The perception of speed in AI chat applications is as crucial as the actual processing time. Users often experience AI chat apps as slow due to psychological latency, where the absence of immediate feedback creates uncertainty. This issue arises because many apps follow a pattern of sending a prompt, waiting for a full response, and then rendering everything at once, which can lead to a disconnect between the user and the system. Server-Sent Events (SSE) can improve responsiveness by streaming responses token by token, but naive streaming can cause jittery sentence formation and exhaust users.

To address this, a StreamingTextController can be introduced to buffer incoming tokens and render them at a controlled, human-friendly pace. This approach ensures that the UI adapts to human reading patterns rather than forcing users to adapt to machine behavior. By decoupling network speed from visual speed, developers can create a user experience that feels calm and intentional, reducing cognitive load and improving overall user satisfaction.

This insight is particularly relevant for developers and designers of AI-driven applications, as it highlights the importance of user experience in the success of such applications.