Deploy
An agent that reaches a limit stops and asks.
Set ceilings on what an agent may do in a day: emails sent, tool calls per minute, money moved, model cost per month. Reaching a limit pauses the agent, notifies its owner and produces a request to raise it — it never quietly continues, and it never silently does nothing.
The limit is the limit
An agent with a €120 daily cap does not spend €121. It stops at the cap, which is the only behaviour that makes a cap worth setting.
Reaching one is an event, not a silence
The owner is told which limit, when, and what the agent wanted to do next. A paused agent nobody knows about is as bad as a runaway one.
Raising it is a decision with a duration
"Raise the cap for seven days" rather than permanently. Temporary increases that quietly became permanent are how a limit stops meaning anything.
Cost limits are checked before the call
Model spend is evaluated ahead of the request, not reconciled at the end of the month. A monthly cost you discover on an invoice is not a limit.
Agent Runtime
The rest of this area.
Isolated execution, resource limits, retries and durable state.
How agents execute
Isolated environments, resource limits, clean starts.
Retries and durable state
What happens when something fails mid-job.
Environments
Development, staging, production. Promote, don't rebuild.
Model choice
Pick intelligence to match the job. Not one provider forever.
Agent teams
An agent can ask a specialist. The chain stays visible.
Give AI a job.
Build an agent, choose what it can access, define what it may do, and deploy it to work safely across your business.
No code required · Full SDKs and API · Stop any agent instantly · [email protected]