Buyer problem
The buyer needs credible evidence.
Faculty need assessments that remain meaningful when students can use generative AI.
Why traditional tools fail
Legacy tools see output, not thinking.
Detection-first approaches can be unreliable, adversarial, and disconnected from learning goals.
How QLM solves it
QLM captures the process.
QLM supports process-based assessment, simulation tasks, oral defense, and AI-use transparency.
Evidence captured
The pilot produces reviewable signals.
Evidence includes process checkpoints, reasoning defense, revision history, and responsible AI-use documentation.
Pilot design
A focused pilot can run before a district or institutional rollout.
Start with one teaching center cohort and redesign a small set of high-risk assignments for faculty review.
- Select one cohort and one measurable outcome.
- Run QLM for a short cycle with teacher or leader review.
- Review misconception, reasoning, and evidence patterns.
- Decide whether to expand the pilot.
FAQ
Questions this page answers.
Does QLM recommend banning AI?
No. QLM focuses on assessment design that can make AI use transparent and human reasoning visible.
Who should sponsor a pilot?
Teaching centers, assessment offices, and academic integrity teams are natural sponsors.
Next step
Turn the category into a pilot.
Use this path when you want a pilot, research partnership, or product walkthrough.
Explore assessment conversion →