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EdTech · Math Education

Lesson-aware AI for every student. Live in 4 days.

Embedding AI into a live math tutoring platform — from API to student experience.

How Acceleo Matemática built a role-aware AI Teaching Assistant, usage metering, and real-time analytics — all on one integrated API platform.

EdTech
Apps API
Curriculum RAG
Per-student memory
Canada

Acceleo Matemática

assistants · classroom

Math Tutor

Live

Lesson Planner

Live

Student Coach

Draft

<4 days

API key to live

0

Infra managed

0

Lesson stages

Full

Session history

The problem

Acceleo runs live math tutoring across Brazil. Teachers needed an AI assistant that understood lesson context and adapted per student — without building model infrastructure.

Generic chatbots lacked curriculum grounding, role awareness, and session continuity. Production-grade memory, retrieval, and safety were required from day one.

What we built

We embedded a role-aware AI Teaching Assistant via the SundayPyjamas Apps API — different behaviour for teachers vs students, lesson-stage awareness, and curriculum retrieval.

Per-student memory, graceful fallback, and a real-time analytics dashboard gave visibility without operating model infrastructure.

What we built for Acceleo

  • Role-aware AI (teacher + student modes) across 5 lesson stages
  • 5-surface deployment: live session, post-session, TA workspace, lesson prep
  • Socratic method engine and async content generation
  • Safety enforcement + analytics dashboard

Technical integration

Lesson-grounded chat, per-student memory, curriculum retrieval, and resilient fallback.

Lesson-grounded chat

POST .../chat/message

lessonContext → grounded responses

Per-student memory

POST .../memory/save-messages

thread → session continuity

Curriculum retrieval

Vector index over lessons

query → cited answers

Graceful fallback

Local fallback route

resilient classroom experience

Outcomes

Live student sessions in under four days. Teachers run AI-assisted lessons across five surfaces without managing models or vector stores.

Students receive curriculum-grounded answers with continuity across sessions.

What this enables for EdTech

Role-aware assistants, curriculum RAG, and per-learner memory apply across learning products:

Tutoring & coaching

Stage-aware assistants that adapt tone and depth by learner role.

Corporate L&D

Grounded answers over internal playbooks with usage metering.

Certification prep

Socratic practice with memory of weak areas.

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