Correctness is a gate.
A clear falsehood does not become good teaching because it felt easy to understand.
Outcome-based AI tutor evaluation
Ask whether the learner can explain, transfer, and remember the idea after the AI is gone.
No account · No model API · No analytics · Data stays in this browser
A clear falsehood does not become good teaching because it felt easy to understand.
The learner completes new questions after the tutor transcript is out of reach.
The report exposes the gap between perceived understanding and demonstrated performance.
Browser-local community lab
Use the built-in sample or import a reviewed task pack. The lab never contacts a model. You carry the teaching brief to the product you want to study, then return for an unaided assessment.
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The included sample is a community draft for testing the workflow, not an expert-validated assessment instrument.
Built-in sample
Statistics · undergraduate · approximately 8 minutes
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Do not use a model, search engine, notes, or course materials.
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Start a new conversation in the product you want to study. Paste the brief below, interact naturally, and return with the transcript.
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These are different questions targeting the same learning objectives.
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Transfer distinguishes reusable understanding from remembering the teaching example.
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This run is marked community-submitted and not-reviewed.
A correctness reviewer and a declared study protocol are required before it can
contribute to a verified ranking.
What makes the ranking different