How we rebuilt tutoring around AI

AI that turns every session into a personalized learning plan.

TBAI records the session, aligns the transcript to curriculum objectives, and updates a mastery profile across specific skills. AI drafts the next-session plan and a plain-language family recap; the educator edits, approves, or rejects every release.

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Curriculum-aligned masteryMicro-skill profiles update after every session.

Educator approval requiredAI drafts. Educators decide what is released.

Bilingual family recapsPlain language in English and French.

TBAI AI Copilot | Live Session

AI analyzing

AI Session Summary TBAI analysis engine

Naya (Gr. 9 Algebra) solved 3 of 4 linear equations independently. The transcript shows consistent equation isolation and a repeated gap when translating written scenarios into algebraic expressions.

Skill Mastery | Detected this session

Equation isolation+14%

Word problem translation-6%

Self-correction+9%

Personalized Learning Plan AI draft

Start with 2 untimed word-problem translations before any timed task.
Replay the word-problem example and model how each sentence maps to an expression.
Introduce negative-coefficient drills; track for 3 sessions.
Draft a 4-line English and French family recap for educator review.

Generated 2m 14s after class Awaiting educator approval

BridgePod community hub exterior at sunset with people gathering outside

A place shaped with community

Future community vision · BridgePods

Learning needs a place to land.

BridgePods are an aspirational community-space concept shaped with Indigenous communities. They are future work and are not included in current TBAI pilots.

Academic support Educator-led learning Cultural connection Community gathering

Explore the BridgePods vision

How the AI works

We did not bolt AI onto tutoring. We rebuilt tutoring around it.

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.

1. Session Intelligence

AI listens to the full session, aligns speech to curriculum objectives, and tags every moment of learning, struggle, and breakthrough.

2. Skill Diagnosis

The model scores mastery across subject-specific micro-skills and updates a learning profile after every session.

3. Educator Review Gate

AI drafts the analysis, plan, and recap. The educator can edit, correct, or reject every item before anything is shared.

4. Personalized Plan Engine

Minutes after class, AI drafts the next-session plan and a plain-language family recap in English and French from the same curriculum-aligned record.

Phase 1 Pilot Measures

A narrow, evidence-driven focus.

Current pilots validate curriculum-aligned mastery scoring, observable participation records, and educator-approved family communication.

Illustrative session trend

Mastery Profile

Equation isolation

+14%

Word problem translation

-6%

Negative coefficients

+9%

Multi-step checking

+5%

Illustrative pilot operations

Review and Delivery

Observable measure	Status	Owner
Sessions completed	7 of 8	Program team
Mastery profiles reviewed	8 of 8	Educator
Family recaps approved	8 of 8	Educator
Recaps delivered bilingually	8 of 8	TBAI

Our Approach

Current scope first. Future capabilities by separate decision.

Our current focus is narrow and evidence-driven. We are validating mastery scoring and family communication with school partners. Future versions may include expanded analytics and community dashboards. Every new capability returns to you as a separate decision with measured outcomes attached.

Early Access

Bring this platform to your learners.

TBAI is onboarding schools and community programs that need AI summaries, recording intelligence, and measurable student outcome tracking.