Deploy
Test somewhere that cannot touch a customer.
Three environments, with synthetic data and mock tools in development, and no route from one to the next except promotion. An agent is built and tested against fake customers and fake invoices, then promoted — the same manifest, the same version, against real capabilities.
Sandbox tools cannot reach production
A development agent holding "send email" sends it into a mock mailbox. There is no configuration that points a development agent at a production capability, because that is how test data reaches real customers.
Promotion carries the version, not a copy
What you tested is what runs. Promotion moves a specific version between environments rather than rebuilding it, so behaviour cannot change on the way.
Secrets are per environment
Separate credentials per environment, separately scoped. A leaked development secret reaches nothing that matters.
Production promotion needs approval
Moving an agent into production is an approval, with the review screen. A one-click path from a developer's laptop to a live customer mailbox is not a feature.
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.
Budgets and limits
Ceilings on actions, spend and calls. Hit one and it stops.
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]