When businesses benefit from several specialised AI agents working together, and how to keep them manageable.
The short answer
Multi-agent setups use several specialised agents—content, operations, reporting—each with a narrow job. They're more reliable than one do-everything agent, as long as each has an owner.
Key takeaways
Narrow scope means better instructions and fewer errors.
One agent's output can feed another, e.g. a product content agent feeding a social content agent.
Register each agent with an owner and metric. Browse Switch's library of custom agents for typical specialisations.
They can pass outputs; humans still approve key steps.
Not if each agent is scoped and owned.
How this guide was made
Written and reviewed by our editors against vendor documentation, public regulation texts and practitioner interviews. We update guides when products or rules change. Tools mentioned may have a commercial relationship with this site; this never decides what we recommend.
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