Score, grade, or evaluate things using AI against a rubric. Use when grading essays, scoring code reviews, rating candidate responses, auditing support quality, evaluating compliance, building a quality rubric, running QA checks against criteria, assessing performance, rating content quality, or any task where you need numeric scores with justifications. Also use when building an LLM as a judge, a
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Build an AI Scorer
Guide the user through building AI that scores, grades, or evaluates work against defined criteria. The pattern: define a rubric, score each criterion independently, calibrate with examples, and validate scorer quality.
Step 1: Define the rubric
Ask the user:
What are you scoring? (essays, code, support responses, applications, etc.)
What criteria matter? (clarity, accuracy, completeness, tone, security, etc.)
What scale? (1-5, 1-10, pass/fail, let
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