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Posted on • Originally published at aitechconnect.in

Latency Budgets for Chat UX: Streaming, TTFT and Perceived Speed

Originally published on AI Tech Connect.

What "fast" really means for an AI feature Ask a product manager whether their chat assistant is fast and they will usually quote a number: the model returns a full answer in six seconds, say, or a summariser finishes a document in four. Ask the person actually using it, and you get a different verdict entirely. Speed, as users experience it, has almost nothing to do with total generation time. It has everything to do with how quickly the interface stops feeling dead and starts feeling alive. This is the single most important thing to internalise before you tune a single parameter: users judge an AI feature by how fast it feels, not by how long it takes to finish. A response that begins appearing four hundred milliseconds after the user hits enter and then streams smoothly to completion…


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