Repo · Benchmarks & research
tenbin
Split a judgment into Choice, Score and Noul, lint it, then measure it.
Open github.com ↗How builders describe it
MCP server and agent skill for the TypeSafe AI System One API (Jev): decompose a judgment into Choice / Score / Noul questions, lint them, measure on labelled data, and put calibrated thresholds in code.
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 332 benchmarks & research projects →
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