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 built an autonomous agent system with stop hooks, spawn budgets, and filesystem memory. Here are the failures and what actually ships code.
AI & TechnologyI built my design system backwards: tokens first, components never. A CLS bug taught me the cost of skipping tokens. I stopped debating when to invest.
Design & UXFive prompt failures taught me that structured observation beats clever wording. Boyd's OODA loop maps directly to my daily prompt engineering workflow.
AI & TechnologyI built a site with no colors — just white on absolute black with four opacity layers. Here's the color science that made the decision work.
Design & UXI measured token consumption across 50 Claude Code sessions. Context exhaustion degrades output before you notice. Here are the patterns that fix it.
AI DevelopmentI tracked 30 development sessions using Claude Code and Cursor together. The data shows where each tool wins and where the combination fails.
AI DevelopmentAfter 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.