Conway's Game of Life
An interactive cellular automaton where simple rules create complex, emergent behavior.
Writing
Thoughts on design, development, AI infrastructure, and building products.
LLM Tokenization: Why Korean Costs 2.8x More Than English
Translating my site into 6 languages revealed that Korean costs 2.8x more tokens than English for identical content. An interactive visualizer shows why.
AI & TechnologyColor Science for Interfaces: Building a Zero-Color Site
I 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 & UXClaude Code Extensions: Organizing 139 Skills and Hooks
Claude Code offers four extension types. After building 95 hooks, 44 skills, and dozens of commands, I learned which abstraction fits which problem.
AI DevelopmentContext Window Management: 50 Sessions of Data
I measured token consumption across 50 Claude Code sessions. Context exhaustion degrades output before you notice. Here are the patterns that fix it.
AI DevelopmentVibe Coding vs. Engineering: Where I Draw the Line
I 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 & TechnologyThe Ralph Loop: How I Run Autonomous AI Agents Overnight
I built an autonomous agent system with stop hooks, spawn budgets, and filesystem memory. Here are the failures and what actually ships code.
AI & TechnologyDesign Systems for Startups: How I Built Mine Backwards
I 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 & UXBuilding AI Systems: From RAG to Agents
I 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 & Technology16 Design Case Studies: Four Patterns I Adopted
After studying 16 products in depth, four cross-cutting patterns changed how I build interfaces. Here's what I learned and what I stole.
Design & UXHamming Codes: How Computers Catch Their Own Mistakes
Every 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 ExplorationsFrom 76 to 100: Achieving a Perfect Lighthouse Score
A 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 & TechnologyExternal Publications
Technical writing at Introl
Local LLM Hardware Pricing Guide 2025
Comprehensive hardware recommendations and cost analysis for running large language models locally.
H100 vs. H200 vs. B200: Choosing the Right NVIDIA GPUs for Your AI Workload
GPU selection guide comparing NVIDIA's latest datacenter accelerators for different AI workloads.
TPU Architecture: Complete Guide to Google's 7 Generations
Deep technical dive into Google's Tensor Processing Unit evolution from TPUv1 to TPUv5.
GPU Memory Pooling in Multi-Tenant Kubernetes
Resource sharing strategies for GPU clusters in containerized environments.
Ray Clusters: Distributed AI Computing Infrastructure
Guide to building and managing distributed AI computing with Ray framework.
DeepSeek V3 Open Source AI Cost Advantage
Analysis of open source LLM economics and DeepSeek's competitive positioning.
NVIDIA Vera Rubin GPU 600kW Racks 2027
Future datacenter power requirements and NVIDIA's next-generation GPU roadmap.
SMR Nuclear Power for AI Data Centers
Small modular reactor solutions for powering next-generation AI infrastructure.
DeepSeek MHC Architecture Breakthrough
Technical analysis of DeepSeek's Multi-Head Compression architecture innovations.
