Case study
Learner Memory System
An AI tutor that builds an inspectable model of how you learn - and adapts to it.
- Role
- TODO: Learner Memory System: role and team size
- Year
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- Status
- Live
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Overview
Learner Memory System is an AI tutor built around a model of the person using it. Rather than treating each question in isolation, it keeps a structured, inspectable record of what a learner understands, where they are strong, and which misconceptions keep resurfacing.
That model is not a black box. Beliefs about the learner are timestamped as they form, the tutor's responses adapt as the model updates, and a dashboard shows those changes in real time next to the conversation.
Why I Built It
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The Approach
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Architecture
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Decisions & Tradeoffs
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Engineering Challenges
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Features
- Structured, inspectable learner model - understanding, strengths, and misconceptions
- Timestamped belief formation you can trace over time
- Tutor responses adapt as the model updates
- Dashboard visualizes model changes in real time, next to the chat
Tech Stack
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Results
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Lessons Learned
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Screenshots
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Contact
If you need an engineer who can own it end to end, from the interface to the infrastructure, let's talk.
Email me