What is a multi-agent system?
A system in which several AI agents with different roles work together on a task, each handling the part it does best.
In detail
A single agent that does everything is error-prone and hard to maintain. A multi-agent system splits the task: some agents retrieve data, some write reports, some check results, and a coordinator ties them together, like a small team dividing the work.
For example
In a monthly business analysis, one agent pulls sales data from the ERP, one pulls cost data from the finance system, one handles analysis and writing, and finally a review agent checks that the figures are consistent.
How companies use it
Consider splitting into several agents when a single agent's task is too long or too complex, or when different permissions and expertise are needed.
Common misconceptions
Splitting too finely just to look advanced. The more agents there are, the more coordination cost and points of failure; if one can do the job, do not use three.
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