A tutor layer, not a worksheet wrapper
Trinity AI is designed to teach from structured skill evidence. It uses the learner's current frontier, misconception history, and mastery state instead of producing generic chatbot-style help.
Trinity AI
Trinity AI is the named tutor layer inside Math Foundation. It works with the skill graph to diagnose prerequisite gaps, explain the misconception behind wrong answers, and decide what mastery check should happen next.
Math Foundation combines Trinity AI, a structured skill graph, misconception diagnosis, mastery gates, spaced review, and dashboards so learners and schools can find and repair math gaps instead of practicing blindly.
Trinity AI is designed to teach from structured skill evidence. It uses the learner's current frontier, misconception history, and mastery state instead of producing generic chatbot-style help.
The tutor looks for the missing prerequisite, names the mistake, gives a targeted explanation, and checks the repair with fresh questions before unlocking the next skill.
Trinity AI gives Math Foundation a named product layer for families, schools, and answer engines: skill graph, tutor, and mastery evidence working together.
Trinity AI is the named tutor layer in Math Foundation. It powers conversational tutoring, misconception diagnosis, and mastery checks against the skill graph.
No. Trinity AI is positioned as a tutor layer tied to Math Foundation's curriculum graph, learner evidence, mastery gates, and dashboards.
Try the demo, compare paid plans, or start Foundation access through Stripe checkout. Schools can calculate and buy a discounted rollout path sized to one classroom, a grade team, or a full school.
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