How I Use Gemini, ChatGPT, and Notion to Turn Technical Tutorials into Organized Lab Notes

There was a time when I wanted to keep proper notes from every technical tutorial I watched, but in reality, it almost never happened.

The problem was simple: I stay busy with many other things, and writing notes manually from a video takes a lot of time. If a tutorial is showing commands in the terminal, then showing the output, then moving on to the next step, it becomes hard to pause every few seconds and write everything down properly.

Sometimes I would try to note the commands by hand. Sometimes I would take screenshots and think I would organize them later. Sometimes I would use OCR on screenshots. But all of that still felt manual, slow, and messy.

Then I found a workflow that made things much easier for me.

Now, instead of manually writing everything from a tutorial, I upload the full video to Gemini, ask it to extract the commands and outputs shown in the terminal, and then I use ChatGPT to organize that content into a clean Notion page.

It is not magic, and it still needs checking, but it saves me a huge amount of time.

Why I Started Doing This

The main reason was time.

When I am learning from a tutorial, especially something related to networking or cybersecurity, I want to focus on understanding what is happening. I do not want to spend all my energy trying to catch every command, every output, and every explanation line by line while the video keeps moving.

That was the biggest problem for me. I was learning things, but I was not documenting them properly.

And later, when I wanted to remember something, I often had to go back and rewatch the video. That is frustrating when you only need one command, one output, or one small explanation.

So I wanted a cleaner system.

What My Workflow Looks Like

My workflow is very simple.

First, I upload the full tutorial video to Gemini.

Then I give it a prompt telling it to copy all the commands and the outputs shown in the terminal in that video. Most of the tutorials I use are on Kali Linux or related technical labs, where the instructor runs commands and shows the result directly on screen. Gemini can track that surprisingly well. If needed, it can also follow the audio and include the explanation too.

That part matters a lot, because before this, I had to either pause the video and type everything myself or take screenshots and later use OCR on them one by one. Doing that for a whole tutorial is tiring and takes too much time.

With Gemini, I can ask it to go through the video and track the commands and outputs frame by frame. That makes the process much easier.

After that, I copy the content Gemini gives me and bring it into ChatGPT.

Why ChatGPT? Because Gemini does not give me the direct Notion workflow I want. ChatGPT and Claude both connect more easily with Notion once the app is connected. So I create a page in Notion first, copy the Notion page link, then paste that link and the Gemini output into ChatGPT and tell it to write the content into that page.

That is the part that makes the whole process feel organized.

Why I Use Notion for This

I like Notion because it is much easier to organize everything there than in random text files or even Google Docs.

I usually create a main section, such as Ethical Hacking, and then under that I create a page using the exact topic name of the video. After that, I copy the page link and use it when sending the content to ChatGPT.

This gives me a clean structure.

Instead of having notes scattered in different places, I can keep everything in one organized system. Later, when I want to revise something, I can just open that specific page and review the commands, outputs, and explanations without watching the full video again.

That is one of the biggest advantages for me.

What This Actually Solves

The biggest thing this workflow solves is the manual hassle.

That is really the heart of it.

Before this, if I wanted good notes, I had to do one of these things:

• write commands and outputs manually while watching the video
• take screenshots and OCR them later
• organize everything by hand into notes

All of those methods work, but they cost time and energy.

This workflow feels cleaner and faster.

Now I can spend less time collecting the notes and more time understanding the material, revising it later, or moving on to the next thing I need to do.

Since I stay busy with many other tasks, that matters a lot.

One Important Detail: I Still Verify Everything

This part is important.

I do not blindly trust AI output.

I still manually verify the commands before saving them as final notes.

Sometimes Gemini does something that is not exactly wrong, but not exactly how I want it either. For example, it may summarize a command or give a shorter version instead of writing the exact command shown in the video. That might still be technically fine, but if I want my notes to match the tutorial exactly, I have to be more specific in my prompt.

So I learned that the prompt matters.

If I tell Gemini clearly that I want the exact command shown in the video and the output frame by frame, then the result becomes much closer to what I need.

The same thing applies when I send the content to ChatGPT. I often tell it how I want the notes formatted, because I want the final Notion page to look a certain way.

So in my case, AI is not replacing understanding. It is helping me capture and organize what I learned in a way that fits my system.

Why This Feels Useful Beyond Just Videos

What I like about this method is that it is not limited to one type of source.

I started with videos, especially tutorials related to networking and cybersecurity, but the same mindset can work with other material too. It can be a YouTube video, a PDF, audio, text, or something else.

The main idea is not just “use AI.”

The real idea is: once you understand the workflow, you can use AI to turn learning material into organized notes much faster than doing everything manually.

That opens up many possibilities for self-study.

How I Use the Notes Later

This is where the workflow becomes truly useful.

In my free time, when I want to revise or remember something, I just open the Notion page and look at the commands, outputs, and notes I saved there.

That means I do not always need to go back to the original video.

For me, that saves time twice.

First, it saves time when I am creating the notes.

Then it saves time again when I want to revise the topic later.

And because the notes are organized in my own structure, they are easier to understand when I come back to them.

Who This Can Help

I think this can help a lot of different people.

It is useful for busy learners, beginners, engineers, lab people, or really anyone who studies from tutorials and wants a better way to keep notes.

You do not have to use it only for cybersecurity or networking. That is just where I used it most.

What matters is knowing how to use the tools in a practical way.

Final Thoughts

This workflow gave me several things at once: relief, speed, less frustration, and a better way to remember what I learn.

That is why I wanted to write about it.

For me, the biggest benefit is not that AI writes notes for me. The biggest benefit is that it helps me stop losing useful information from tutorials I already spent time watching.

Instead of leaving that knowledge trapped inside a long video, I can turn it into something structured, searchable, and easier to revisit later.

And honestly, for someone who stays busy and still wants to keep learning, that makes a big difference.