TBAI records each session, aligns the transcript to curriculum objectives, scores mastery across specific skills, and drafts a next-session plan and family recap for educator approval.
Every tutoring session is recorded and transcribed in real time. The AI aligns speech to curriculum objectives and tags every moment of learning, struggle, and breakthrough, searchable by the tutor, family, and school.
Once the session ends, the AI scores mastery across subject-specific micro-skills and updates a longitudinal learning profile that educators can review over time.
Minutes after class, the AI drafts the next-session plan and a bilingual family recap. The educator can edit, correct, approve, or reject the draft before anything is released.
We did not bolt AI onto tutoring. We rebuilt tutoring around it, with multiple AI systems that run on every session and keep working after the tutor logs off.
AI listens to the full session, aligns speech to curriculum objectives, and tags every moment of learning, struggle, and breakthrough.
The model scores mastery across curriculum-linked micro-skills and updates the learner profile after each session.
AI drafts the plan and recap. An educator edits, corrects, approves, or rejects every release.
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