Learn the exact system behind 28 autonomous agents running one person's life and work — and build your own version on Claude Code, from scratch, in a weekend.
A complete video course by JD Davenport — builder of the Nerve Center AI OS, 133 shipped projects, and a personal agent fleet that runs autonomously while he sleeps.
You're already using Claude or Claude Code. You know it's powerful. But every session starts from zero.
You re-explain your job, your projects, your preferences — every. single. session. Twenty minutes of setup before you do anything real.
Your goals are in Notion. Your meetings are in Calendar. Your decisions are in your head. Your AI agent knows none of it — and can't act without being asked.
You've built scripts, tested MCP servers, tried automations. But it's a pile of tools, not a system. Nothing talks to anything else. Nothing runs without you.
"What if your AI already knew everything about you, tracked your open loops, remembered your decisions, and worked while you slept?"
That's what a Personal AI OS is — and this course is the blueprint for building yours.
Six modules. Every piece of the system, explained and buildable. You leave with a working Personal AI OS.
The four-file system that gives Claude a permanent memory of who you are, how you think, and what you're working on. Why most people set this up wrong — and the exact format that makes AI feel like a longtime collaborator, not a stranger.
How to turn voice memos, meeting notes, and random thoughts into structured context your AI can act on — automatically. Build the intake pipeline that feeds your whole system without adding friction to your day.
The exact architecture for a domain agent that can take actions on your behalf — not just answer questions. Permissions model, tool setup, context injection, and the governance layer that keeps it from going rogue.
How to architect multiple specialized agents that work together without stepping on each other. The inter-agent messaging protocol, the CEO agent pattern, and how to build a fleet that scales with your ambition — not your calendar.
Health tracking, calendar intelligence, financial decisions, relationship CRM — wired into agents that actually do things. The open-loops doctrine: how to make sure nothing falls through the cracks when you're the only person running the system.
Building a personal command interface for your AI fleet — a real-time dashboard, Telegram control channel, and monitoring layer. How to get an at-a-glance view of what your agents are doing, what's blocked, and what needs your attention.
I'm JD Davenport — MBA student, Siemens product intern, and solo builder of the Nerve Center AI OS. Since January 2026, I've shipped 133 projects using AI agents, built a 28-agent fleet that runs autonomously, and architected a personal AI system that I now live inside.
I didn't build this to sell a course. I built it because I needed it. The course exists because enough people asked "how does your whole system actually work?" that writing it up became the only honest answer.
The Context Kit (free on GitHub) is the foundation layer. This course is everything built on top: the architecture decisions, the failure modes, the governance layer, the fleet orchestration — the parts that took me 18 months to figure out so you don't have to.
The course is in pre-production. Pre-order now at the founding price — you'll get early access, a live Q&A session with me, and your feedback shapes the curriculum.
This opens a pre-filled email to jddavenport46@gmail.com. JD will reply with a Stripe payment link within 24h. If recording doesn't reach production, you get a full refund.
Not ready to pay? Start with the free Context Kit on GitHub — the foundation of everything in this course.