The operating system that runs your work — so you don't have to.
Field-tested AI workflows for non-engineer executives. Templates, prompts, and the kind of detail you only get from someone who actually runs them in production.
Build your AI operating system
The architecture, principles, and reusable patterns for offloading judgment and memory to AI — without breaking your business.
What is an Executive OS?
A working definition of the Executive OS, why it matters now, and the constraint that shapes everything published on this site.
Workflow OSThree Ways AI Agents Break Your Work, and How to Prevent Each One
A practitioner's guide to the three failure modes of AI agents — runaway cost, data loss, and runaway loops — and the controls that stop each one before it does damage.
Workflow OSHow to Stop Your AI Agent From Running Up a Bill
The four ways AI agent costs go wrong, the three required precautions that catch most of them, and the standing-instructions rule that closes the gaps spend caps cannot cover.
Tools that run on your OS
Hands-on reviews of the AI tools we actually use — what works, what breaks, and what's worth paying for.
OpenClaw vs Antigravity: When to Use Each
A practical side-by-side of two AI agents — Claude-powered OpenClaw and Gemini-powered Antigravity — based on actual use across real projects, with a decision flow for picking one or running both.
StackOpenClaw: A Practitioner's Field Guide
What OpenClaw does, what it does not, how to set it up safely as a non-engineer, and the first three tasks to run before letting it touch a single file.
StackAntigravity: A Practitioner's Field Guide
What Antigravity does, what it does not, how to set it up safely as a non-engineer, and the patterns that turn its visual-first agent into real production output.
Templates, SOPs, and prompt packs
Reusable workflows you can drop into your business this week. Built and battle-tested in real operations.
The AI Task Delegation Checklist
A 10-point pre-flight check for delegating work to AI agents — what to confirm before you let an agent edit files, run commands, or touch shared state.
PlaybooksHow to Instruct an AI Agent So It Does What You Asked
Most agent failures are instruction failures. This is the three-part pattern — goal, constraint, procedure — that prevents misinterpretation, plus reusable templates for the common task types.
PlaybooksStanding Instructions for AI Agents: The Pattern That Stops You Repeating Yourself
How to give an AI agent permanent rules that carry across every session, with copy-paste templates at three sizes and the trade-offs that decide which size is right for your project.
Short experiments and lessons
The smaller stuff — single experiments, mistakes, and the in-between moments of building with AI.