A tutor that doesn't drift.
Audit-grade AI for learning — young and old, academic study and the classroom. Every answer is traceable; the explanation a learner saw last week is the one they get this week.
Young learners
School-age study with a tutor that explains its reasoning and never quietly changes its mind.
Adult & academic
Self-directed and academic learners who need traceable, citable answers — not a black box.
Schools with parents
Classroom deployments where parents and teachers can review exactly what the AI told a child, and why.
The AI remembers what it explained, and how — so next week's answer picks up where this one left off, not somewhere slightly different because the model drifted.
Every interaction is anchored to its model version, prompt version, retrieved sources and reasoning. Learners, parents and teachers can audit any past response.
Same question, same grounded answer. Continuity across a term, not a fresh roll of the dice each session.
The engine is the same everywhere. What changes is who reviews the cases it is not sure about — configured per deployment.
The learner
Low-stakes questions are answered directly by the deterministic agent, with its signed reasoning shown.
A stronger model on standby
When the deterministic agent isn't confident, a stronger general-purpose model re-examines the case and attaches plain-language reasoning before the answer reaches the learner.
A real teacher
A human reviews flagged cases. For school deployments and high-stakes contexts where every AI interaction needs human oversight.