The Operator's Agent OS

The guardrail system for running AI agents in a business where mistakes cost money.

The files, the reasoning, and the receipts — not another course.

If you've read this far, you already feel the problem

You want the leverage of AI agents. You do not want to wake up to a customer charged wrong, a claim you'd never approve, or an account frozen because an agent ran against a setup that was quietly broken. You want to move fast and sleep at night. Those two things only coexist if you build the guardrails first.

What you get

The File Pack — real, working code

Not slides, not a demo.

A state file that acts as your single source of truth.
A health-check validator that grades your setup green/yellow/red and refuses to proceed when something's wrong.
A gate wrapper so no agent runs unless the check passes.
A compliance-review agent that catches bad claims before they ship, plus example reviewed agents to model your own on.

The Playbook — the judgment, not just the files

Why each guardrail exists and what breaks without it — the reasoning a course can't give you because its instructor never had real stakes.
Your daily operating loop, so the discipline runs on the system instead of your memory.

The Cost of Getting It Wrong — the receipts

Real, cited, dated enforcement actions across claims, data, and payments — each mapped to the guardrail that would have caught it. Every figure is linked to its primary source; verify them yourself.

The Stack Supplement — the tooling, dated and versioned

How to think in layers, the one required spend, and a worksheet to build the smallest stack that does the job.

PLUS: every update for the first 3 months is included. The tooling underneath this changes constantly; your copy stays current.

What this costs vs. what getting it wrong costs

The failures documented inside this product were measured in millions, in frozen processors, and in businesses that didn't survive the mistake. The guardrails cost you minutes to run. That asymmetry is the entire argument.

Launch pricing (pay what you want): suggested $79, floor $29. After the launch window this moves to a fixed $149.

This is a real, stated change — there is no countdown and no fake scarcity; if you're reading this during launch, the launch price is live.

Get the Agent OS — pay what you want

Suggested $79 · file pack, playbook, cost-of-getting-it-wrong appendix, stack supplement, and 3 months of updates. Everything you download is yours to keep.

Who this is for — and who it isn't

It's for operators running agents in a business with real exposure: money moving, customers, claims, regulated or processor-sensitive categories. It's for the semi-technical builder who can wire things up but wants the production-grade pattern.

It's NOT for someone who wants a no-code magic button, and it's not a beginner's "what is an agent" course. There are plenty of those. This is the layer they skip.

Honest about what it is

This is a system and a way of thinking, not a guarantee of any outcome. It won't make claims about what you'll earn, because the whole product is about not making claims you can't back. The compliance-review piece is a pattern you adapt to your own category — you bring the specifics of your risk surface. What you're buying is the architecture and the judgment, proven against documented failures.

The ask

If you're going to run AI agents where money is on the line, build the guardrails first. Here's the whole system to do it.

Get the Agent OS — pay what you want (suggested $79)

Includes the file pack, the playbook, the cost-of-getting-it-wrong appendix, the stack supplement, and 3 months of updates. Everything you download is yours to keep.

One-time purchase. Pay-what-you-want during launch (min $29), then a fixed $149.
Updates: the first 3 months are included with purchase. After that window, continued updates are optional at $15/mo (recurring; cancel anytime) — you choose whether to keep them; everything you've already downloaded stays yours regardless.
Not legal or financial advice.
Cimaluce is not affiliated with, endorsed by, or sponsored by Anthropic or any company named in the materials.