Assign AI. Keep the learning visible.
Teachers describe the work in their own words. Atlas builds a course-grounded agent session, guides the student without taking over, and returns the process as evidence.
“I want them to figure out why this pricing idea might fail, but do not let Atlas tell them the answer. Make them use the elasticity reading, ask why their assumptions hold, and if they change their mind I want to see what changed.”
- Evaluate a pricing strategy with elasticity.
- Question assumptions without making the decision.
- Use the Week 2 reading and class model.
- Keep the claim, challenge, revision, and final rationale.
AI becomes part of the assignment.
The student works with an agent shaped by the teacher, the course, and the specific learning goal. The process stays connected to the final artifact.
StudentI think the new tier works because the highest-value group will pay more.
AtlasWhich assumption in the elasticity reading supports that claim?
StudentIt does not yet. I need to separate willingness to pay from switching risk.
What returns to the teacher
- The initial claim and its assumptions
- The course material used
- The challenge that changed the reasoning
- The final artifact and rationale
Start with one assignment worth seeing clearly.
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