Making good Anki cards is harder than it looks. Here is what works, what wastes time, and why many people now start from AI-generated drafts instead of blank cards.
Good Anki cards usually follow one rule: one fact per card. The prompt should be specific enough to have one clear answer, and the answer should be short enough to recall honestly instead of rereading in disguise. The hard part is usually not understanding the rule. It is turning real course material into enough cards without losing hours to setup.
| Card element | Good version | Bad version |
|---|---|---|
| Question | What does cortisol do to blood sugar? | Tell me about cortisol |
| Answer | Raises blood sugar by stimulating gluconeogenesis | A hormone involved in the stress response and metabolism (200 words) |
| Scope | One fact: the cortisol-blood sugar relationship | Everything about cortisol on one card |
Page design based on study habits around PDFs, papers, and class materials.
Anki itself is not the hard part. The hard part is making enough good cards. Writing hundreds of cards from a semester of material by hand takes longer than most students can spare, so the finished decks often end up either too small or overloaded.
A card is worth making when forgetting that fact would hurt you later. Maybe it costs you a point on an exam, maybe it breaks a clinical decision, maybe it leaves you blank in discussion. If a fact is not worth recalling under pressure, it is probably not worth drilling for weeks afterward.
Start with the source and mark only the ideas you would genuinely need to recall under pressure. Then split them down until each card asks one thing. If the front of the card can be answered in three different ways, or if the answer needs a paragraph to feel complete, the card is usually still too broad.
After that, cut anything you would never actually need to remember later. The goal is not to turn every sentence into a card. The goal is to build a deck you can still review honestly two weeks from now without drowning in trivia or compound prompts.
AI-generated cards are not magic, but they are often better than staring at a blank deck. If a tool can pull 200 first-draft cards from your PDF, you can spend your time trimming, rewriting, and merging instead of having to compose every card yourself. For many people, that shift is what makes the deck feel manageable at all.
Use AI to generate the first draft from your notes or PDF. Edit the cards that are too broad or test the wrong thing. Editing takes minutes; writing from scratch takes hours.
Enough to test every concept you'd be expected to apply. That's usually 20 to 60 for a dense chapter, not hundreds.
Each card should test exactly one thing. The less you cram onto a card, the more precisely you can remember it.
If the front can be answered in several different ways, or the back needs a paragraph before it feels complete, the card usually needs to be split. Broad cards feel efficient to write, but they are harder to review honestly.
Cards you make from your own source material usually encode the content more deeply than cards someone else made. But editing AI-generated cards from your own source gets close while taking far less time.
For material you need to retain for months or years, yes. For a single exam, a simpler flashcard app without that setup cost can make more sense.
