Notes that stick.
Field notes on spaced repetition, active recall, and learning that lasts. Clear guides, honest tool comparisons, and the science behind remembering, without the outsourcing.
How to make flashcards from a PDF without manually typing
Making flashcards from a PDF by hand is the chore that kills the deck, and generic PDF-to-Anki converters spit out flat cards you still have to flip. Here is how to turn a PDF into graded recall that is checked against the source and comes back on a schedule.
ReadHow to remember what you learn from podcasts
You finish a great episode feeling sharper and a week later cannot name a single idea from it. Here is why podcasts slip away, and how to turn what you hear into graded recall that comes back on a schedule.
ReadAI flashcard generators vs Anki: generated cards vs graded recall
AI flashcard generators make the cards in seconds; Anki schedules them for years. Neither checks whether you can actually recall the answer. Here is how an AI flashcard generator and Anki really compare, and the third option that grades what you remember.
ReadHow to turn your notes into flashcards with AI (and have them resurface on their own)
Turning notes into flashcards with AI is trivial now. Turning them into cards that actually stick is the part nobody automated. Here is how to pull the testable ideas from your notes, grade your recall instead of flipping a card, and keep the deck on a spaced schedule so it comes back before you forget.
ReadHow to build a personal curriculum with AI that actually sticks
AI can generate a study plan in seconds, but a topic list is not a curriculum and most of them rot in a week. Here is how to build a personal curriculum with AI that has sequence, retrieval, feedback, and spacing, so you finish it and remember it.
ReadFSRS vs SM-2: why the modern spaced-repetition algorithm beats the classic
SM-2 is the spaced-repetition algorithm from 1987 that ran Anki for decades. FSRS is the machine-learning model that replaced it, fit to more than 700 million real reviews. Here is how each one works, why FSRS schedules fewer reviews for the same retention, and when the difference actually matters.
ReadAnti-Agent vs Anki: an honest comparison
A direct, brand-aware comparison of Anti-Agent and Anki. They run the same FSRS scheduler, so the real choice is manual cards you flip and self-rate versus generated cards an AI grades. Here is where each one wins, and when to use both.
ReadNotebookLM has no spaced repetition. This alternative is built around it.
NotebookLM is great at chatting with your sources, but nothing comes back and nothing tests you. Here is a NotebookLM alternative with flashcards and spaced repetition, where your sources turn into graded recall that resurfaces on a schedule.
ReadAn AI Anki alternative that makes the cards and grades your answers
Anki is powerful, but you build every card and flip it yourself. Here is an AI alternative to Anki with automatic card generation that writes the cards from your notes and grades what you actually recall.
ReadWhy your notes don't stick
You read, you highlight, you file it away. A week later it's gone. Here is what is actually happening, and the small change that fixes it.
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Common questions
- What is Anti-Agent?
- Anti-Agent is an AI notebook where the pages teach you back. You write or import on any subject, and the page turns parts of itself into flashcards, AI dialogues, and exercises that return on a spaced-repetition schedule.
- How is it different from Anki or other flashcard apps?
- Most tools make you build cards in a separate app. Anti-Agent generates them from your own writing, grades your free-recall answers in your own words, and schedules reviews with FSRS, all inside the page where the idea was written.
- What does the blog cover?
- Spaced repetition science, active recall, learning-tool comparisons, memory techniques, and how to use AI to learn deeply instead of outsourcing your thinking.