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Platform › AI Agents › Multi-Agent
AI Agents

Multi-Agent

Multiple AI specialists working together on one job.

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What is Multi-Agent?

With Multi-Agent, multiple AI agents work on one task at the same time, each with their own specialism. This lets you tackle complex jobs faster and more thoroughly than with one all-rounder, because each part is done by the right specialist.

How does it work?

  1. You describe the task you want to have carried out.
  2. You decide together which specialised agents participate.
  3. The agents each pick up their part and work in parallel.
  4. The results are combined into one complete whole.

Use cases

Market exploration where one researches and the other summarises.
Campaign where copy, planning and analysis are handled simultaneously.
Customer case that requires both research and follow-up.
Report that combines data analysis and clear writing style.

Benefits

  • Complex tasks completed faster through parallel working.
  • Each component done by the best-fitting specialist.
  • More thorough result than with one generalist.
  • Scales with the size of the task.

Frequently asked questions

What is the difference with the Supervisor Agent?

The Supervisor directs and orchestrates the collaboration. Multi-Agent is about the collaboration itself: multiple agents working simultaneously on one task.

Doesn't it get chaotic with multiple agents?

No. The agents have clear roles and their work is combined into one result. You don't need to combine separate pieces.

Isn't this overkill for small tasks?

For simple tasks one agent is sufficient. Multi-Agent comes into its own with larger, multi-layered jobs.

Also within AI Agents

Sales Agent Support Agent Receptionist HR Agent Finance Agent Marketing Agent SEO Agent Research Agent

Deploy Multi-Agent for your business?

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