Multi-agent systems offer a compelling pathway to disrupt AI by distributing intelligence across numerous components. This paradigm contrasts with traditional centralized AI, where a unified model interprets data. In multi-agent systems, independent agents communicate to achieve collective goals, harnessing the insights of the combined intelligence