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