VQV Signal

RESEARCH WATCH TECHNICAL

DECIDE benchmark tests voice-agent decisions on real production calls

According to a post on X from Scobleizer News Pulse, DECIDE is a voice-agent decision benchmark built in association with Bolna. It tests audio decisions such as when to speak or wait, how to route calls, which tool to pick, language switching, caller emotion and business intent, using real production calls. The benchmark has 4,867 questions drawn from 1,081 real clips across 32 tasks. It scores 20 direct-audio and speech-to-text-plus-text models on the same questions.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-07T14:35:00+00:00 Detected 2026-11-08T02:23:23+00:00
View original source

According to a post on X from Scobleizer News Pulse, DECIDE is a voice-agent decision benchmark built in association with Bolna. It tests audio decisions such as when to speak or wait, how to route calls, which tool to pick, language switching, caller emotion and business intent, using real production calls. The benchmark has 4,867 questions drawn from 1,081 real clips across 32 tasks. It scores 20 direct-audio and speech-to-text-plus-text models on the same questions.

AI-assisted summary based on the listed source.

DECIDE, built in association with Bolna, tests the audio decisions voice agents make on real production calls: when to speak or wait, how to route, which tool to pick, language switching, caller emotion and business intent. It has 4,867 questions from 1,081 real clips across 32 tasks, scoring 20 direct-audio and...

Teams building voice agents get a common test for the audio decisions their systems make, with 20 models compared on identical questions. The source snippet is cut off before its full explanation, so details beyond the listed scope are not clear from this post alone. Watch for the published results and any further detail on how the benchmark is run.

Signal Strength 91% Technical label WATCH Public Interest 51 Category RESEARCH Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 82 Novelty Interest Score 94 Consequence Score 34 Curiosity Score 48 Shareability Score 60

VQV surfaced this signal because it is recent, relevant to AI Voice, connected to Scobleizer News Pulse (X).