The chained transform result is particularly striking: pull-through semantics eliminate the intermediate buffering that plagues Web streams pipelines. Instead of each TransformStream eagerly filling its internal buffers, data flows on-demand from consumer to source.
This isn’t as simple as measuring loudness. Human speech includes pauses, hesitations, filler sounds, background noise, and non-verbal acknowledgements that shouldn’t interrupt the agent. Downstream from this are the things everyone notices: end-to-end latency, awkward silences, agents cutting you off, or talking over you.
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