Minimize raw data
AhaPal stores learning artifacts that support review instead of treating every chat as equally valuable.
Safety model
Privacy, policy, and anti-dependency are part of the product loop.
Every important learning event can carry a policy decision, visibility scope, retention rule, and audit trail.
Data minimizationPrivate by defaultRetention rulesAudit trail
Start safelySeparate visibility
Students, parents, and schools should not need the same level of access.
Control dependency
The product watches for patterns where AI replaces student effort instead of supporting it.
Questions
Make the boundary explicit.
Is AhaPal designed for children?
It is designed for student learning workflows, with privacy and adult visibility boundaries treated as product requirements.
What happens in restricted contexts?
The system can limit actions, avoid final-answer help, and preserve receipt-style evidence instead.