Multi-agent AI systems need infrastructure that can keep up

Amber Dawson explores the complexities of building multi-agent AI systems, using a travel planning demo to illustrate the need for robust infrastructure to support coordination, visibility, and responsiveness. The demo involves an orchestrator and specialist agents for flights, hotels, and activities, highlighting the importance of synchronizing state updates and providing users with real-time visibility into each agent's activities. It emphasizes that while streaming tokens is common, users require deeper insights into agent behaviors, which necessitates infrastructure capable of handling multiple publishers and structured state updates. Ably AI Transport is highlighted as a solution offering reliable transport layers, state synchronization, and presence detection, ensuring that agents remain responsive and synchronized regardless of network fluctuations or complex user interactions. The patterns used in the demo apply to broader enterprise scenarios, including research, document generation, and customer support, demonstrating the critical need for infrastructure that supports concurrent agents, shared state, and user visibility.