99% osób źle korzysta z AI — oto jak faktycznie uczę się i zapamiętuję szybciej

Oto praktyczny przewodnik, jak korzystać z Perplexity, NotebookLM i Gemini, aby czegokolwiek się nauczyć.

Nitin Sharma

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Bądźmy szczerzy, większość z nas tak naprawdę się nie "uczy", po prostu konsumujemy.

Przewijamy filmy, czytamy artykuły i dodajemy do zakładek, mając nadzieję, że coś nam się przyjmie. Ale gdy nadchodzi czas, by faktycznie wykorzystać to, co przeczytaliśmy, to znika.

To dlatego, że nauka dziś jest zepsuta.

Otaczają nas teraz więcej informacji niż kiedykolwiek (dzięki internetowi i sztucznej inteligencji), ale nie mamy procesu, by je przechowywać, łączyć czy stosować.

Czułem ten ból głęboko i to problem, którego doświadczamy wszyscy.

Pozwól, że podam mój przykład.

Jako programista i twórca treści nieustannie studiuję złożone idee i tematy – od modeli AI po projektowanie produktów i frameworki opowiadania historii.

Ale samo czytanie czy oglądanie filmów nie pomagało i zajmowało to zbyt dużo czasu. Jasne, zrozumiałam coś w danej chwili, a potem zapominałam o połowie po dniu.

Przestałem więc próbować "uczyć się szybciej" i zacząłem skupiać się na lepszym zapamiętywaniu i znalezieniu lepszego sposobu nauki. AI całkowicie zmieniło dla mnie zasady gry.

Z czasem stworzyłem kilka powtarzalnych workflowów, które pomagają mi robić trzy rzeczy bardzo dobrze.

Ten wpis analizuje te procesy AI za pomocą narzędzi takich jak Perplexity, NotebookLM i Gemini, dzięki czemu możesz szybciej się uczyć i faktycznie zapamiętywać to, czego się nauczysz, krok po kroku.

Uwaga: Ten wpis został pierwotnie opublikowany w moim newsletterze AI Made Simple.

Jeśli lubisz czytać tego typu praktyczne i informacyjne treści i chcesz otrzymywać moje najlepsze spostrzeżenia dotyczące AI prosto na swoją skrzynkę, rozważ subskrypcję. To jest za darmo.

Mając to na uwadze, zaczynajmy.

1. Ten workflow AI pomaga mi uczyć się 10 razy szybciej

Wiesz, jako autor treści spędzam godziny na przeglądaniu artykułów, filmów i prac naukowych, żeby dobrze zrozumieć jeden temat.

Ale oto skrót: używam Perplexity i NotebookLM, aby szybciej przesyłać wiedzę do mózgu.

Oto jak ja to robię:

Najpierw otwieram Perplexity i szukam najlepszych źródeł, takich jak blogi, filmy na YouTube, artykuły naukowe, a nawet książki o tym, czego się uczę (na przykład "jak szybko nauczyć się AI").

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Then, instead of reading each source manually, I take all the URLs that Perplexity gives me and paste them into NotebookLM by creating a new notebook.

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You may know, NotebookLM lets me upload multiple types of sources such as PDFs, website links, transcripts, text files, and more, all in one place. I usually go with the website link option and add everything there.

If you want to master NotebookLM and learn how to use it in your daily work, you can read this helpful post.

Now comes the magic part:

I ask NotebookLM specific questions like “Explain reinforcement learning like I’m 5” or “Summarize the key principles of deep learning from all these sources”.

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And it doesn’t stop there. I can instantly generate audio summaries, video overviews, mind maps, reports, and even quizzes from the same data.

The best part is that I can customize all of them. For example, I can ask it to create a short two-minute audio version, a YouTube-style explainer, or a quiz that tests my understanding.

To be honest, this single AI workflow saves me hours and maximizes my productivity to an insane level.

Quick context:

Everything I’ve shared here is something I actually use.

And if this post changed your perception about how you can use AI even a little, that didn’t happen in isolation. It came from a much bigger shift in how I use AI overall.

I wrote my entire system down inside “The (Unfair) AI Workflow Bundle” so I wouldn’t have to explain it one comment at a time.

It’s the exact set of workflows I use daily to run my work faster than feels normal, and if you apply even a few of them, you’ll save hundreds of hours.

So if you want to speed up your own process, you can check it out here.

2. Visualize your research and remember 3x more

When I’m deep into research, plain text usually isn’t enough, and it makes concepts hard to understand.

I often need something visual that helps me see the data and connect the dots faster.

