TL;DR: AI agent streams break in ways most frameworks don't handle: dropped connections, mid-task interruptions, human handovers across devices. This post walks through a live demo of how Ably AI Transport handles all three — barge-in via explicit cancel signals, durable organization-side HITL, and decoupled multi-agent progress via LiveObjects.
You're mid-conversation with an AI support agent. You've explained the problem, the agent is halfway through a response, and the connection drops. When you reconnect, the response is gone.
You type the same question again. The agent asks the same clarifying questions again. Three minutes of context, gone. Not because the model forgot it, but because the delivery layer stored nothing.
Connection drops, page refreshes, and device switches all fail for the same reason: session state lives in the delivery connection, not independently of it. Ably AI Transport fixes this by storing the session in a channel that outlasts any individual connection. The demo below covers barge-in, human handover, and multi-agent coordination in depth: the primitives most production teams end up building from scratch.
Key takeaways:
