Agents & Agentic AI
Multi-agent system
A setup where multiple AI agents work together, often with different roles.
Example
Separate agents research competitors, analyze pricing, and review the final recommendation.
Why it matters
It lets separate workers handle different parts of a task or review one another's work.
You'll hear it
“The reviewer found a gap the research agent missed.”
Can you control it?
Set by the team
The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.
Common questions
- Do more agents always improve the answer?
- No. Extra coordination and repeated mistakes can outweigh the benefit.
- Can agents agree and still be wrong?
- Yes. Shared information or similar systems can lead them toward the same mistaken conclusion.
- Must each agent use a different AI?
- No. Separate roles can be built using the same underlying system.