Work fans out
A batch of records, a full inbox, a list of accounts. Each item becomes its own run.
Parallel agents
Move more work forward.
At the same time.
Run independent tasks in parallel and follow each result from one workspace. Individual runs keep their own status, budget checks, and history.
Work fans outRuns go in parallelResults come back together
Business context
Specialist agent
One screen, every run
The Floor shows all of it live, with status and cost per run rather than a spinner.
Failures stay contained
One bad record does not take down the batch. It is flagged and the rest carries on.
The cap still applies
Running in parallel does not route around your spend cap. It is checked before each paid action, every time.
Traced individually
Every parallel run keeps its own trace, so a wrong answer in run forty is as debuggable as run one.
How it works.
Runs go in parallel
They do not block each other, and one failing does not stop the rest.
Results come back together
One summary of what completed, what needs a person, and what it cost in total.
Scope and boundaries
- Parallel does not mean unlimited. Throughput is bounded by your plan and by the rate limits of the tools you connect.
- Order is not guaranteed across parallel runs. If a job must happen in sequence, it is a workflow, not a fan out.
- More parallelism costs more, and the cap will stop it rather than let it run.