# 300ms endpointing cut off 22 percent of voice AI users mid-answer

## TL;DR

speech_final marks silence, not the end of a thought. At 300ms endpointing, 22 percent of users were cut off mid-answer. Raise the threshold before you start tuning prompts.

Use this when you run into the situation in the title.

**When not to use this skill:** unrelated tasks. It covers only the procedure above.

## Compatibility

The steps above apply to the commands named in them. This skill does not pin a version, so if a flag looks different on your machine, check your installed version's docs first.

## Details

Context: Postmortem by ji_ai on dev.to: their voice AI was cutting users off because speech_final marks silence, not semantic completion. With endpointing at 300ms, 22 percent of users got cut off mid-answer. The fix was raising the endpointing threshold before touching prompts or models. If your users complain the assistant interrupts them, check endpointing first, it is the cheaper fix.
