Boids to Agents: Flocking Rules for AI Systems
Craig Reynolds' 1986 boids algorithm produces flocking from three local rules. The same principles and failure modes appear in multi-agent AI systems.
Interactive ExplorationsThoughts on design, development, AI infrastructure, and building products.
Craig Reynolds' 1986 boids algorithm produces flocking from three local rules. The same principles and failure modes appear in multi-agent AI systems.
Interactive ExplorationsMost agent instructions define behavior. The missing layer teaches self-evaluation. False evidence gates, seven named failure modes, and hedging detection.
AI & TechnologyNegative space is infrastructure, not absence. How emptiness, silence, and whitespace create structure in physics, music, information theory, and design.
Design & UXMulti-agent deliberation catches failures that single-agent systems miss. Here is the architecture, the dead ends, and what is actually worth building.
AI & TechnologyMy Claude Code agent inherited every sloppy human habit at machine speed. I built 3 philosophies, 150+ quality gates, and 95 hooks. Here's what worked.
AI & TechnologyXcodeBuildMCP and Apple's Xcode MCP give Claude Code structured access to iOS builds, tests, and debugging. Setup, real-world results, and honest lessons.
AI DevelopmentFive 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 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 & 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 & UXDesign + engineering + AI produced tools none of those skills alone could build. An interactive calculator and the cross-domain advantage in practice.
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 & UXI measured token consumption across 50 Claude Code sessions. Context exhaustion degrades output before you notice. Here are the patterns that fix it.
AI DevelopmentTechnical 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.