Product Design - 2026

AI · Neuroscience · Mobile App

Calibrate — Learn what you can actually explain.

A learning app that turns students’ own course material into active smart recall sessions, then uses every answer to understand what they actually know.

Rereading, summaries and multiple-choice questions can make information feel familiar without proving it can be recalled.

Calibrate asks a harder question: can you explain it without support?

I studied research in cognitive psychology and neuroscience to understand how memory, retrieval, self-explanation and confidence affect learning.

Those findings became product rules — shaping how Calibrate asks questions, reveals answers, evaluates understanding and decides what should be reviewed next.

Your courses, organised and ready to practise.

Import PDFs, photos, notes or text. Calibrate identifies the important concepts, turns them into question cards and organises each course for you.
AI-generated categories make sets easy to filter, while mastery shows where you currently stand.

One loop drives the entire experience.

Choose a card. Predict how confident you feel. Explain the answer from memory by speaking or typing. Then compare what you produced with what the course actually contains.

The answer stays hidden until the learner commits.

No multiple choice, no early hints and no answer to recognise.

The learner first has to retrieve the idea through a written or spoken explanation — only then can Calibrate reveal and evaluate it.

Every answer becomes a diagnosis, not just a score.

Calibrate compares the response with the original course, highlights what was correct, missing or too vague, and shows how the explanation could be improved.

Confidence and answer quality give each card a learning state —
from a blind spot or fragile understanding to something genuinely mastered.

Feedback only matters if it changes what happens next.

Each answer updates the card’s learning state, helping Calibrate identify what deserves attention next.

Learners can practise a single card or launch a Smart Review Session, focus only on weak spots, review the full set or customise the session around what they need.

Your course material

PDFs, notes, photos, text

PDF

Memory.pdf

Lecture notes

▧

Chapter 04

Calibrate

Learning loop

Questions

Explanations

AI feedback

Adaptive review

What happens next

States, review and progress

Fragile

Smart review→

Mastery72%

Calibrate connects personal course material, active retrieval, source-grounded AI feedback and adaptive review into one learning loop. You study your own course, practise it through questions and explanations, and every answer helps decide what should be reviewed next.

You study your own course ↔ You use the app to practice it

Designed as a product, not just a learning-science concept.

As a UX/UI Designer, cognitive science was only one part of the process. I worked across the product from user research and journey mapping to product architecture, AI behaviour, UX flows, interface design and the design system.

I then built a high-fidelity prototype to test the experience with users, identify what did not work and iterate on the product.

* The AI experience was also designed with realistic implementation in mind, with its feasibility reviewed alongside an AI engineer.

Download my CV

A learning app that turns students’ own course material into active smart recall sessions, then uses every answer to understand what they actually know.

Rereading, summaries and multiple-choice questions can make information feel familiar without proving it can be recalled.

Calibrate asks a harder question: can you explain it without support?

Your courses, organised and ready to practise.

Import PDFs, photos, notes or text. Calibrate identifies the important concepts, turns them into question cards and organises each course for you.
AI-generated categories make sets easy to filter, while mastery shows where you currently stand.

One loop drives the entire experience.

Choose a card. Predict how confident you feel. Explain the answer from memory by speaking or typing. Then compare what you produced with what the course actually contains.

The answer stays hidden until the learner commits.

No multiple choice, no early hints and no answer to recognise.

The learner first has to retrieve the idea through a written or spoken explanation — only then can Calibrate reveal and evaluate it.

Every answer becomes a diagnosis, not just a score.

Calibrate compares the response with the original course, highlights what was correct, missing or too vague, and shows how the explanation could be improved.

Confidence and answer quality give each card a learning state —
from a blind spot or fragile understanding to something genuinely mastered.

Calibrate connects personal course material, active retrieval, source-grounded AI feedback and adaptive review into one learning loop. You study your own course, practise it through questions and explanations, and every answer helps decide what should be reviewed next.

Designed as a product, not just a learning-science concept.

As a UX/UI Designer, cognitive science was only one part of the process. I worked across the product from user research and journey mapping to product architecture, AI behaviour, UX flows, interface design and the design system.

I then built a high-fidelity prototype to test the experience with users, identify what did not work and iterate on the product.

* The AI experience was also designed with realistic implementation in mind, with its feasibility reviewed alongside an AI engineer.

Jean-Baptiste Moriconi

UX UI Designer

Jean-Baptiste Moriconi

UX UI Designer

A learning app that turns students’ own course material into active smart recall sessions, then uses every answer to understand what they actually know.

Rereading, summaries and multiple-choice questions can make information feel familiar without proving it can be recalled. Calibrate asks a harder question: can you explain it without support?

Your courses, organised and ready to practise.Import PDFs, photos, notes or text. Calibrate identifies the important concepts, turns them into question cards and organises each course for you. AI-generated categories make sets easy to filter, while mastery shows where you currently stand.

One loop drives the entire experience.Choose a card. Predict how confident you feel. Explain the answer from memory by speaking or typing. Then compare what you produced with what the course actually contains.

The answer stays hidden until the learner commits.No multiple choice, no early hints and no answer to recognise. The learner first has to retrieve the idea through a written or spoken explanation — only then can Calibrate reveal and evaluate it.

Every answer becomes a diagnosis, not just a score.Calibrate compares the response with the original course, highlights what was correct, missing or too vague, and shows how the explanation could be improved.

Confidence and answer quality give each card a learning state — from a blind spot or fragile understanding to something genuinely mastered.

Calibrate connects personal course material, active retrieval, source-grounded AI feedback and adaptive review into one learning loop. You study your own course, practise it through questions and explanations, and every answer helps decide what should be reviewed next.

Designed as a product, not just a learning-science concept.As a UX/UI Designer, cognitive science was only one part of the process. I worked across the product from user research and journey mapping to product architecture, AI behaviour, UX flows, interface design and the design system.

I then built a high-fidelity prototype to test the experience with users, identify what did not work and iterate on the product.* The AI experience was also designed with realistic implementation in mind, with its feasibility reviewed alongside an AI engineer.

Jean-Baptiste Moriconi

UX UI Designer

Rereading, summaries and multiple-choice questions can make information feel familiar without proving it can be recalled.

Calibrate asks a harder question: can you explain it without support?

Your courses, organised and ready to practise.

Import PDFs, photos, notes or text. Calibrate identifies the important concepts, turns them into question cards and organises each course for you.
AI-generated categories make sets easy to filter, while mastery shows where you currently stand.

One loop drives the entire experience.

Choose a card. Predict how confident you feel. Explain the answer from memory by speaking or typing. Then compare what you produced with what the course actually contains.

The answer stays hidden until the learner commits.

No multiple choice, no early hints and no answer to recognise.

The learner first has to retrieve the idea through a written or spoken explanation — only then can Calibrate reveal and evaluate it.

Every answer becomes a diagnosis, not just a score.

Calibrate compares the response with the original course, highlights what was correct, missing or too vague, and shows how the explanation could be improved.

Confidence and answer quality give each card a learning state —
from a blind spot or fragile understanding to something genuinely mastered.

Designed as a product, not just a learning-science concept.

As a UX/UI Designer, cognitive science was only one part of the process. I worked across the product from user research and journey mapping to product architecture, AI behaviour, UX flows, interface design and the design system.

I then built a high-fidelity prototype to test the experience with users, identify what did not work and iterate on the product.

* The AI experience was also designed with realistic implementation in mind, with its feasibility reviewed alongside an AI engineer.