Deploy
One agent can bring in another.
A sales agent that needs a company researched, a proposal drafted and a meeting booked can hand each piece to an agent that does only that. The delegation is recorded, every agent in the chain acts under its own identity and permissions, and none of them inherits the others'.
No inherited permissions
A delegating agent cannot lend a capability it holds. The specialist acts under its own grants, so a chain of four agents cannot assemble access none of them was given.
The chain is one record
An action taken by the fourth agent in a chain records which agent asked, and why, all the way back to the trigger. Without that, a delegated action has no explanation.
Depth and fan-out are bounded
Agents cannot delegate indefinitely or spawn without limit. An unbounded chain is a budget problem and a debugging problem at the same time.
Called a team, because that is what it is
A business owner understands a team with a lead and specialists. Describing this as a multi-agent system explains the implementation and hides the point.
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.
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.
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.
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