An architecture where multiple AI agents collaborate, each handling specialized subtasks, to complete complex workflows.
Multi-agent systems decompose complex tasks — like running an outbound sales campaign — into specialized roles: a researcher agent, a copywriter agent, a quality-check agent, and a sending agent. Each agent operates within its domain of expertise and passes outputs to the next. This division of labor mirrors how human teams work and allows AI to tackle tasks too complex for a single prompt.
Most founders who try AI agents hit the same wall: it works in the demo, breaks in production. Here's why — and how to build agents that hold up.
How to chain AI agents together to act as a 24/7 Sales Development Rep, driving pipeline without adding headcount.
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