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Run it reliably

Stop work without corrupting its record

Withdraw unwanted work while preserving the truth about effects already in flight.

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Stop work that is queued, running, or waiting for approval as soon as it is safe to do so.

What this changes for your team.

A stop request prevents further actions once the current operation can stop safely. Work waiting in a queue or for approval is cancelled. An action already sent to another app may still finish, and its status stays in the activity history.

How it works in practice.

  1. 01

    An authorized operator records a cancellation request on the turn.

  2. 02

    The queue or worker checks that request at defined boundaries between operations.

  3. 03

    The turn enters a cancelled state once no further model or tool action will be started.

What you can plan around.

What to expect, including limits that matter to your team.

Stop requests are saved so they survive a restart.

Approval-parked cancellation closes the pending path without approving its write.

An action already sent to another app may still finish. The audit record distinguishes it from actions that were prevented.

Complete the operating path

View all capabilities
Run it reliablyLimit simultaneous work in connected apps

Bound how many turns one agent can execute at once and make overload visible to the caller.

Run it reliablyExpose uncertain side effects after a crash

Avoid duplicating an external write when the platform cannot prove what completed before a crash.

Operate and improveOperate from one monitor room

Move from an individual run to fleet health and recurring failure patterns without changing tools.

Bring one real process

See how Yekar.AI fits the way you work.

Start with a job your team already owns, plus the tools and decisions around it.

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