How much should you use AI on note? A collection of articles on keeping your own words and judgment

AI is very useful when writing on note.

It can help with various tasks such as brainstorming titles, organizing text, checking for omissions, and analyzing article data. On the other hand, if you rely on it too much, you may spend less time thinking for yourself, and your writing may lose its personality and sense of experience.

The important thing is not whether to use AI or not.

What to leave to AI, and what to keep for yourself.

I actively use AI for organizing, comparing, and brainstorming, but I value thinking about the purpose of the article, my actual experiences, my judgments, and my final arguments myself, and writing them in my own words.

On this page, I have summarized by theme the scope of AI usage on note, how to keep your writing authentic, how to verify AI instructions and responses, and how to utilize AI for article creation and analysis.

I hope this serves as a reference for using AI conveniently without letting go of your own words and judgment.

If you want to read something first, start with
Thinking for yourself even when using AI: Don't rely on it too much

AI is not just a tool for getting answers on your behalf.

You can also deepen your thinking by using it as a sounding board to expand your ideas or gain different perspectives. Here, I have summarized the basic approach to engaging with AI so that you don't rely on it too much and continue to think for yourself.

[My Conclusion] The correct answer is not to have AI provide the answers, but to use AI to "think" for yourself.

Instead of having AI give you the correct answer in one go, convey your purpose and conditions, and deepen your own thinking while engaging in dialogue. This is how to use AI as a sounding board to preserve your thinking skills and individuality on note.

Does using AI lower brain activity? Decoding the MIT paper

The Massachusetts Institute of Technology (MIT) has published a paper on an experiment where they measured brain waves while humans solved tests that required thinking skills, finding that the group that used ChatGPT during the test had lower brain activity than the other groups.

This paper was published because they "feared the birth of a 'GPT Kindergarten' in the near future," and as a parent myself, I want to think about this thoroughly.

A sneak peek at the theme that comes after "how to use AI"

As AI becomes more convenient, it becomes increasingly important to determine how much humans should be involved in decision-making and who is responsible when mistakes occur. To avoid relying too much on AI, I have organized the upcoming points of discussion.

How much should you use AI on note? | Disclosure and Trust

Using AI to write articles is not inherently bad.

However, what readers care about is not so much whether AI was used, but rather how much of the process was delegated to it, and whether there is a reliable basis for the facts and experiences presented. Here, I consider the disclosure of AI usage, how readers perceive it, and issues regarding personal information and safety.

【AI】Will you be disliked on note if you write with generative AI?

【AI】To what extent can you use generative AI before being disliked on note?

"Oh, it's an AI-generated article."
We sometimes think that, but how much AI usage is acceptable?
I have analyzed this by pattern, looking at factors such as the target audience and the theme of the article.

【Check Now】Free personal AI services will learn your personal information unless you change the settings

Free personal AI services sometimes have a default setting where the content you input is used for AI training. There have been cases where data, including previously recorded personal information, became visible to third parties due to security flaws. Even if the service provider has no malicious intent, there is a risk that third parties could misuse it, so a cautious approach is recommended.

Your own words, personality, and handmade notes

If you have AI learn your past writing, you can get it to approximate your personal style.

However, what AI reproduces is the tendency of the writing, not the person's actual experience or emotions themselves. Here, I have summarized ways to keep your own words, personality, and primary information—your real-life experiences—in your articles while still using AI.

【Text Generation AI】No matter how much you train it on your own writing, your "personality" will degrade

Even if you have AI learn your past articles, what is reproduced is the "tendency" of your writing style, not your personality itself. I explain the danger that the more you repeat generation, the more sharp expressions fade and the writing becomes homogenized.

AI-generated text vs. human-written text

What matters is not just whether the text was created by AI or a human. It is about how you choose between AI and your own words depending on your purpose—whether you want to convey information accurately or move someone's heart.

[Fear] The reason I write 365 consecutive days of note posts by hand instead of using AI generation

You can efficiently mass-produce articles using AI. Even so, I write them myself because I want to preserve my experiences and thoughts in my own words. I discuss the reason for writing note as a "proof of life," being conscious of the finiteness of life.

By the way, what ever happened to the AI learning compensation program?

As AI-polished text increases, the value of experiences, failures, and reflections that only a specific person can write becomes higher. Using the AI learning compensation program as a starting point, I organize the strengths of primary information that handmade notes leave behind.

Survival strategies for handmade notes, learned from a local cake shop

Just because something is handmade doesn't necessarily mean it has value. This is a survival strategy for "handmade notes" that leverages AI to reduce the burden while cultivating experiences, a worldview, and relationships with readers that only you can write about.

AI instructions, requirements definition, and brainstorming

When you don't get the answers you expected from AI, it is often not the AI's performance, but rather that your request was vague.

When you organize your purpose, prerequisites, target audience, and the finished image, your interactions with AI change significantly. Here, I summarize methods for using AI as an assistant for thinking, such as defining requirements, brainstorming, and generating counterarguments.

