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Agent swarms

A swarm is a team of specialist AI agents that work a problem together — each with a role — instead of one model answering alone.

What it is

The concept, in plain terms

A single large language model is a generalist. It can answer almost anything, but it has no division of labor, no second opinion, and no one checking its work. An agent swarm changes that: it’s a small team of AI agents, each given a focused role — a researcher, a planner, a builder, a reviewer — that read the same context, take turns, and build on (or challenge) each other’s output.

The result is closer to how a real team operates. One agent drafts, another fact-checks against live sources, a facilitator drives the group toward consensus, and nothing consequential happens until a human approves it.

Swarm
Facilitatordriving consensus
Researcherweb check ✓
Engineerdrafting
Approval required — run command
Why it matters

What you get from it

  • Catches mistakes a single model would miss — a built-in second opinion.
  • Handles multi-step work that’s too big for one prompt.
  • Keeps humans in control of the decisions that matter.

See agent swarms on your own data

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