Part 12: Anki in Practice — Workflows for Languages, School & Coding

From Features to Goals

Up to now this guide has taught Anki one feature at a time. That's the right way to learn a tool, but it's not how you actually use one. Nobody sits down thinking "today I'd like to exercise the cloze note type." They sit down thinking "I want to speak Spanish," or "I have a pharmacology exam in six weeks," or "I keep forgetting the git commands I use twice a month." This part reorganizes everything around those goals.

Here's the honest framing that runs through the whole part: Anki is a retention layer, not a learning method. It is superb at making sure things you've already understood don't fade. It is not where understanding happens in the first place. You learn grammar from lessons and conversation; you understand pharmacology from lectures and problem sets; you learn to code by building things. Anki's job is to make the durable, recall-worthy facts stick so that all that hard-won understanding doesn't quietly evaporate over the following months. Keep that division of labor in mind and Anki becomes a multiplier on your other study. Forget it, and you'll try to make Anki do a job it was never built for.

🧠 Mindset

You do not need to build the "perfect" deck before you start. Every experienced Anki user's deck is a little messy, full of cards they'd write better today. That's fine — a decent card reviewed daily beats a perfect card you never made. Start rough, learn from the cards that annoy you, and improve as you go. You're not behind; you just haven't built it yet.

Language Learning — Anki's Biggest Use Case

More people use Anki for languages than for anything else, and it's worth understanding why it fits so well. A language is thousands of small, arbitrary associations — this sound means that thing — and spaced repetition is purpose-built for exactly that kind of high-volume, low-logic memory. But there's a right way and a wrong way to build language cards, and the difference decides whether your deck helps you speak or just helps you pass vocabulary trivia.

Recognition and production: two directions

A word you can only recognize is half-learned. You want to understand it when you hear it (recognition: target word → your meaning) and produce it when you need it (production: your meaning → target word). The reversed note type from Part 3 handles this directly — one note, two cards, both directions. Production cards are harder and more valuable, because being able to summon a word on demand is what speaking actually requires.

Learn words in sentences, not bare lists

This is the single most important recommendation in this section. A card that says casa = house teaches you a label. A card built around "Vivo en una casa pequeña" ("I live in a small house") teaches you the word and how it behaves — its gender, its article, the shape of a real sentence it lives in. Sentence cards, especially cloze cards (Part 5) that blank out the target word in context, produce knowledge you can actually deploy in conversation. Bare word-pair lists produce knowledge that stays stuck in the flashcard and never makes it into your mouth.

⚠️ Important: Mine sentences from things you're actually reading, watching, or studying — not from a random frequency list. A word you met in context, in something you cared about, comes with a hook already attached. That's why decks built from your own input almost always outperform giant premade vocabulary dumps.

Add audio and images

Two media techniques from Part 9 pay off enormously in language decks:

Audio for pronunciation. A written word teaches you spelling, not sound. Attaching a native-speaker recording (or a text-to-speech clip) to each sentence trains your ear and your accent at the same time you learn the meaning. For many learners this is the difference between recognizing a word on paper and recognizing it when someone says it fast.
Images instead of translations. Where you can, pair the target word with a picture rather than an English gloss. A photo of an apple next to manzana builds a direct link between the concept and the foreign word, skipping the mental detour through English. This is slower to set up but produces more fluent, native-feeling recall.

Pace new words sustainably

The most common way to fail at a language deck is to add 100 new words in an excited first week and then drown in reviews for a month. Language vocabulary is a marathon. A sustainable pace — often 10 to 20 new cards a day — compounds astonishingly: 15 a day is over 5,000 cards a year, far more than most learners ever need for conversational fluency. Slow and daily beats fast and abandoned every single time. (We'll return to backlogs and burnout in Part 13.)

⚠️ Watch Out

Anki does not replace immersion, speaking practice, or real input. It complements them. If all you do is review flashcards, you'll build a large passive vocabulary and still freeze in a real conversation. Use Anki to lock in what you meet elsewhere — then go use it: read, watch, listen, and above all speak. The cards are the gym; the conversation is the game.

🎓 Pair Anki with Ray's courses

Anki is at its best sitting on top of a structured course that supplies the understanding and the vocabulary. Two companions live right here in Ray's House of Fun:

The full ESL programme (A1–C2, plus IELTS and Business tracks) — as you work through each level, build Anki decks from the vocabulary and example sentences you meet in the lessons. The course teaches and explains; Anki makes sure none of it slips away.
The Tagalog course over on Ray's House of Fun — same idea: learn the words and patterns in the lessons, then card the ones worth keeping. The course already has a words-learned and flashcard layer; Anki extends that into long-term, scheduled review.

