Education teams bring us tutoring and assessment tools that answer confidently and wrongly, generative features whose cost per student grows faster than enrolment, and academic-integrity checks that nobody can explain to a student who disputes the result.
How It Connects
Model choice and evaluation land in the LLM Selection Pack and Generative AI; cost per student in the Inference Cost Cut Pack; evidence about what a tool can and cannot be trusted with in AI Governance and Trust.
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We evaluate it on questions from your own course material, graded against your answer keys, and report where it fails as well as how often. The result is a pass rate on your content, not a benchmark score from someone else's.
We test the detector on your submissions where authorship is known and report its false-positive rate. On that evidence it can prompt a closer look by a person; it should not be the only evidence in a case.