Multi-agent architectures offer a compelling pathway to democratize AI by distributing intelligence across numerous components. This model contrasts with traditional centralized AI, where a central model interprets data. In multi-agent systems, independent agents communicate to achieve shared goals, exploiting the insights of the total intelligence