Your files stay on your device 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. Options More AI tools - Eval dataset builder (/ai/ai-evaluation-dataset-builder) - Fine-tune JSONL formatter (/ai/jsonl-formatter) - Context fit (/ai/context-fit) All AI tools (/ai) Was this tool useful? YesNo Canonical HTML: https://nutter.tools/ai/llm-evaluation-rubric-builder Markdown version: https://nutter.tools/ai/llm-evaluation-rubric-builder.md Plain-text version: https://nutter.tools/ai/llm-evaluation-rubric-builder.txt Agent index: https://nutter.tools/llms.txt