Multi-agent architectures offer a compelling pathway to democratize AI by distributing intelligence across numerous agents. This approach contrasts with traditional centralized AI, where a single model analyzes data. In multi-agent systems, autonomous agents communicate to achieve shared goals, exploiting the knowledge of the aggregate intelligence