Multi-Agent Orchestration
Custom AI Team
Coordinate specialist Employees on a shared goal
Multi-Agent Orchestration lets you run a team of specialist AI Employees on a single objective, with one supervisor handling handoffs and quality checks. A research Employee gathers facts, a writer drafts copy, an editor reviews tone, and a publisher ships the result. Each one stays in its lane and passes work forward when ready.,You define the goal and the roster. The supervisor breaks the goal into sub-tasks, routes each one to the Employee with the matching Skills and Duties, and waits for results before composing the final output. Every handoff carries the context the next Employee needs, so nothing gets lost between steps.,This beats giving one generalist Employee a giant prompt and hoping it covers everything. Specialists go deeper, mistakes get caught at the handoff, and the supervisor enforces the order of operations. You get a complete deliverable instead of a half-finished draft that needs human stitching.
Benefits
How It Works
- Step 1 —
- Step 2 —
- Step 3 —
- Step 4 —
- Step 5 —
- Step 6 —
At a Glance
- < 2 min
- Average handoff latency
- 6x
- Throughput vs single Employee
- 24/7
- Coordinated team coverage
- 70%
- Reduction in revision cycles
Supervisor and specialist split
Shared memory across handoffs
Parallel and sequential steps
FAQ
How do Employees share information between steps?
Every Employee writes to a shared memory store keyed to the goal. The supervisor reads from it when assigning the next step, so context, decisions, and intermediate results travel with the work.
What stops Employees from stepping on each other?
The supervisor owns task assignment and order. Specialists only act when handed a sub-task, and conflicting outputs are reconciled by the supervisor before the next step runs.
Can I add or remove Employees from a running team?
Yes. Update the roster from the team page and the supervisor picks up the change on the next sub-task. Existing handoffs continue with the original assignees until they finish.
What happens if a specialist Employee fails a step?
The supervisor retries with adjusted context, escalates to a backup specialist, or pauses for human review based on the Duty you set for that failure mode.
Do I need a custom supervisor for each goal?
No. The default supervisor handles common patterns. You can write a supervisor Duty for a specific workflow when the routing logic gets domain-specific.