & UXEvery time you use RAM, read a QR code, or receive data from space, Hamming codes fix errors. An interactive exploration of self-correcting math.
Interactive ExplorationsA FastAPI site went from Lighthouse 76 with 0.493 CLS to perfect 100/100/100/100. The fix: critical CSS extraction, a CSS variable bug, and async loading.
AI & TechnologyTechnical writing at Introl
Comprehensive hardware recommendations and cost analysis for running large language models locally.
GPU selection guide comparing NVIDIA's latest datacenter accelerators for different AI workloads.
Deep technical dive into Google's Tensor Processing Unit evolution from TPUv1 to TPUv5.
Resource sharing strategies for GPU clusters in containerized environments.
Guide to building and managing distributed AI computing with Ray framework.
Analysis of open source LLM economics and DeepSeek's competitive positioning.
Future datacenter power requirements and NVIDIA's next-generation GPU roadmap.
Small modular reactor solutions for powering next-generation AI infrastructure.
Technical analysis of DeepSeek's Multi-Head Compression architecture innovations.