Jarvis: the agent that manages the agents
Once a business runs several AI agents, the hard problem stops being any one agent. It becomes keeping all of them on schedule, on budget and stoppable. Jarvis is the supervisor that does that.
The challenge
Separate cron jobs for each agent meant failures went unnoticed, costs were only seen after the fact, and there was no single place to see what was running or to stop it.
What we built
- 01
Register
Each agent is registered with its jobs, schedule, autonomy level and daily budget.
- 02
Schedule
Every five minutes the supervisor starts any job that is due.
- 03
Retry and alert
A failed job is retried once. A second failure sends an alert to the owner's phone.
- 04
Enforce budgets
Spending is read from each agent's own metering, and paid work pauses at the daily cap.
- 05
Stop on command
A kill switch stops one agent or all of them instantly.
- 06
Show the fleet
A live graph shows the supervisor, every agent, and every job with its last and next run.
Guardrails
- The supervisor never edits an agent's code or rules. It schedules, measures and stops.
- Costs are measured from real usage, not estimated.
- Low-cost, customer-facing work, like replying to a comment, can be exempt from the budget pause.
Results
- Every agent on one schedule with one budget system and one off switch.
- Problems surface as a phone alert within minutes instead of being discovered later.
What we learned
Under the hood
More case studies
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