The bill is bigger than it should be. Or something quietly stopped working. Or the whole thing just feels off. We’ve seen it before, we know where to look, and we fix it without touching anything you don’t approve. It starts with the same $1,500 read-only audit as everything else we do — credited toward the fix.
Cost leaks the operator can’t see from the dashboard.
A common one: the agent’s memory file has quietly grown past what the runtime can actually read. Every conversation re-sends a giant payload that gets silently trimmed before the agent ever sees it. Bigger bill, smaller brain. We’ve seen this drive $250/day in unintended Anthropic charges on a single setup.
Old automations still firing into the most expensive model around the clock, long after whatever they were doing stopped mattering.
Things that fail without raising an alarm.
Auth tokens expired. A scheduled sync hasn’t actually run. A channel hasn’t actually reconnected. There’s no error — just a quiet absence of the thing it used to do.
Your config claims a sync runs every hour. The system has no record of running it in six weeks. The agent answers questions based on stale data and sounds confident doing it.
Memory and context have rotted.
Terminated work, expired deadlines, dead initiatives — all still loaded into the agent’s working memory and influencing every reply.
A deadline from March is still flagged urgent in May. The agent prioritizes ghosts and asks you about things you finished or abandoned.
For people running the same AI on more than one machine.
Security guardrails, channel rules, behavior fixes — you remember setting them up, but they’re only in place on one machine.
Sub-agents and integrations from earlier ideas, never cleaned up, slowly drifting further out of sync each week.
Soft symptoms that usually point at real problems.
Reconnect loops, dropped sessions, websockets falling over. Usually a small misconfiguration that’s also burning agent runs every time it cycles.
Some things you’re fighting are actually security features doing their job. We tell you when to stop trying to fix them.
For the engineers reading this — these are the actual signatures we sweep on a rescue audit. If any of them mean something to you, you already know why we look:
Findings are written up in plain English. The technical detail is available if you want it; not required reading if you don’t.
You tell us what feels off. The audit is $1,500 flat — read-only, about a week — and it’s credited in full if we go on to rebuild.
Read-only audit. Every finding lands in a written report — with severity and what it’s costing you — before anything is touched.
Then hand back a healthier system and a plain-English report. Fixes only happen with your sign-off.
The failures we rescue people from — surprise bills, silent breakage, confidently wrong answers — come from AI that nobody is accountable for. A Cove-run operator is built so they can’t take root:
Nothing reaches a customer without your approval — so a bad day produces a bad draft, not a bad email.
Hard caps and alerts on AI usage from day one. The $250/day surprise on this page is structurally impossible.
We review what it actually said against your real conversations every month — drift gets caught before customers see it.
A named human accountable for it, with a response expectation. Silent breakage isn’t silent when someone is paid to look.
It can show you exactly what’s wrong, what it’s costing you, and what it’ll take to fix. $1,500, about a week, credited toward the repair.