Multi-Agent Systems: How AI Skills Work Together

Just as a software company has developers, designers, and managers, a multi-agent system uses specialized agents for different parts of a problem.

One agent might be an expert at searching the web, another at writing code, and a third at reviewing that code for security flaws. Together, they achieve results a single model couldn't handle reliably.

The 'magic' of multi-agent systems lies in the orchestration. A supervisor agent often delegates tasks and synthesizes the final result, ensuring that all sub-agents are working toward the same objective.

This collaborative approach significantly reduces hallucinations and increases the accuracy of complex technical outputs.