1. Session Intelligence
AI listens to the full session, aligns speech to curriculum objectives, and tags every moment of learning, struggle, and breakthrough.
Traditional tutoring ends when the hour does. TBAI records the session, has AI diagnose skill mastery, emotional state, and intervention impact, then delivers a measurable learning plan minutes after class, every time.
Naya (Gr. 9 Algebra) solved 3 of 4 linear equations independently. Stress spiked at 09:12 on a timed word-problem; tutor re-paced and confidence recovered +25 pts by 09:24
Multiple AI systems run on every session. Together they turn one hour of human teaching into a measurable, personalized learning plan that keeps 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 hundreds of micro-skills per subject, updating a live profile that replaces one-time quizzes.
Confidence, stress, and engagement are inferred from voice and pacing. The tutor gets a prompt the moment a student is about to stall.
Minutes after class, AI writes the next-session plan, the family recap, and any alerts for counselors or principals, all from the same source of truth.
TBAI listens to the full session, aligns speech to skill objectives, scores mastery and emotional state minute-by-minute, and writes the tutor's next move, not just what happened.
Why this matters. The model detected stress escalation during timed tasks and suggested untimed decomposition. Confidence recovered from 46% to 71% inside the same session. The tutor saw this prompt at 09:12 and accepted.
Outcome logged. The 12-minute intervention arc is attached to this student's longitudinal record. If the same stress pattern appears next week, the tutor and AI will start from the strategy that already worked.
Every report is generated from the session recording, scored for model confidence, labeled with what the AI wrote vs. what a human edited, and structured so a parent, tutor, and principal each see what matters to them.
Algebra I | Grade 9 | April 24, 2026 | Session #18
Naya demonstrated strong mastery of linear equation isolation and corrected three independent mistakes without tutor intervention. The primary challenge was translating word problems into symbolic expressions when the task was timed. After the tutor, prompted by AI, switched to untimed decomposition, confidence recovered inside the same session.
Open with two untimed translation drills, then one timed prompt with guided reflection. Review recording clips from 09:12 to 09:24 before introducing new material. Revisit negative-coefficient drills next Tuesday.
TBAI builds a longitudinal profile from every session: skill mastery, effort, emotional resilience, and the tutor strategies that move the needle. Parents and schools see the same source of truth, updated after every class.
The platform surfaces learning and well-being outcomes side by side, so stakeholders can prove interventions are working.
| Metric | Before | After |
|---|---|---|
| Students below benchmark | 52% | 27% |
| High-stress session frequency | 38% | 16% |
| Tutor intervention success rate | 44% | 73% |
| Guardian satisfaction score | 61/100 | 88/100 |
TBAI is onboarding schools and community programs that need AI summaries, recording intelligence, and measurable student outcome tracking.
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