Multi-agent architectures offer a compelling pathway to empower AI by delegating intelligence across numerous agents. This approach contrasts with traditional centralized AI, where a unified model interprets data. In multi-agent systems, decentralized agents collaborate to achieve shared goals, exploiting the insights of the combined intelligence.