Think of it as a two-layer system: the course is where you learn, Anki is where you retain.

School & Exams — Medicine, Law, Sciences

The other giant Anki community is students, especially in fact-dense fields: medicine, law, pharmacy, the sciences. These disciplines share a brutal feature — an enormous volume of terminology, definitions, mechanisms, and named facts that you're expected to have on instant recall, often months after you first met them. That's precisely the load Anki was built to carry.

What to card

High-yield facts and terminology. Drug names and their mechanisms, definitions of key terms, classifications, normal lab values, dates, formulas, named principles. Anything that is a discrete, testable fact is a natural card.
Definitions via cloze. Take a definition sentence and blank out the key term (or blank out the definition and leave the term) so you drill it from both sides. Cloze is ideal here because definitions are already sentence-shaped.
Diagrams and anatomy via Image Occlusion. This is the killer feature for visual fields. Drop in a diagram of the brachial plexus, a chemical pathway, or a map, hide the labels, and Anki quizzes you on each one. Medical students in particular lean on Image Occlusion heavily — it turns any labeled figure into a stack of cards in minutes (Part 5).

Tag by lecture and chapter

This is the workflow trick that pays off at exam time. As you make cards, tag each one by its source — lecture-07, chapter-12, cardio, midterm-2. Tags cost nothing while you're adding cards, but when a specific exam approaches, you can use Custom Study and the Browse search (Parts 7 and 10) to conjure a focused review session of exactly the material that exam covers — tag:cardio tag:midterm-2 — without disturbing your normal scheduling. Tagging as you go is far easier than trying to reconstruct where everything came from the night before the test.

About the big premade exam decks

For major standardized exams — the medical board decks are the famous example — enormous, well-crafted community decks exist with tens of thousands of cards. They can be a real head start, but two cautions from Parts 6 and 10 apply hard here. First, you must prune: no one needs all 30,000 cards, and cards someone else wrote in someone else's words are harder to remember than your own. Suspend or delete what your course doesn't cover. Second, you must sustain the pace you set — a giant deck added carelessly is the fastest route to the review avalanche we'll troubleshoot in Part 13. Treat a premade deck as raw material to trim, not a finished product to swallow whole.

⚠️ Watch Out

Anki is for retention, not understanding, and this matters more in school than anywhere. Memorizing that a drug blocks a receptor is worthless if you don't understand what that receptor does. And for problem-based subjects — physics, math, much of the sciences — recall is only part of the battle; you still have to do practice problems until the method is fluent. Card the facts; earn the understanding elsewhere. Anki that isn't backed by comprehension is just impressive-looking cramming.

Coding & Tech

Programmers use Anki too, and it's genuinely useful — as long as you're honest about what deserves a card. The trap in tech is that everything feels cardable, so people end up memorizing API details they could look up in two seconds, and the deck becomes a chore that teaches nothing worth knowing.

The one question that decides everything

Before you make a coding card, ask: do I benefit from recalling this instantly, or will I always just look it up? The distinction is everything.

Worth a card: the things you use often enough that breaking flow to look them up hurts — the shortcut you reach for a dozen times a day, the CLI command you always half-remember, the core syntax of a language you're learning, a concept or definition you'll be asked about in an interview.
Not worth a card: the exact signature of a library function you call once a month, obscure config flags, anything with good autocomplete or docs a keystroke away. Looking those up is faster than the review cost of keeping them fresh forever.

Format code properly and keep cards atomic

Put code in a real code block so it's readable and monospaced. On an Anki card the front and back are HTML, so you can use <pre><code> around a snippet:

<pre><code>git reset --hard HEAD~1</code></pre>

And keep every card atomic — one command, one concept, one shortcut per card (the Part 6 principle applies with full force here). A card that asks "list the five most common git commands" is a bad card: you'll fail it on the one you forgot and grade the whole thing wrong. Five separate cards, one per command, each schedule themselves independently and surface exactly the ones you're actually weak on.

