AI is evolving beyond single super-smart models to multiple specialized AI agents working together like a team of expert colleagues.
Coordinating multiple AI agents is challenging due to combinatorial complexity and the need for reliable orchestration.
Architectural patterns play a crucial role in orchestrating multi-agent systems effectively and ensuring reliability and scale.
Focus on making smart architectural choices, managing shared knowledge, planning for failure, and building on a solid infrastructure foundation to build robust, intelligent systems for the future of AI.