Short, practical guides to operating an AI fleet under command — from your first ingest call to the kill-switch runbook.
Any agent can report into the command center through the ingest API. One POST per event — the pipeline takes it from there: baselining, drift detection, escalation, audit.
Send heartbeats even when nothing is wrong — silence is data too. An agent that stops reporting gets flagged exactly like one that's failing.
A pack is a manifest plus detectors. Declare what you watch, the tolerance band, and what happens when it breaks — the command center handles scheduling, state, and escalation plumbing.
Start from one signal and one threshold. A pack that watches a single metric well beats a dashboard that watches twenty badly.
Every severity needs an owner and a clock. A workable starting policy:
Review the policy quarterly. The policy that was right for five agents will be wrong for fifty.
When an agent goes rogue, speed matters more than elegance:
Practice this on a staging agent before you need it for real. Runbooks rot; drills don't.
Every human action and every system escalation decision is recorded — who did what, to which agent, and why. Query it like the source of truth it is:
If an intervention isn't in the audit log, it didn't happen. That property is what makes the log admissible — to your board, your auditors, and your future self.
See the command center running a live simulated fleet — or join the waitlist for early access.