AC
AutoClaygent
Lesson 7 of 788% complete
10 min read

Quality Scoring

The 7-criterion rubric AutoClaygent uses to score every result

The 7-Criterion Rubric

Every Claygent result is scored on 7 weighted criteria. The weighted average gives you an overall score from 0-10.

How AutoClaygent Handles This

AutoClaygent uses this exact rubric to score every prompt iteration automatically. It identifies which criteria are failing and makes targeted improvements—no manual scoring required.

CriterionWeightWhat It Measures
Accuracy25%Is the extracted information correct?
Completeness25%Were all requested fields populated?
JSON Validity15%Valid JSON matching the schema?
Source Quality15%Used authoritative sources?
Step Efficiency10%No redundant steps taken?
Consistency5%Same input gives same output?
Error Handling5%Fails gracefully with null + low confidence?

Try the Calculator

Adjust the sliders below to see how different scores affect the overall result:

Interactive Rubric Calculator
Accuracy
25%
7
Completeness
25%
7
JSON Validity
15%
8
Source Quality
15%
7
Step Efficiency
10%
6
Consistency
5%
7
Error Handling
5%
7
7.0
Almost Ready — One More Iteration

Quality Thresholds

ScoreStatusAction
8.0+Production ReadyDeploy to full table
7.0 - 7.9Almost ReadyOne more iteration
5.0 - 6.9Needs Work2-3 iterations needed
< 5.0Major IssuesSignificant redesign

Scoring Each Criterion

Accuracy (25%)

ScoreMeaning
10Correct, verified from authoritative source
8Correct based on available evidence
6Plausible but unverified
4Partially correct (some fields right, some wrong)
2Likely incorrect
0Definitely wrong

Source Quality (15%)

TierScoreExamples
Primary10Company website, official LinkedIn
Secondary8Harmonic.ai, G2, official filings
Tertiary5News articles, press releases
Low Quality2Forums, user-generated content

Step Efficiency (10%)

StepsScoreInterpretation
1-310Optimal
4-58Acceptable
6-75Could be improved
8+2Too many steps
💡
Pro Tip

Focus on Accuracy and Completeness first — they account for 50% of the total score. Don't worry about efficiency until those are solid.

Key Takeaways

  • 7 criteria, weighted by importance
  • Accuracy + Completeness = 50% of the score
  • 8.0+ is production-ready
  • Track scores across iterations to measure improvement

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