Repo · Benchmarks & research
jev-dev
同じ発言を jev と LLM の両方に判定させ、感情の変動値のズレと応答速度を1画面で見比べるデモ（affectus + Vercel AI Gateway）.
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同じ発言を jev と LLM の両方に判定させ、感情の変動値のズレと応答速度を1画面で見比べるデモ（affectus + Vercel AI Gateway）
How builders describe it
macOS demo that runs one utterance through both TypeSafe jev and an LLM judge, accumulates each verdict as a separate affectus emotional state, and shows the split as Plutchik petals, per-axis deltas and two replies generated from a single fixed persona.
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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