02 / 11Flagship / AI Learning Platform
Zyx Academy
An AI-enabled learning platform combining structured content, assessments, spaced repetition, progress tracking, and retrieval-backed tutoring.
01Context
The engineering problem
Turn fragmented learning content, practice, progress, and tutoring into one coherent product that can support learners between live sessions.
Lead product architecture and full-stack development across learner experiences, relational and vector data, cloud infrastructure, AI workflows, and internal authoring systems.
A live platform and operating education initiative demonstrating long-term ownership across product, engineering, content operations, and delivery.
02System architecture
How the layers connect
The diagram is paired with a text alternative and remains readable without animation or WebGL.
- Learner: Structured content, assessment, spaced repetition, progress, and tutor support.
- Application: Full-stack product flows connect learning activity with operational workflows.
- Knowledge: Relational records and vector retrieval support grounded learning experiences.
- AI workflow: Retrieval-backed tutoring and internal authoring systems extend the product.
- Operations: Teaching, content decisions, and platform iteration continuously inform one another.
03Engineering decisions
Choices that shaped the result
Build around a real learning operation
The platform is shaped by the needs of an operating tutoring initiative rather than by a fictional product brief.
Ground AI in structured knowledge
Retrieval and authoring workflows are designed around maintained learning content rather than an unbounded general-purpose chat experience.
04Product evidence
Selected interface views
Captured from the deployed product. Authenticated screens are shown only in privacy-safe states.
05Technical footprint
Stack in context
- Next.js 16
- TypeScript
- Drizzle
- Turso
- Cloudflare R2
- Vectorize
- Gemini
- MCP
- Founder & CEO
- Retrieval-backed tutoring
- Structured authoring pipeline