• Generated vs handmade

AI flashcards vs making your own: what you lose by not writing them

The strongest case against generated flashcards is that making a card is itself a learning act — deciding what's testable, phrasing the question, choosing what counts as the answer. Generate the deck and you skip that, arriving at a review queue without having done the thinking that usually accompanies building one. That argument is real and it's also incomplete, because the same students who make the point overwhelmingly end up with no deck at all: card-making is slow, it's the first thing dropped in a busy week, and a perfect deck you never built is worth nothing.

9 min readAI and learning

What card-making actually teaches

Three things, and they're worth naming precisely so you can decide whether you're losing them.

  • Selection. Deciding what's worth testing forces you to rank the material, which requires knowing what matters. This is the biggest of the three.
  • Reformulation. Turning a statement into a question requires understanding it — you can copy a sentence without comprehension, but you can't reliably turn it into a question with one answer.
  • Discrimination. Noticing that two items are confusable, and carding them together, comes from processing the material as a whole.

A generated deck supplies none of these unless you engage with the output. Which points at the actual answer: don't accept the deck, edit it. Culling and rewriting a generated deck exercises selection and reformulation directly, at maybe a fifth of the time cost of writing from scratch.

The honest comparison

HandmadeGenerated and acceptedGenerated and culled
Time per lecture45–90 minutes2 minutes10–15 minutes
Selection practiceFullNoneMost of it — you decide what stays
Reformulation practiceFullNonePartial — you rewrite the weak ones
Card qualityVariable; depends on your skillVariable; often list-shaped and duplicatedGood, because both passes filter
CoverageWhatever you had energy forEverything, including triviaEverything important
Probability you actually have a deck by week 8Low, honestlyHighHigh

That last row is the one that decides it in practice. The comparison isn't handmade versus generated; it's generated versus nothing, because the handmade deck for five modules across twelve weeks is a commitment most students don't sustain.

The cull is the technique

  1. 1

    Generate, then delete before you read carefully

    First pass is deletion only, at four seconds a card: anything with more than one answer, anything referencing the document, anything duplicated, anything you wouldn't care about forgetting. Expect to remove half to two thirds.

  2. 2

    Split every list-shaped survivor

    Any answer with commas in it becomes several cloze cards. This is where a mediocre deck becomes a good one, and it's genuine reformulation work.

  3. 3

    Rewrite the phrasing of anything you'd have asked differently

    If a question is technically fine but not how your course frames it, rewrite it. That judgement is exactly the selection skill the handmade route trains.

  4. 4

    Add the three or four questions no generator writes

    The application and failure questions — 'what happens if this step breaks', 'given this scenario, what follows'. Generators are weakest here and these are the highest-yield cards in the deck.

  5. 5

    Verify anything numerical against the source

    Specific values are where generation errors concentrate, and a wrong card learned confidently is worse than no card. This is why page-level citations matter — see AI flashcard quality.

When to write from scratch anyway

  • The twenty hardest cards in a module. For material you genuinely struggle with, the making is worth the time and the generated version won't capture why it's hard for you.
  • Anything where your course's framing is unusual. A generator works from the text; if your lecturer's treatment differs from the standard one, you'll notice and it won't.
  • Your own error log. Cards made from your mistakes are the highest-value cards you'll ever have, and nothing can generate them — see how to learn from mistakes.
  • Anything visual you should be able to draw. Redraw-from-memory cards have to be built by you.

Pre-made decks are a different question

Downloading a large shared deck for your subject is a third option and it has a distinct problem: it's someone else's course. A 20,000-card deck for a subject contains your syllabus plus a great deal that isn't, and the review time spent on material you'll never be examined on is real.

For standardised exams with a fixed syllabus — licensure tests especially — well-maintained shared decks are excellent and the argument reverses, because the syllabus genuinely is the same for everyone. For a university module taught by one lecturer with their own emphasis, a deck generated from your own slides tracks the exam far better. Thaxas vs Anki covers where each approach fits.

The evidence, such as it is

The generation effect — that self-produced material is better remembered than material you read — is well established, and it's the empirical basis for the handmade argument. It's a real effect and it's smaller than the effect of actually doing spaced retrieval at all.

So the ordering that follows from the evidence is: reviewing a generated deck beats not reviewing a handmade one, reviewing a culled deck beats reviewing an accepted one, and reviewing a handmade deck is best if you'll genuinely build and sustain it. Be honest about which of those you are, rather than choosing the theoretically optimal one and ending up in the first row of the table with no deck at all.

Common questions

Are AI-generated flashcards as good as ones you make yourself?

Not quite, if you accept them unedited — you skip the selection and reformulation work that makes card-writing itself a learning act. But generated and then culled hard recovers most of that at a fifth of the time, and the realistic alternative for most students is no deck at all.

Does making flashcards help you learn?

Yes, through three mechanisms: deciding what's testable forces you to rank the material, turning statements into questions requires understanding them, and noticing confusable pairs comes from processing the whole. Editing a generated deck exercises the first two directly.

How much of a generated deck should I delete?

Half to two thirds. If you're deleting less than a third you're being too generous, and the junk cards will bloat the queue until you abandon it. Decks die from unanswerable and duplicated cards far more often than from difficulty.

Should I use pre-made shared decks instead?

For standardised exams with a fixed syllabus, yes — well-maintained shared decks are excellent there. For a university module taught by one lecturer with their own emphasis, a deck generated from your own slides tracks what's examined far better than a 20,000-card general deck.

Which cards should I always write myself?

The twenty hardest in a module, anything where your course's framing differs from the standard treatment, cards made from your own marked errors, and anything visual you should be able to redraw. Generators are weakest exactly where the material is personal to your difficulties.

What kinds of cards do AI generators write badly?

Application and failure questions — 'given this scenario, what happens' and 'what if this step breaks'. Those require inventing a case rather than extracting a claim, and they're usually the highest-yield cards in a deck, so add three or four per topic yourself.

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