AI Product

AI Learning Coach

A multi-agent learning companion that turns approved course content, learner goals, progress, and deadlines into personalized plans, explanations, practice, and timely guidance.

Who it serves

Personalized learning without losing institutional control.

K-12 schools, universities, online programs, executive education, and workforce learning teams can use the Learning Coach to provide structured guidance while keeping approved content and oversight at the center.

Personalized learning plan

Goal-aware plans with modules, checkpoints, pacing, and suggested schedules.

Course-grounded tutoring

Explanations, examples, and practice generated from approved learning materials.

Progress and reflection

Track completed work, confidence signals, quiz performance, and what needs more practice.

Governed reminders

Deadline and progress nudges through approved channels and policy rules.

TECHNICAL FOUNDATION

Core architecture

1
Multi-agent orchestration

Goal intake, retrieval, planning, tutoring, progress, reflection, and notification roles.

2
RAG & learner context

Permission-aware retrieval over course content, syllabi, rubrics, standards, and approved resources.

3
Data & integrations

LMS, identity provider, calendar, gradebook summaries, analytics, and content repositories.

4
Safety controls

Role-based access, age-appropriate controls, data minimization, logging, and teacher/admin oversight.

POC → MVP

Start with one learning context, then expand.

RAPID POC

From 1–2 weeks

Use one course, subject, or curated content set with synthetic or approved learner profiles. Demonstrate personalized planning, Q&A, practice generation, progress tracking, and learner summaries.

FOCUSED MVP

From 2–4 weeks

For contained scope: add selected LMS/identity integrations, role visibility, analytics, content approval, and safe-interaction policies. Larger enterprise integrations are estimated separately.