An MVP that assembles a custom course around the learner
This project delivered a custom AI-powered MVP for personalized education. A user could select topics and learning sections of interest, and the platform would automatically assemble an individual course built around those choices.
It was not just a content generator. The product included a real user journey, assignment flow, AI guidance, and payments, which made it a live MVP for hypothesis testing with actual users.
How the learning flow worked
The generated course was structured as a real educational experience rather than a simple list of materials. The platform guided users step by step through the learning path and supported progression across multiple content formats.
- Theory modules generated around selected topics.
- Quizzes and questions embedded into the learning path.
- Step-by-step practical tasks for hands-on learning.
- Homework assignments as part of the full course structure.
Interactive AI support inside the course
The system was designed as more than a course generator. Users could ask AI questions in the context of the current lesson or assignment, upload results of completed work, and receive review, conclusions, and feedback directly inside the learning flow.
- Context-aware AI assistance tied to the current topic or task.
- Homework submission directly inside the platform.
- Automated review and feedback for completed assignments.
- Guided progression through the next steps of the educational flow.
A real user-facing MVP, not just an internal prototype
The product included payments and a full user-facing flow, which made it suitable for live hypothesis validation with real users.
Core MVP capabilities
The system combined content generation, instructional structure, learner interaction, and AI support into one coherent educational flow.
Product delivery scope
This was an MVP built for real use, with actual end-user interaction and a complete learning journey from course selection to payment and assignment review.
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