But the problem is that most of us don’t know how to build reports or dashboards from scratch. That’s where AI makes things simple.

You can now research, analyze, and even build full visual dashboards without writing a single line of code.

Here’s how I do it: Let’s say I want to research a U.S. stock before investing, for example, NVIDIA Corp.

That’s where, I start with Perplexity and write a detailed prompt like this:

I want to research a US stock before investing a big amount. The stock is NVIDIA Corp.

Give me a clear, simple, and data-backed analysis covering:

a) What the company does and how it makes money.
b) Financial health — revenue, profit trend, debt, and cash flow.
c) Valuation — is it cheap or expensive vs competitors.
d) Growth drivers — what could make it grow in the next 3–5 years.
e) Risks — main reasons the stock could fall.
f) Recent news & earnings — anything important to know.
g) Final summary — would you consider this a Buy, Hold, or Avoid (based on data, not hype)?

Keep it short, structured, and beginner-friendly — no generic answers please.

Within seconds, Perplexity gives me a complete, structured analysis backed by real data and sources.

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Next, I copy that output and open Gemini, and use their Canvas feature.

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In short, Canvas is a creative workspace inside Gemini where you can generate documents, visuals, and even simple web apps using prompts and direct edits.

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Then I paste everything from Perplexity into Canvas and choose what I want to create, such as an infographic, a web page, or a dashboard.

And so, Gemini instantly turns that data into clean visuals.

For example, I asked it to make an infographic based on NVIDIA’s analysis, and it created one showing key financials, growth drivers, and risks in a simple, easy-to-digest layout.

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Looks insane, right?

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You see, we’re not just reading information, we’re now interacting with it, seeing it clearly, and remembering it faster.

And the best part? You can use the same approach to study AI trends, startup case studies, or even personal finance.

3. Learn anything deeply with Gemini’s “Guided Learning”

We often ask LLMs to “explain like I’m 5” when something feels too complex to understand.

And while that works for quick explanations, real learning happens when you engage, go deeper, and actually do something with the concept.

That’s where Gemini’s new feature “Guided Learning” changes everything.

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It works like a personal learning coach (or a personal tutor) that doesn’t just give direct answers but helps you truly understand a topic step by step.

More clearly, according to Google, Guided Learning provide you a step-by-step guide to help you build a deep understanding instead of just getting quick answers.

Let’s take an example.

Suppose I’m a student who wants to deeply understand a Physics topic like “Reflection and Refraction”.

That’s where, I simply go to Gemini, choose the Guided Learning feature, and write a prompt such as:

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In seconds, Gemini starts explaining the topic like a personal tutor with clear diagrams, real-life examples, and interactive steps that build one after another.

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As you can see, it can also include images, short videos, and quizzes to help you test what you’ve learned along the way.

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And the best part? Once you finish a topic, it even asks follow-up questions and suggests related concepts to explore next.

You see, you’re not just reading or learning faster.

You’re learning interactively, like having a smart AI tutor guiding you step by step.

So whether you’re trying to master Physics, understand AI, or pick up a new skill, Gemini’s Guided Learning helps you truly remember what you learn instead of reading it and forgetting it later.

Let’s wrap up

So far, you learned these three practical moves in this post:

• Use Perplexity and NotebookLM to collect, simplify, and save the best information so you don’t get lost in too many articles. Add your sources to a notebook, ask clear questions, and create short summaries, quizzes, or audio notes that are easy to learn what you need or review later.
• Turn text into visuals with tools like Gemini Canvas so concepts become memorable. Visuals make connections obvious and stick in your head far longer than complicated texts.
• Learn interactively with guided flows. Instead of one-off explanations, use the guided learning features that build concepts step by step and test you along the way.

And here are a couple of extra things worth knowing:

• If you want a single place that exposes many of Google’s AI capabilities, try Google’s AI Studio. It bundles a lot of Google AI features and can be a useful complement to the workflow above. Think of it as another powerful tool in your toolkit.
• Don’t try to use every tool. Use one workflow for a week, get comfortable, then add another tool only if it solves a real pain point.
• The fastest way to remember stuff is simple: organize the right inputs, force retrieval (quizzes, flash audio), and turn facts into something you can explain or show. AI just makes those steps much faster.

Hope you like it.

That’s it, thanks.

If you enjoyed this deep dive, you might find my latest project useful. I’ve spent hundreds of hours testing and breaking tools across the AI ecosystem to build The (Unfair) AI Workflow Bundle.

It’s the exact library of workflows I use daily to run my life and work efficiently. It’s not about working harder, but building systems that work for you. Feel free to check it out if you want to speed up your own process.

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