Allen Pike describes a voice-input, visual-output approach to AI interfaces and an agent that can act on requests during team calls. He contrasts the timing needed for natural voice conversation with the more forgiving response window for visual feedback.
Pike discusses selecting fast models and inference platforms, then handing heavier work asynchronously to larger models. He recommends short inference intervals so an interface can respond while a person is still speaking.
He also explains how a stable cached context prefix and fewer output tokens can reduce inference latency and cost. The timing figures and model comparisons are presented as his design observations.
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