Build Your AI Operating System
A structured implementation guide for building an AIOS that runs your business, frees your bandwidth, and scales without adding headcount. Follow the five parts in order. Each one builds on the last.
Before touching a terminal, understand the vocabulary and the framework. Every decision you make about what to build, in what order, at what level of automation — it all flows from this foundation.
Two paths to the same destination — choose the one that fits your comfort level. Both result in a working workspace with a primed CLAUDE.md and your four context files populated. This is the foundation everything else builds on.
VS Code or Cursor with the Claude Code CLI. Full control, parallel sessions, and auto-prime via shell alias. The path with the highest ceiling.
Claude Desktop App with pre-built modules. Download a ZIP, run /install, Claude walks you through everything. No terminal required to get started.
Context alone isn't enough. This phase connects your real business data and packages your repeatable processes into reusable skills — transforming the AIOS from a smart assistant into a genuine business intelligence layer.
Map your business funnel, build a local SQLite database, hook into every API you use, take daily snapshots, run a data audit, and get a mission control dashboard.
Package any repeatable process as a reusable playbook. The Skill vs. MCP distinction, skill anatomy, and a live Client Kickoff build: transcript → spec → Trello tasks.
With context, data, and skills in place, this phase turns your task audit into a structured automation roadmap. Augmented slash commands take immediate work off your plate. Cron jobs and triggers make work happen while you sleep.
Before client data enters the system — and before you scale to a team — these two modules lock the system down and make it efficient. Security without optimisation creates a protected but slow AIOS. Both are required for production use.
Six security layers that must be in place before real data enters the system. Permissions, hard-block hooks, CLAUDE.md rules, sandbox configuration, audit logging, and autonomous deployment safety checklist.
60–90% of tokens wasted by default — defaults are the problem, not you. Four free levers (RTK, context-mode, tuned settings.json, ccusage) get sessions running longer and eliminate the most common drain patterns.
The core vocabulary used throughout all five parts of this guide.
user_invocable: false. Always-on, auto-activates when relevant context is detected. Gives the AIOS access to an API or tool without being explicitly called. See → Module 01.--hook-only flag — without it, it adds tokens instead of removing them.