A team that has only used chat seats
Put TARX-OS on the Macs they already have. $0 seats. Show approval and Evidence on the first real write.
education · tomorrow · How does TARX teach people to use AI they actually control?
TARX teaches by running. TARX-OS is the classroom: Spaces, Control, Evidence, local inference. You see a goal, an approval, and a trail. That is literacy. Courses that only chat about agents leave people renting seats. Join the Supercomputer on a Mac you already own, or get your own T-4 when the desk needs dedicated NVIDIA.
We intend to lead AI education and advocacy. Not as a university. As the runtime people can put their hands on.
TARX-LOCAL handles private work on your computer. Connections stay off until you allow them.
Human funnel: People →

Most AI education is a demo of someone else’s cloud. A model answers. The student never sees policy, memory, secrets, or a write waiting on Deny or Allow. They leave knowing how to prompt a rented seat.
TARX-OS is the opposite lesson. First-run stays local. Conversation is the interface. The runtime is the product. A session can park for approval and resume. Evidence records what ran. Vault holds credentials so they never mix into ordinary memory. That is what we mean by education: the loop is visible.
Advocacy is the public half of the same work. Dispatches, Answers, and named-account analysis from public filings — not a farm of thin company URLs. We teach the category: seats versus silicon you own. Then we invite the team to Join, or get their own.
TARX-OS on computers you already own. Supercomputer hardware when the site needs dedicated NVIDIA.
Put TARX-OS on the Macs they already have. $0 seats. Show approval and Evidence on the first real write.
Student work, unpublished sets, and internal notes stay on the premise unless a route is approved.
One canonical page per question. Dated Dispatches. LinkedIn analysis of public companies. That is advocacy.
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Join beta on a Mac the team already owns. First-run stays local.
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Watch Control wait on Deny or Allow. Read Evidence after.
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Memory is context. Vault is secrets. Web lookup is off until you opt in.
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Get your own T-4 when shared work outgrows the laptop.
No. TARX-OS is the runtime. Education is what happens when people can see approval, Evidence, and local inference on silicon they control.
No. Start on Apple silicon. Get a T-4 when the desk needs dedicated NVIDIA.
Answers, Dispatches, and the product itself. One question, one canonical page. Not thousands of near-duplicates.
No. That is a rented seat. TARX is Join or own: TARX-OS on computers you already have, or TARX hardware.
Join the Supercomputer. Or own Private Hardware.
JOIN · TARX-OS

Always-on agents on silicon you own.
TARX is not a chat app. TARX-OS is the always-on governed runtime for AI agents and work. Install it on the Mac you already have. Chat is how you talk to it. The runtime stays on — goals, skills, approval, Evidence.
Join beta →OWN · TARX HARDWARE

When local is not enough, attach a TARX machine.
T-1, T-4, T-7, T-70, T-600. Model numbers. They join the Supercomputer — the mesh — for private cluster, burst, or air-gapped sites. Same OS. Same approval. Same Evidence.
Explore Private Hardware →TARX-OS seats are included. Configure the Supercomputer. Watch the math. Submit once.