Run AI on the your machine.
Private, unlimited, yours.
As frontier models become more restricted and hardware gets more expensive, the way forward is sovereignty: bringing AI into your home. This course takes you from “why” to setting up a local AI lab with agents running 24/7 — step by step, from laptop to multiple machines.
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What you’ll build
Private by default
Your prompts and responses never leave your machine. No third-party server logs; it even works offline.
Unlimited
No per-token toll. You only pay for electricity — which unlocks agents running all day.
Can’t be removed
No regional blocking, no access cuts, no price changes. The intelligence is yours.
The four tracks come together: you move from reason (T1), set up the hardware (T2), install models running and serving (T3) and get to 24/7 agents (T4).
The 4 tracks
Fundamentals
Why get into local AI now, what it really is, the myth of "dumb and slow," and the anatomy of an LLM.
Hardware & Lab
Hardware categories, what fits on your machine, OS/drivers, and private networking with Tailscale.
Installation & Techniques
Ollama, a ChatGPT-style interface, GGUF/quantization, parameters, local API, and RAG. The real hands-on experience.
Advanced & 24/7 Agents
Orchestration, always-on agents, and three step-by-step solutions: security scanner, web watcher, and your local buddy.
🎬 Where this course comes from
The thesis — hardware getting more expensive, frontier models being restricted, and local AI as a path to sovereignty — is inspired by the video "The most important concept to learn in AI" (Alex Finn). The course goes beyond the video: it turns the vision into practical step-by-step guide, from a laptop to multiple machines.