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.
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.
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.