A server rack fits in a closet. A team of AI agents runs on a computer the size of a hardcover book. Here is the exact build that runs Avenix, and a planner that sketches yours from what you want to do with it.
I taught myself this one part at a time. Phase 1 is a small closet rack with one quiet mini PC doing the real work. It hosts the agent workforce that runs this agency. Storage and a GPU come later, when the work calls for them.
Pick what you want to do. The planner suggests the parts, draws the rack, estimates power and heat, and splits the build into phases so you can start small and learn as you go.
Parts are listed by type with example classes, not brands to buy. Watt figures are typical planning ranges, not measurements. Check prices and specs when you shop.
AI is moving from apps you open to systems that run on their own. Someone sets up the machines, the storage and the network those systems live on. That layer is learnable, and a closet rack is the cheapest classroom for it.
The same pieces run every data center: compute, storage, a network, power that doesn't drop, and software that watches all of it. Learn them at 20 watts and the big version stops being a black box.
A model on your own hardware reads your documents without sending them anywhere. You decide what leaves the house.
An always-on box can sort files, draft replies and watch for problems overnight. You review the results in the morning.
Local copies, a battery and your own tools mean an outage elsewhere is an inconvenience, not a stop.
Linux, containers, networking and backups build on each other. The second problem takes half the time of the first.
Avenix started this way: one question, one part at a time, written down as it went. You don't need permission or a degree to start. You need a small box, a notebook and a reason.
A private AI chat, a photo backup, a firewall. One clear job keeps the first build small.
An old laptop runs Linux fine. Buy hardware when you know what you're outgrowing.
Keep a build log: what you tried, what broke, what fixed it. Future you will thank you.
Storage, then a GPU, then automation. Each phase teaches the skills the next one needs.
Capable open models run on one consumer GPU. A mini PC can host a small team of agents and the tools they use.
Homes and small businesses run their own control rooms: agents with access to calendars, books and devices, on hardware the owner controls.
Compute becomes something you produce at home, like rooftop solar. Knowing how to run it becomes a practical trade skill.
Avenix designs and builds AI systems for small businesses: agents, automations and the infrastructure under them, set up to run without someone watching. Tell us what you want to automate and we'll scope it.