Articles
Guides to every feature, the ideas behind the Tiwtor method, and what's inside each collection. Written by us, for people who like to know how things work.
Features
0/7Every feature in depth — each exercise type, the learning loop, and making the app yours.
The Tiwtor method — the loop
How the pieces fit together: learn phrases, drill them, hear them, say them. The daily loop that makes it stick.
Guide: flashcards
Rating honestly, what Again/Good/Easy actually do, and why the queue looks the way it does.
Guide: listening exercises
Hide the text, slow it down, loop it. Getting comprehension out of conversations built from your phrases.
Guide: monologues
Speaking practice without a partner: shadowing, recording, and building fluency out loud.
Guide: reading
Brain-soaking with graded texts: how to read above your level without drowning.
Customising Tiwtor — dialects
Gog or Hwntw? Tuning Tiwtor to the Welsh you actually want to speak.
Creating your own exercises
Turn any phrase list into flashcards, conversations and monologues of your own.
Collections
0/5What each collection covers, who it's for, and how to get the most out of it.
Course: Cymraeg byw (free!)
The flagship free course — everyday spoken Welsh, and why it’s the right place to start.
Course: Top 1000 Welsh words
The high-frequency core of the language, in the order you’ll actually meet it.
Course: Top 100 Welsh verbs
The verbs that carry most conversations, with the forms you’ll really hear.
Course: Adversarial Welsh
The confusables, false friends and near-misses that trip learners up — drilled head-to-head.
Course: Grammar deep dive
Mutations, prepositions and the bits coursebooks rush — for when you want to know why.
Concepts & behind the scenes
0/4The ideas that inform the Tiwtor method, and honest notes on how we build.
SRS, FSRS, spaced repetition — the ideas behind Tiwtor
The forgetting curve, why reviews are spaced the way they are, and what FSRS adds. The core concepts behind the method.
How did we create the courses?
Where the phrase lists come from, who checks them, and how a course goes from idea to app.
How do we use AI?
Exactly where AI sits in the pipeline, where humans sit, and what we do when it gets Welsh wrong.
What do you mean, beta? Alpha? Early access?
What those labels mean at Tiwtor, what’s solid, what’s rough, and what it costs you (nothing, mostly).