Keesan

The approval flow is the part I d want to see most clearly on a product like CtrlOps. For teams using AI around SSH or production infra, the scary moment is not command generation; it is deciding whether the next command is allowed.

What proof does the operator get before approval? For example: exact command, expected blast radius, prior command output, remaining debug context, and whether this is a new failure state or just another retry.

Curious how you think about that boundary, especially for teams mixing read-only prod users with fuller staging access.

One pattern we keep seeing: teams set a max budget or max iterations, but the expensive part usually starts earlier, when the agent keeps retrying without new evidence.

A better stop rule seems to be: before another retry, the agent should show what changed, what verifier passed, and what would make the next attempt stop.

In v60, we added AI features to all plans, including Open Source. With v61, we give you the controls for AI governance that make it yours to deploy safely.

Some call it the Fun Police. We prefer: AI that s realistic for orgs of all types to roll out, including those who need tighter oversight over who gets to use it (bit of a mouthful though).