The missing transport layer in user-facing AI applications

AI applications face challenges in maintaining seamless user experiences due to the limitations of existing transport layers, particularly in handling durable sessions across multiple devices and interruptions. Traditional request-response models struggle when connections drop, users switch devices, or agents need to hand off tasks to humans, leading to corrupt state and duplicate outputs. The absence of a robust transport layer results in issues like state corruption during reconnects, lack of visibility into agent actions, and inefficient resource use when users disconnect. This has led teams to create makeshift solutions that often fail under production loads, diverting resources from core features. The emerging solution is a dedicated infrastructure layer for durable sessions, akin to durable execution for back-end workflows, which ensures continuity and state persistence. Ably AI Transport offers a drop-in solution that simplifies these complexities by providing resumable streaming, multi-device continuity, presence management, and bi-directional communication without altering existing AI models or orchestration processes.