Use Cases
Built for tutoring agencies and edtech teams
Pick your segment to see the workflows that matter most.
Tutoring agencies
Pain: AI tutor chats reach students before a human reviews them.
How TutorGuard helps: Paste replies → get unsafe / factual / policy flags in minutes.
Edtech product teams
Pain: Model answers look confident even when wrong.
How TutorGuard helps: Factual-error hints give tutors a rewrite starting point.
Parents / guardians
Pain: Hard to know if an AI tutor reply is age-appropriate.
How TutorGuard helps: Safety flags as decision-support — you still decide release.
School / agency operators
Pain: Stated policies never reach the chat layer.
How TutorGuard helps: Paste policy notes with the reply for a first-pass check.
refs: edtech student-protection practice · COPPA/FTC honesty framing · local school AI-use policies