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Agents propose. People approve.

Why no AI agent in Kazn can change what you know on its own, and why that makes agents more useful, not less.

Ahmad Shrif · · 4 min read

There is one rule at the center of Kazn: agents propose, people approve. An AI agent can read your project memory and suggest what to add or change, but nothing becomes part of what you know until a person says yes.

It can sound like friction. In practice it is what makes it safe to let many agents work from the same memory.

Shared memory raises the stakes

When an agent keeps its own private notes, a mistake stays local. When every agent reads the same memory, a wrong decision written by one agent becomes the truth for all of them. One confident error can spread to every tool you use.

So the memory has to be harder to change than to read. Reading is open to the agents you allow. Changing goes through you.

What a proposal looks like

When an agent wants to record a decision or update a page, it sends a proposal with its reason. In Kazn’s Inbox you see the current version beside the proposed one, who suggested it and why. You approve it, or reject it with a reason the agent sees.

If the page changed after the agent made its proposal, the proposal is marked out of date and can’t be approved. Nothing is silently overwritten, and an approved decision can’t be changed by an agent on its own.

History is never thrown away

When a decision is replaced, the old one isn’t deleted. It is marked as replaced and linked to its successor, with the reasoning for both. Every change is a new version with who made it, when and why. Agents always get the current answer, and people can always see how it got there.

Even our own assistant follows the rule

Kazn has a built-in assistant that can answer from your workspace and help you make changes by chat. It follows the same rule as every outside agent. It prepares a change and shows it to you; the change is applied only when you approve it. It is off until a workspace owner turns it on.

Approval is a feature

The goal isn’t to slow agents down. It is to let you hand them more, because you know they can’t quietly rewrite the foundation. A person stays in charge of what is true; agents do the work around it.

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