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Evaluator last updated September 23, 2025.

Overview

The Grade Level Appropriateness evaluator assesses whether AI-generated text is suitable for independent reading at a specified grade band. The evaluator considers:
  • Flesch-Kincaid grade level
  • Word count
  • Text structure – Organization complexity, connections between ideas, text features
  • Language features – Vocabulary, sentence complexity, figurative or abstract
  • Purpose – Explicitly vs. not explicitly stated, concrete vs. abstract
  • Knowledge demands – Discipline-specific knowledge, references, allusions
  • Student background knowledge – What students at a given grade level would already know

At a glance

The evaluator was built and validated using the model and temperature below (other configurations will produce different results and may have lower accuracy):

Getting started

Follow the Quickstart to start using this evaluator:

Inputs

Output

Interpreting results

Accuracy and validation

This evaluator is provided as Early access. Comprehensive accuracy measures are not yet available. Validation testing is ongoing.
We assessed performance against an expert-annotated dataset of CLEAR Corpus ↗ and Common Core Appendix B exemplar texts: For more information on our validation process, see Accuracy.

Evaluator release history