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JacqOS
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What is JacqOS?

LLMs are powerful and unreliable. They hallucinate, get prompt-injected, and confidently do the wrong thing. So when an agent could touch money, customers, or safety, most teams don’t trust it to act on its own — and they’re right not to.

JacqOS exists to fix that trust problem.

JacqOS is a platform for building, deploying, and monitoring AI agents you can actually trust. You get:

  • Studio — a desktop app to watch your agents run and see exactly why each action was allowed or blocked.
  • CLI — scaffold, run, replay, and verify agents from your terminal.
  • Cloud — deploy and operate your agents as a hosted service.
  • Bring-your-own-cloud — run JacqOS inside your own infrastructure. Coming soon, for enterprise.

You write down the rules your business actually cares about — “never refund more than $500 without a manager,” “never sell below the floor price,” “never double-book a slot.” JacqOS turns each rule into an invariant and gives you a mathematical guarantee: any agent action that would break that rule simply can’t reach the world. Your agent is free to propose anything; JacqOS refuses to execute the proposals that violate a rule.

The best part is that you don’t need a PhD to trust it. Each business rule maps one-to-one to an invariant in the system, so the proof JacqOS produces is something a product manager or a chief security officer can read and believe — the rule, the evidence it held, and a receipt for every action, all in plain terms. It’s a physics engine for your business logic: you set the laws once, and nothing the agent does can break them, because the world it runs in won’t allow it.

That’s the whole thing: agents propose, JacqOS proves. It’s built from the ground up to make agents you can trust — and to keep monitoring them once they’re live.

The fastest way to get it is to watch it happen. In the getting-started demo, a live AI car-dealership agent gets tricked into offering a $68,900 truck for $1 — and JacqOS blocks the offer before it ever reaches the customer.

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