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