The reason you get annoyed with AI: The true nature of insufficient requirements definition

If you make vague requests to AI, the answers you get back will also be vague. This is a way of thinking about defining your purpose, prerequisites, and the required level of completion at the start to get closer to the desired answer without having to redo things multiple times.

How to use AI as an antithesis

Utilizing AI is not just about adopting its suggestions. I introduce a method to update your own thinking and expression by using drafts generated from past articles as an antithesis, and then changing the structure and conclusions.

How to use generative AI to complement your weaknesses

Instead of having AI rewrite your text as is, use it to convert your writing into different expressions to discover your own weaknesses. This is a practical example of using AI to improve readability while writing the final draft yourself.

A story about how I was able to quit something I couldn't quit after consulting with AI

AI not only provides correct answers but also acts as a sounding board to help separate your emotions from logic. This is a record of a decision-making process where I re-examined the reasons for maintaining something and was able to let go of an unnecessary website.

Doubting and verifying AI responses

AI can create natural and persuasive text. Furthermore, it has become capable of creating not just text and images, but even the appearance that 'many people support' a certain situation.

That is precisely why it is important not to blindly trust AI responses or information spreading in the world, but to check the original information, the surrounding context, and opposing opinions. Here, I have summarized judgment skills in the AI era and methods for verifying evidence and primary sources.

What is Alien Intelligence? Thinking about judgment in the AI era from 'NEXUS'

AI is not a human who is slightly smarter than other humans, but an 'alien intelligence' that is different from humans. I have organized a way of thinking that encourages you to pause before making important decisions, rather than easily believing plausible answers or manufactured majorities.

Fact check! Is that information correct?

AI can turn even incorrect information into natural and persuasive text. This is a collection of fact-checking articles for verifying primary sources and evidence instead of blindly trusting generative AI or common internet myths.

Is it true that 30% to 40% of a business person's work is 'searching' for files and the like?

Even if AI answers that 'it has been confirmed by multiple studies,' that information is not necessarily correct. This is a practical example of fact-checking where I investigate the source of widely used figures and confirm the definitions of words and the evidence behind them.

Using AI for note creation, editing, and analysis

AI can be used for more than just having it write entire articles.

There are ways to get help with tasks like brainstorming titles, organizing structures, improving text, and analyzing article data while still retaining your own judgment. Here, I have summarized specific ways to use AI in note creation, editing, and analysis.

How to train AI to make your note titles god-tier (I actually didn't want to share this)

To improve AI responses, it is important to provide excellent knowledge and criteria. This is a practical guide on using best-selling copywriting techniques as a template to improve your note title ideas.

Generative AI utilization techniques, Systems Engineer style

AI can do more than just write text; it can also create programs to automate tedious tasks. This is a practical example of building a system that automatically aggregates daily note 'like' notifications by clearly communicating objectives and conditions.

How much note analysis can you do with just a smartphone? Finding 'articles that get read' by showing screenshots to AI

Have AI turn smartphone screenshots into a table of article titles, views, and likes. It is not about perfect analysis, but rather a way to easily grasp the trends of your articles and think about themes for your next post.

After analyzing 442 note articles with AI, I realized that 'articles that get read' and 'articles that sell' are different

As the number of articles increases, you cannot decide on your next strategy based on views and likes alone. This is a practical example of using AI to analyze all your note article data and sales performance to organize the role of each article in terms of attracting customers, building trust, and generating revenue.

Related AI utilization summary

The content so far has focused on how to interact with AI when writing notes.

If you want to know more about specific generative AI use cases for work, career, and business improvement, please also see the related AI summary page. By using them according to your purpose, you can utilize AI more practically.

(4) "AI" Summary Page: Surprising ways to use it, salary and career advancement

For those who want to know more broadly how to utilize AI in their work and career. This is a comprehensive summary of AI articles covering surprising usage methods, changes in engineer roles, salary increases, points of caution, and more.

Just give it a try! Generative AI, there are ways to use it like this too! [Summary of usage methods]

The shortcut to making AI your own tool is to try it out first. From business automation to picture books, music, fortune-telling, and creating with children, I have collected surprising and fun ways to use generative AI.

Conclusion | Even if you use AI, you want to be the one writing

How much should you use AI?

I don't think there is a single correct answer to this question that applies to everyone or every article.

Getting help with research.
Organizing thoughts.
Getting a different perspective.
Improving titles and structure.
Entrusting tedious aggregation and analysis.

Through these ways of using it, things that couldn't be done before due to a lack of time or skills have become possible.

On the other hand, it is up to you to decide what you want to convey, which experiences to turn into articles, whether to adopt AI's answers, and to take responsibility for the published text.

Using AI and stopping thinking for yourself are not the same thing.

Rather, I want to value a way of engaging where I use AI as a sounding board to deepen my own thoughts and finally return to my own words.

It is not about leaving everything to AI because it is convenient, nor is it about insisting on doing everything by hand and taking it all on yourself.

Periodically review what you leave to AI and what you keep for yourself.

I hope the articles on this page will serve as material for you to think about your own distance from AI and your purpose for writing on note.

AI will continue to change. I think my own way of thinking and using it will also change, so I will update this page as new insights and articles are added.