My AI co-operating system
Claude Code wired into my Obsidian vault with persistent context, managing notes, calendar, email, research, content pipelines, and automation. Built in public — with everything I've learned about what breaks, what works, and what's worth keeping.
A weekly newsletter on using AI to get real work done rather than chasing the hype — plus field guides, a glossary, and how-to guides for people wiring AI into actual workflows.
My consulting practice for larger engagements — AI adoption, automation, and the guardrails that make both stick. A security and education background applied to the unglamorous end: how you actually roll it out so people trust it and use it.
My home network rendered as an orrery — devices as orbiting bodies, with a live roster, instruments and a timeline. An observatory for infrastructure, built to see whether a network reads better as a solar system than as a table.
A real-time International Space Station tracker — live position on a world map, orbital telemetry (altitude, velocity, day/night side), the current crew roster, and pass predictions for your location, all streamed live over WebSocket.
A fictional corporate website for a company that makes things you didn't know you didn't need. SCUMM-era pixel art, satirical copywriting, and an HR department run by an angry Magic 8-Ball.
Productivity templates and systems on the Notion Marketplace. Built from years of refining knowledge management and project workflows.
Two open-source frameworks for AI adoption — one for strategy, one for execution — built around PAST: Purpose, Audience, Structure, Tone. It started as a paid product; open-sourcing it means the methodology outlives the business.
Stop sounding like everyone else. A practical field guide to detecting AI writing patterns, building your authentic voice profile, and editing AI output so it sounds unmistakably like you.
A step-by-step guide to creating your first Minecraft mods. Published by PC Pro magazine, this book walks beginners through modding Minecraft with practical projects.
A visual guide to computational thinking for children. Uses illustrated puzzles and challenges to teach problem-solving without requiring a computer.