Card the recall-worthy bit	Don't card (just look it up)
"Reset the working tree to the last commit" → `git reset --hard HEAD~1`	Every flag `git log` accepts
The keyboard shortcut to rename a symbol in your editor	The full parameter list of a rarely-used library call
"What is idempotency?" (an interview-worthy concept)	The exact wording of a specific error message
Core syntax of a language you're actively learning	Framework details that change every major version

⚠️ Watch Out

Understanding and building projects is primary; Anki drills only the recall-worthy bits on top. You do not learn to program by flashcarding syntax — you learn by writing code that does something and getting it wrong and fixing it. Anki keeps the vocabulary of your craft sharp so you spend less time interrupting real work to look things up. It is the sharpening stone, not the knife.

The General Study Loop

Strip away the subject and the same workflow appears every time. Whatever you're learning, the loop that makes Anki work looks like this:

graph LR A["📥 Capture note what's worth keeping"] --> B["💡 Understand learn it for real first"] B --> C["✂️ Make atomic cards one idea each"] C --> D["🔁 Review daily let FSRS schedule it"] D --> E["🧹 Prune leeches fix or delete bad cards"] E --> A

Capture. As you study, read, or work, note the things worth remembering — a sentence, a fact, a command. Don't card them yet; just collect.
Understand. Make sure you actually get it before you card it. Carding something you don't understand just schedules future confusion (Part 6).
Make atomic cards. Turn each captured item into the smallest clear card — one idea, testable, in your own words.
Review daily. Show up every day and let FSRS (Part 8) decide what you see. Consistency is the whole game — the subject of Part 13.
Prune leeches. Cards you keep failing are usually bad cards. Rewrite or delete them instead of grinding them forever. A clean deck stays a deck you'll keep using.

Notice the loop closes: pruning feeds back into capturing better next time. Over weeks this makes your deck sharper, not just bigger — which is exactly what keeps the daily habit sustainable.

🛠️ How To: Build a Starter Deck for Your Goal

What you'll do: Turn one real goal into a small, well-made starter deck of 15–25 cards that you can begin reviewing today — proving the whole workflow end to end before you scale it up.

Step by step

Pick exactly one goal. A language, a specific course or exam, or a tech topic. One. Resist the urge to build three decks at once — you'll finish none of them.
Choose the note types that fit. Language → Basic (and reversed) plus Cloze for sentences. School → Cloze for definitions and Image Occlusion for diagrams. Coding → Basic with a <pre><code> block, kept atomic. (See Parts 3 and 5.)
Make 15–25 atomic cards from material you've genuinely understood — real sentences you met, facts from a lecture, commands you actually use. One idea per card, in your own words.
Tag them as you go — by lecture, chapter, topic, or source. It's free now and invaluable at review time (Part 10).
Set a sustainable new-cards/day limit in the deck options — start modest, around 5–15 (Part 7). It's easier to raise later than to dig out from a pile.
Review every day. That's the finishing touch and the only step that actually matters long-term. A small deck reviewed daily beats a huge deck reviewed never.

💡 Tip

If you're not sure a card is good, imagine reviewing it half-asleep in three weeks. Will you know instantly what it wants, and can you answer in one clear thing? If yes, it's atomic. If you'd have to squint or answer with a paragraph, split it. Building the habit of asking this while you make cards saves you the pain of fixing leeches later.

Best Practices

✅ Do's

Build decks from your own material. Cards drawn from what you've actually read, heard, or studied stick far better than cards someone else wrote.
Learn vocabulary in sentences. Context gives words the hooks that bare pairs lack — and it teaches usage, not just labels.
Tag as you create. A quick tag now buys you effortless exam-time Custom Study later.
Card only the recall-worthy. For coding especially, if you'll always look it up, don't card it.
Let Anki be the retention layer. Pair it with real courses, immersion, and practice — including Ray's ESL and Tagalog courses for languages.

❌ Don'ts

Don't dump a giant premade deck unpruned. Trim it to what you need or it becomes the review avalanche of Part 13.
Don't mistake flashcards for the whole method. Anki retains; it doesn't teach understanding or fluency by itself.
Don't front-load new cards. An excited first week of 100 new cards becomes a miserable month of reviews.
Don't make list cards. "Name all five" cards fail the atomic test and are ungradeable — split them.

💡 Pro Tips

For languages, one good sentence card can carry a word, its grammar, and its pronunciation all at once — that's three lessons in one review.
Image Occlusion turns any labeled diagram into a full study set in minutes — it's the highest-leverage tool for visual subjects.
Keep a running "capture" note somewhere (your phone, a text file) and batch-make cards later, so studying and card-making don't interrupt each other.

