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.
Use Wolfram for formal notation; use Blake's reference to run Rule 110, test 8 neighborhoods, and see why it is Turing complete.
I validated 12 projects in 9 months. Some followed the framework. Some skipped steps. The difference in outcomes taught me which evidence actually matters.
Career & GrowthFive prompt failures taught me that structured observation beats clever wording. Boyd's OODA loop maps directly to my daily prompt engineering workflow.
AI & TechnologyDesign + engineering + AI produced tools none of those skills alone could build. An interactive calculator and the cross-domain advantage in practice.
Systems & ProductivityI built 95 hooks for Claude Code. Each one exists because something went wrong. Here are the origin stories and the architecture that emerged.
AI DevelopmentI use Claude Code daily with 86 hooks and a full quality gate system. Here's where I vibe code, where I engineer, and why the boundary matters.
AI & TechnologyAfter 12 years leading product design at ZipRecruiter, I learned which team structures ship and which polish endlessly. The patterns surprised me.
Design & UXI built my site at the intersection of beauty and brutalism: structural honesty, precise typography, and four opacity tiers on absolute black. No colors needed.
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 published 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.