Article · Benchmarks & research
An agentic classification loop, 7x faster
The loop replaced with a single Jev call, and the numbers published.
Open blog.r6i.it ↗How builders describe it
Sam Reghenzi's product-taxonomy benchmark: a Jev Choice at every level versus a gpt-5.2 agent that descends the tree and can be sent back by a judge.
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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