A team of AI agents (multi-agent)

What it's for

Rather than a single agent that has to know everything, you can build a real team of AI agents. A "lead" agent (the supervisor) receives each request, hands it to the right specialist (support, billing, appointment booking, etc.), then reviews the answer before it goes out to the customer. Your customers feel like they are talking to an expert team, not a generalist robot.

How it works

• The supervisor reads the customer's request and picks the best-suited specialist, based on each agent's description.
• The specialist drafts an answer from its knowledge base.
• The supervisor reviews and refines the answer before sending.

Setting up your team

1. Create several agents (see "Create your first AI agent"), one per specialty. Give each a precise description of its field: this is what lets the supervisor route requests correctly.
2. For each agent, open the Settings tab and set its role: specialist or supervisor.
3. Designate one agent as the supervisor; the others stay specialists.
4. Link the supervisor and all specialists to the same inbox: in each agent, the Channels tab, tick the same inbox.

Write good descriptions

Routing relies entirely on each specialist's description. Be clear: "Handles refunds, returns and delivery issues" is far more effective than "Support".

💡 Tip — Start simple: a supervisor plus two or three specialists is often enough. You can add more later. Test the whole team in the Playground before going live.