Article · Benchmarks & research
Jev for Voice Agent Turn Detection
Veris tests Jev as a semantic turn-detection gate for one Pipecat voice agent from its VAmoS Pro Bench, with labels complete, short, and long.
Open veris.ai ↗How builders describe it
Veris tests Jev as a semantic turn-detection gate for one Pipecat voice agent from its VAmoS Pro Bench, with labels complete, short, and long. Interruptions fell from 52% to 11% of caller turns across noise conditions, but task completion barely moved and median replies slowed from 2.1 s to 4.6 s.
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →
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