Where This Workflow Comes From
A language learner who wanted better retention built a custom flashcard creation tool by describing what it should do to an AI model, then wired it into Anki for review scheduling. The result splits the job in two: a personal tool handles card creation, and open-source software that has been refined for years handles the timing. Most people pick one or the other and live with the compromise.
Why This Method Skips Translation
Translation-based cards teach your brain to recognize an English word attached to a foreign one, which is a different skill from understanding the foreign word. Every card here hides one target word and shows two things instead: a hint written in the target language and the full sentence the word came from. You reason your way to the meaning through context, the same way you would while reading. That reasoning is what makes the word stick.
Building a Custom Flashcard App by Describing It to AI
No code required. You describe the requirements to an AI model: paste target-language text, highlight words worth learning, generate contextual hints, track which words already have cards. The model writes the working code, and you get a tool shaped around your method in hours instead of months. The same trick works on Anki itself, where AI-generated styling gives the review side a look that matches the creation side.
Smart Features That Speed Up Card Creation
Four features do the work that otherwise eats your evening.
Auto-highlighting frequent words. Paste in target-language text and the app underlines the common, frequent words. Instead of scanning every line yourself and guessing what deserves a card, you look at what is already marked.
Color-coding by category. Underlined words carry different colors by category: proper nouns, places, and so on. Click one and you see its category, which is often enough of a clue to skip a lookup entirely.
Duplicate tracking. Flip a toggle and every sentence that already has a flashcard lights up. Cards you built last week stay built, and you stop rebuilding the same vocabulary from a text you have read twice.
AI-generated hints. Select a word inside its sentence and ask for a hint. The AI reads the surrounding sentence and writes an explanation in the target language, using related concepts rather than a translation.
How Flashcard Review Works Step by Step
Review runs the same five steps every time:
- Read the complete sentence with the target word blanked out.
- Try to recall the word from the hint and context.
- Read the AI-generated hint if you need it.
- Reveal the answer.
- Mark whether you remembered it, yes or no.
That final yes-or-no is the only input the scheduler needs. It is what tells the algorithm which cards are still shaky and which ones you own.
Syncing Custom Cards Into Anki for Spaced Repetition
One button push sends finished cards into Anki, which files them into a deck and takes over from there. Anki then decides when each card comes back: the ones you answer without hesitation might disappear for weeks, while the ones you fumble return tomorrow. That is spaced repetition, and the whole point of the timing is to catch you right as the memory starts to fade.
Why We Built It This Way: Custom Creation Plus Anki Review
Splitting creation from review means neither half is a compromise. Your own tool controls how cards look and how hints get written, which matters because hint style is personal. Anki’s scheduler, hardened across millions of learners, handles the part that is genuinely hard to build: an algorithm that adapts its timing to your answers. You get a system shaped to you without writing a scheduler from scratch.
Applying This Approach to Your Learning
Building your own tool works, but it costs you an evening of prompting and debugging before a single card exists, and every change to the method means going back into the code. The alternative is opening an app, writing the note, and having cards, quizzes, and a review schedule appear from what you wrote. That is what Fluxo does: spaces and topics to organize your own notes, AI-generated flashcards and quizzes built from those notes, and spaced-repetition scheduling that brings material back over time, with a companion mascot and streaks to keep review sessions from feeling like a chore. What it will not do is hand you a ready-made course or a library of shared decks, because the cards come from notes you wrote and nothing else. Write one note on today’s reading and see what comes out of it.