Auracle has one job after it teaches you something: make sure you can still remember it later.

It does that by making you recall new information several times before it counts as learned, then scheduling future reviews for as long as you keep studying.

The memory science behind Auracle

More than a century ago, Hermann Ebbinghaus showed that newly learned information tends to fade quickly at first, then more slowly over time. That pattern became known as the forgetting curve. A 2015 replication by Jaap Murre and Joeri Dros reproduced the broad shape of Ebbinghaus's original results.

The forgetting curve is not a universal countdown clock. How quickly you forget something depends on the material, the learner and what happens after learning. But it captures the problem a memory system has to solve: a correct answer now does not guarantee a correct answer tomorrow.

Two of the best-supported ways to fight that decay are retrieval practice and spaced practice. In a major review, Cepeda and colleagues analysed 317 experiments and found a strong benefit from spreading learning across time. The best spacing depended on how long the information needed to be retained. A 2013 review by Dunlosky and colleagues rated practice testing and distributed practice as the two highest-utility techniques among ten widely used study methods.

Retrieval matters too. In a 2008 study published in Science, Jeffrey Karpicke and Henry Roediger found that repeatedly retrieving learned vocabulary produced much better delayed recall than repeatedly studying it. Auracle combines those two ideas: make you retrieve the answer, then bring it back again after a gap.

Why Auracle asks you to remember a new card three times

Suppose Auracle teaches you that me gustaría means “I would like” in Spanish. Getting it right immediately afterwards is useful, but the answer may still be sitting in short-term memory.

So the card comes back. After the first successful recall, Auracle tests it again roughly a minute later. After the second, it returns roughly five minutes later. A third successful recall graduates it for review the next day.

Those gaps make each retrieval less dependent on the answer still being fresh in short-term memory. This is the same basic logic behind spaced retrieval: successful recall after a delay gives stronger evidence that the memory can survive outside the immediate learning moment.

What happens when you forget a card

Auracle lets you think for as long as you need. Hesitating does not fail a card, and an imperfect spoken attempt does not automatically wipe your progress.

When you genuinely do not know the answer, you say “pass please”. Auracle gives you the answer and resets that card's learning progress.

The card then goes through the learning sequence again. It needs three successful recalls before it can return to long-term review.

How reviews work after a card graduates

After graduation, the card comes back the next day. Remember it again and Auracle starts stretching the interval over days, weeks and eventually months.

Auracle uses established Anki-style learning steps and an SM-2-based spaced repetition algorithm for long-term scheduling. The interval grows as recall succeeds, so strong memories need less of your time while weaker ones return sooner. That follows the same evidence behind distributed practice: longer-term retention generally benefits from reviews being spread across time rather than massed together.

You do not have to decide which old material to revisit. Auracle keeps track of each card and brings it back when it is due.

So can Auracle guarantee retention?

Yes, as long as you keep completing the reviews Auracle schedules.

Before a normal new or forgotten card graduates, Auracle requires three successful recalls at increasing intervals. After graduation, it keeps scheduling future reviews. If you later forget the card and say “pass please”, it goes through the full learning sequence again.

If you stop using Auracle, it cannot maintain memories it never gets a chance to test. Keep up with your scheduled reviews and the system keeps checking what you know, extending intervals when recall is strong and relearning anything that slips.