📓 Learning Journal

Keep a journal as you work through this guide — digital or paper. After each part, jot down:

Key ideas you learned
Things that clicked for you
Questions or confusion points to revisit
Ideas you want to try
Your progress and how you feel about it

✍️ This part's prompt: Name your one real goal — the actual language, course, exam, or tech topic you want Anki to help with. Now design its starter deck on paper: which note types will you use and why? What's your first day's worth of material? What new-cards/day pace can you honestly sustain? And crucially — where does the understanding come from that Anki will retain? Write it out; the next step is just building it.

📝 Part Summary

🎓 Key Takeaways

Anki is a retention layer, not a learning method — it locks in understanding you build elsewhere, across every subject.
Languages: learn words in sentences, use reversed cards for production, add audio and images, and pace new words sustainably. Pair it with real input and speaking — and with Ray's ESL and Tagalog courses.
School: card high-yield facts, use cloze for definitions and Image Occlusion for diagrams, tag by lecture/chapter for exam-time Custom Study, and prune any premade deck hard.
Coding: card only what's worth instant recall, format code and keep cards atomic — understanding and building projects come first.
Every subject runs the same loop: capture → understand → atomic cards → review daily → prune leeches.

🎉 What You Can Now Do

You can now take a real goal and turn it into a concrete Anki workflow — choosing the right note types, building cards the way that actually produces usable knowledge for that domain, tagging for later, and pacing yourself so the deck helps instead of overwhelming. You know where Anki's power ends and where lessons, practice, and immersion have to take over. That's the difference between owning a flashcard app and having a study system.

❓ Common Questions

Should I use a premade deck or make my own?

Make your own whenever you reasonably can — cards in your own words, from material you met, stick far better. Premade decks are worth it mainly for huge standardized exams where the volume is genuinely enormous, and even then you should prune them down to what your course covers and add pace slowly. A trimmed premade deck plus your own cards is often the sweet spot.

How many new cards a day should I add?

Start low — around 5 to 15 for most people, maybe up to 20 if you have real daily time. The number that matters is the one you can sustain every day for months, because reviews accumulate from the new cards you add. It's always easy to raise the limit later; digging out of a backlog you created by over-adding is much harder (that's Part 13).

Can Anki alone make me fluent in a language?

No, and it's important to be clear about this. Anki builds and maintains vocabulary and patterns beautifully, but fluency comes from real input and output — reading, listening, and especially speaking with people. Use Anki to retain what you learn in courses and immersion (like Ray's ESL and Tagalog courses), then go use the language. The cards feed your fluency; they don't replace it.

🔭 Up Next

In the final part, Building the Habit & Troubleshooting, we tackle the two things that actually determine whether Anki works for you long-term: keeping the daily habit alive (and recovering when it slips), and fixing the common problems — review avalanches, ease hell, leeches, sync conflicts, and more — with a problem-cause-fix troubleshooting table you can return to any time.

📚 Additional Resources

Ray's ESL programme — A1–C2 English plus IELTS & Business tracks; build Anki decks from its vocabulary
Ray's House of Fun — home of the Tagalog course and much more
The Anki Manual — the official reference for every feature mentioned here
Glossary — every term in plain language

🌟 Keep Going

You now know not just how Anki works, but how to aim it at something you actually care about. Build your small starter deck, review it tomorrow, and you've already crossed the line most people never do. One part left — let's make sure the habit sticks.

📖 Part 12: Anki in Practice — Workflows for Languages, School & Coding

📚 What You'll Learn

From Features to Goals

🧠 Mindset

Language Learning — Anki's Biggest Use Case

Recognition and production: two directions

Learn words in sentences, not bare lists

Add audio and images

Pace new words sustainably

⚠️ Watch Out

🎓 Pair Anki with Ray's courses

School & Exams — Medicine, Law, Sciences

What to card

Tag by lecture and chapter

About the big premade exam decks

⚠️ Watch Out

Coding & Tech

The one question that decides everything

Format code properly and keep cards atomic

⚠️ Watch Out

The General Study Loop

🛠️ How To: Build a Starter Deck for Your Goal

Step by step

Best Practices

✅ Do's

❌ Don'ts

💡 Pro Tips

📓 Learning Journal

📝 Part Summary

🎓 Key Takeaways

🎉 What You Can Now Do

❓ Common Questions

🔭 Up Next

📚 Additional Resources

🌟 Keep Going