Curriculum
30 grapes · 53 terms
A structured reference for the varieties, regions, and labels in the study scope.
Back to work
Live, open source
Learning product
Decant
A syllabus-grounded WSET Level 2 study companion that turns a dense curriculum into focused practice.
- Role
- Product design · Engineering
- Platform
- Responsive web
- Stack
- Next.js 16 · React 19 · TypeScript · Tailwind CSS 4
- Status
- Live, open source
Problem
A weighted exam syllabus is easier to pass when its structure is visible.
The source material is credible but dense. Learners need to move between grape profiles, regions, label language, climate effects, and recall practice without losing sight of what the exam actually emphasizes.
Decant reorganizes that material around the decisions a learner makes: understand, compare, retrieve, and test.
Product decisions
Ground every fact, then make the learning loop fast enough to repeat.
The content model supports eight distinct study modes without turning each one into a separate content silo. Facts remain traceable to the published syllabus, while quiz explanations reinforce the model instead of merely scoring an answer.
The app is fully static and stores progress in the browser. There is no account, backend, or tracking layer between a learner and the next practice session.
Live outcome
A public, inspectable learning product—not a portfolio-only prototype.
The deployed build exposes all nine public routes and currently includes 30 grape varieties, 53 label terms, 150 quiz questions, and eight study modes. The MIT-licensed source is public so the implementation and content approach can be reviewed directly.
Verified proof
What the current build demonstrates.
Practice
150 questions
Timed and untimed quiz modes provide feedback and explain why an answer is correct.
Product shape
8 study modes
Learn, explore, decode, compare, drill, recall, profile, and quiz from one data model.
Product capture
Authentic interface, captured from the product.
