ai-scoring
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, letter grade)
- Are criteria weighted equally? (e.g., accuracy 50%, clarity 30%, formatting 20%)
A good rubric has:
- 3-7 criteria — more than that and scorers lose focus
- Clear scale anchors — what does a "2" vs a "4" look like?
- Observable evidence — criteria should reference things you can point to, not vibes
Step 2: Build the scoring signature
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