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# LLM evaluation rubric builder

Build weighted, anchored scoring rubrics with critical gates and a pass threshold, preview the deterministic score, and export the rubric plus an LLM as judge prompt.
Rubric namePass threshold

- Criterion 1RemoveLabelWeightScale lowScale highCritical gateA score under the minimum fails the whole preview, whatever the average saysCritical minimumAnchors, one per level (1 to 5)Preview score (blank skips)
- Criterion 2RemoveLabelWeightScale lowScale highCritical gateA score under the minimum fails the whole preview, whatever the average saysAnchors, one per level (1 to 5)Preview score (blank skips)
- Criterion 3RemoveLabelWeightScale lowScale highCritical gateA score under the minimum fails the whole preview, whatever the average saysAnchors, one per level (1 to 5)Preview score (blank skips)
Load JSON

A rubric earns its keep when the model grading never does the math: it hands back one integer per criterion, and code applies the weights, the threshold, and the critical gates. Per-criterion normalization is why a 1-5 scale and a 0-1 scale can share one weighted total. Anchors are the whole game, though: a criterion without a written description for its low end grades on vibes, and low scores drift. This page builds and previews rubrics; it does not run models, store rubrics, or collect scores over time.
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- [Eval dataset builder](/ai/ai-evaluation-dataset-builder)
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