Multi-agent systems offer a compelling pathway to disrupt AI by distributing intelligence across numerous components. This approach contrasts with traditional centralized AI, where a central model interprets data. In multi-agent systems, decentralized agents interact to achieve shared goals, harnessing the knowledge of the aggregate intelligence. T