Snapshot

Customer	MakerBot Education
Industry	EdTech / K-12 & Higher Ed
Use Case	Generative-AI course creation, agent-led adaptive learning, community content marketplace
Platform Features Used	Visual Automation Engine, Front-End Builder, Instant SQL & Vector DB, Role-based AI Agents
Time-to-Launch	< 8 weeks
Projected Impact	100,000+ AI teaching experiences shared across the MakerBot community. A new - category defining AI platform - for K12 education.

The Challenge

Crafting immersive, hands-on projects usually forces teachers into an impossible trade-off: stick to rigid, standards-aligned worksheets or venture into personalized, experiential lessons that unleash a torrent of student questions they can’t possibly field alone. 

The vision - MakerBot Nebula - was to break that compromise by letting any educator spin up an AI-powered, standards-aligned learning journey in any language, using their own materials, and then share it with colleagues worldwide. 

With MakerBot Nebula, every classroom gains a trusted AI co-teacher that adapts to the teacher’s style - not the other way around - so inquiry-rich learning can flourish at scale while educators keep both the joy and their sanity.

To pull this off, the team needed:

1. No-Code Front-End: A way for educators (not engineers) to design the platform UI.
2. Instant, Scalable Data: A turnkey SQL + vector store to capture every AI agent, lesson object, and student interaction.
3. Production-grade AI Workflows: The ability to orchestrate multiple LLMs, retrieval pipelines, and assessment logic - without writing a backend.

Enterprise-level Support: Seasoned AI engineers who could move as fast as MakerBot Education’s two-month launch window.

The Intellectible Solution

“AI isn’t a strategy if you can’t build with it.”

1. Turn Processes into Scalable AI WorkflowsMakerBot’s standard lesson-authoring playbook was mapped directly into Intellectible’s workflow builder. Rubrics, outcomes and adaptation rules are now executable automations that can scale to thousands of classrooms.

2. Build Anything with the Visual Automation EngineUsing Intellectibles Front-End Builder, Intellectible Implementation Experts were able to quickly bring MakerBot’s UX vision to life with a drag-and-drop no-code interface - no dev team required. This visual canvas orchestrates RAG pipelines, translation models, and standards alignment logic alongside user authentication and database build out.

3. Access Elite AI Engineers - Without HiringIntellectible’s implementation squad operated as an extension of MakerBot Education’s product team. They tuned prompt architectures, advised on logic schema design, and stress-tested multi-LLM routing - all inside the same workspace.

Results

Metric	Outcome
Speed-to-MVP	58 days from kickoff to public beta
Content Scale	100,000+ AI teaching experiences forecast within Year 1
Global Reach	Content auto-translated & culturally adapted to any language
Community Network Effect	AI teacher experiences are indexed in a SQL + vector DB; educators & students search, remix, and reuse lessons instantly.
Pedagogical Precision	Each agent tracks mastery by standard, delivering truly personalized learning pathways - something never before possible in EdTech.
Conversation Transparency	All student–AI dialogues are securely logged and instantly viewable by teachers, giving them complete visibility and auditability - so trust stays at the center of every lesson.

Why MakerBot Education Chose Intellectible

Intellectible Value Pillar	Real-World Impact
“Build Faster.”	Cut the typical 9-month dev cycle to 8 weeks.
Scalable AI Workflows	SOP-to-automation mapping means every new subject area launches in hours, not weeks.
Visual Automation Engine	Easy to iterate on UX & logic- zero engineering bottlenecks.
Elite AI Engineers on Tap	Complex LLM orchestration & data architecture handled without adding headcount.

Looking Ahead

MakerBot Education is already planning:

• Auto-created topical news Agents – Scheduled web parsing results in source material on topical new subjects that intertwine into AI Agent learning experiences.
• District-level Analytics – aggregating vectorized interaction data for instructional coaches and district administrators to link their AI learning experiences to positive outcomes.

Education Partnerships – bringing the best of the edtech community to this platform - MakerBot Nebula makes it possible to create and deliver AI learning experiences on any topic - hundreds of edtech solution providers can engage with this platform.

In Their Words

“Intellectible let us think like educators and build like a top AI lab. We shipped a category-defining platform in under two months, and the partnership felt like we’d hired an entire senior AI team overnight.”

— Dottie Stewart, VP Sales Americas & Global Education Strategy, MakerBot - UltiMaker Education

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