Your Agent OS
Build the system that sits under whatever AI tool you use. Identity, context, skills, memory, connections, verification, automations -- the seven layers that make an agent yours, not the platform's. No-code-required.
Course intro. Why an Agent OS, who it's for, and what you'll build by the end. Get your thinking off rented infrastructure and onto your own.
Install the harness, set up the vault, open the editor. Half an hour of setup before the seven layers have a place to live.
The mental model. The Director is you; the OS is the system you build under whatever agentic tool you pick. What you build under it matters more than which tool you pick.
The first layer. The file the agent reads before anything else -- your role, style, standards, hard rules. How to write one without quitting halfway.
The library the agent reaches into. Documents that tell it your situation, roadmap, customers, stakeholders -- everything generic AI can't know.
Repeatable workflows the agent fires by name. Stop re-briefing every conversation -- turn one-off prompts into named procedures.
What survives between sessions. Decisions, constraints, working agreements -- captured in a vault you own, retrieved by tools you can swap, pruned weekly so it stays load-bearing.
How the agent reaches outside your file system -- email, calendar, CRM, project trackers. The layer where the OS becomes infrastructure. Portable connections first. Vendor connections second.
How you keep the system honest. Catching the failure mode where the agent looks confident, ships work that seems right, and you don't notice until later.
The layer that runs without you. Scheduled jobs, briefings, monitors, cross-agent coordination -- where the Agent OS becomes actual infrastructure.
The handoff. What to do next, where to go for more, and what the next year of using your Agent OS looks like.