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.