Educational Tools
Kliv is an AI app builder. Describe your flashcard and spaced repetition app — decks, exam dates, review queues, leech lists, and paid access — and it builds the app on your own domain.
Just enter your idea into the text box and AI will build it for you
Kliv isn’t a fixed study app or a deck marketplace — it’s an AI that builds software for you.
You describe the app you need in your own words, and Kliv builds it: the data, the scheduling logic, the screens, the store, and the access rules. What you get is a real web app that’s yours, on your own domain, and you can change it later by asking. It isn’t a study template with your cards imported.
On this page, that app is a spaced-repetition study product. Kliv builds all kinds of web apps; this page focuses on cards, review schedules, exam dates, leech repair, purchases, and subscriptions.
A tutor or educator may need more than cards and intervals. Decks can be products, review schedules can account for a hard exam date, and difficult cards can feed an author’s repair list.
Kliv builds those parts together. Sales unlock decks, review queues read ownership, leech cards point back to the author, and updates can reach the learners who bought the deck.
Spaced repetition is records about cards, learners, and due dates.
Each card can store front, back, drug class, and source note. If a guideline changes, the author can find the cards that cite it.
Each learner can have an interval per card, recomputed as they answer. Different learners can see the same card due on different days.
A deadline can change the review queue, with tighter review in the final weeks before the exam.
A card missed five times can surface to the author, ranked by how many learners are struggling with it.
A deck can be a catalog bundle with a price and version. Ownership is a purchase record that the queue and updates read.
Here’s how one study business might use it. It’s only an example — you would describe your own subject, cards, schedule rules, prices, and updates.
Dalia buys Ezra’s cardiology bundle for $64. The purchase record unlocks the deck and adds those cards to her review queue.
Dalia misses the amiodarone half-life card again, and other learners do too. After five misses, the card appears on Ezra’s leech list.
Ezra rewrites the mnemonic and publishes a deck update. People who own the deck get the updated card without buying again.
Three weeks before Dalia’s NAPLEX date, the scheduler gives weaker topics more attention and shortens the review spacing.
On exam morning, Ezra’s rule keeps new reviews from appearing, because he wants learners resting instead of cramming.
Kliv builds from your description, so the more detail you give, the closer the first version. Include deck prices, schedules, exam rules, ownership, updates, and author dashboards. Here are three to build on:
Deck bundles that unlock immediately.
“Build a pharmacy licensing flashcard app. Sell the cardiology deck as a $64 one-time bundle, unlock the deck immediately after purchase, keep a purchase record for each owner, and publish corrected cards to all owners without another purchase.”
Review intervals that account for the deadline.
“Build a spaced-repetition scheduler with one interval per learner per card. Each learner should enter an exam date, the queue should tighten during the final three weeks, and exam morning should show no new due cards unless the learner asks for optional review.”
An author queue for weak cards.
“Add an author dashboard where cards missed five or more times across all learners appear for rewriting, ranked by number of affected learners, with filters by deck, chapter, and source note.”
A study product can sell both one-time bundles and subscriptions. Ezra’s example uses a $64 bundle a student keeps and a $41 monthly all-access plan that opens every deck while it runs. Both can check out on Ezra’s own Stripe account.
Deck updates use ownership records. When a corrected card is published, the app can find every owner and update the card in place.
Analytics can answer author questions: which deck sells, where learners stall, and which chapter’s cards get abandoned.
Flashcards can grow into courses with lectures, syllabi, and certificates. Teaching at course scale covers that wider path.
Kliv is an AI that builds custom web apps from a description. For spaced repetition, it can build cards, schedules, learner accounts, deck sales, subscriptions, updates, and dashboards.
A real app. Your card fields, scheduling rules, deck products, ownership rules, and author tools are built for your teaching business.
Yes. You can change scheduling rules, add decks, alter prices, add import fields, or change the author dashboard later.
Not if they bought a one-time bundle. A purchase record can outlive the subscription; cancelling closes only the all-access shelf.
Yes. You can upload or paste existing cards and describe the fields you need.
Decks can sit behind sign-in instead of being handed out as files. A determined person can still copy what they can read, but they do not copy the scheduler, updates, or repair loop.
No. The example is pharmacology, but the same structure can work for law, languages, aviation checklists, and other subjects.
No. Learners pay by card. Payments run through your Stripe account.
No. Kliv does not take a payment cut. Card fees are between you and Stripe.
Yes. The app can run on your own domain.
Yes. Public pages are prerendered and readable to search engines, with a sitemap generated for the site.
Yes. The code syncs to your own Git repository, so leaving is a git pull, not a rebuild.
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Describe your cards, exam rules, deck prices, subscriptions, and author workflow in detail. Kliv builds the app from those requirements.