Multi-Agent AI Systems Must Work Like An Orchestra Without A Conductor

Key Takeaways: Multi-agentic systems have evolved into a dynamic, task-based organization of skills with a flatter hierarchy than a traditional military force, and some are headless. Agentic capabilities will also come from physical, deterministic engines, and those agents will talk to other agents in different formats to help ensure 100% accuracy, which AI models alone cannot achieve. Human effort is needed to ensure a design can be copyrightable, and on-prem proprietary models are another way