Why your AI UX keeps breaking (and what to do about it)

AI products are often hindered by user experience issues rather than model capabilities, primarily due to failures in the delivery layer between the AI agent and the client. Over nine months, discussions with over 40 companies revealed that most AI user experience problems stem from the transport layer, where sessions break, context is lost, and user trust erodes. The proposed solution is to implement "durable sessions," which are persistent and shared resources that remain intact despite connection drops, device switches, and agent crashes. This approach requires a transport-layer swap rather than a complete rewrite, allowing existing agents to be adapted without changing their core code. By decoupling the session from the connection, durable sessions enable features like multi-device synchronization, bidirectional control, and seamless human-AI handoffs, addressing common user frustrations such as dropped sessions and context loss. The concept was demonstrated using the Vercel AI SDK, showing the benefits of maintaining session continuity and coherence across different devices and agents.

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