Self-understanding and the 3-tap assetization pattern in the age of AI
Many people still see ChatGPT and generative AI as convenient tools.
They use AI to write emails, summarize articles, draft documents, research topics, or generate ideas.
That is already useful.
But once AI becomes part of your daily thinking process, it stops being just a tool.
It becomes an external brain.
Not a brain that replaces your own.
Not something that decides your life for you.
Rather, AI becomes:
- an external working memory
- an information compression layer
- a thinking organizer
- an editor
- a comparison-table maker
- a document generator
- an execution-instruction writer
- a mirror for self-understanding
In other words, AI is not simply a box that gives answers.
It can become an external system that holds, organizes, and connects your thinking to real-world output.
That change is huge.
There are levels to “using AI”
Many people say they use ChatGPT.
But the depth of use differs greatly.
| Level | Usage | State |
|---|---|---|
| Lv1 | Asking simple questions | Q&A tool |
| Lv2 | Research and summaries | Search assistant |
| Lv3 | Emails, writing, documents | Productivity tool |
| Lv4 | Thinking support and decision compression | External working memory |
| Lv5 | Articles, landing pages, app improvements, Codex prompts | Output factory |
| Lv6 | Self-understanding, work, side projects, and life design | Life OS |
Many people are still around levels 1 to 3.
They ask ChatGPT questions.
They summarize papers.
They draft emails.
They use it as a better search assistant.
That is useful.
But at levels 5 and 6, the relationship changes.
You are no longer just asking AI questions.
You are redesigning your thinking, work, side projects, and daily life around AI.
What does it mean to use AI as an external brain?
Using AI as an external brain can look like this:
- You notice discomfort, friction, or an interesting idea in daily life.
- You speak it into your phone using voice input.
- AI holds and organizes it.
- AI turns it into labels, arguments, and structure.
- It becomes an article, document, email, checklist, or Codex instruction.
- The execution part is handed off to AI, a PC, or another tool.
- The result remains as an asset.
In this process, you do not need to hold everything in your head.
In fact, if you try to keep everything in your head, it often disappears.
“This could become an article.”
“This company structure feels broken.”
“This anime review connects to social systems.”
“This task is stuck because the requirements are undefined.”
“This app improvement could become a landing page flow.”
Thoughts like these disappear if they remain only in your head.
But if you speak them into AI, they do not disappear.
AI holds them, structures them, and turns them into something usable.
At that point, AI is no longer just a writing tool.
It is a temporary memory space, a classification engine, and a bridge between thought and output.
The 3-tap assetization pattern
I call this pattern “3-tap assetization.”
It means capturing a thought, discomfort, question, or angle in a few taps from your phone and turning it into an article, document, app improvement, landing page, email, or Codex prompt.
The important point is that the initial input does not need to be polished.
It can be messy.
You can simply say:
“This feels like AI is no longer just a tool. It is becoming part of my brain.”
Then AI can add:
- headings
- structure
- counterarguments
- reader-friendly phrasing
- article flow
- English translation
- SEO keywords
- social posts
- implementation prompts
The human role is not to do every step manually.
The human role is to notice the initial discomfort or angle.
Then, after AI organizes it, the human checks whether it feels correct.
Value is moving from execution to angles
Execution still matters.
But more and more execution can be automated or delegated.
Writing.
Translation.
Documentation.
Coding.
Comparison tables.
Checklists.
Email drafts.
SEO article drafts.
AI and automation are expanding what can be delegated.
As a result, the remaining human value shifts.
The important questions become:
- What do you notice?
- What do you turn into a question?
- What angle do you choose?
- Which information matters?
- Where is the AI output right or wrong?
- Where should the output flow next?
In the AI age, the strongest people are not simply those who know AI tools.
They are people who can hand their own discomfort, questions, and insights to AI and turn them into output.
P-type scattered thinking can become a source of assets
Using MBTI-like language, P-type people often think in expanding branches.
They notice many things.
They connect one topic to another.
They explore possibilities.
They may struggle to stick to one plan.
In older environments, this could become a weakness.
Thoughts expand.
The mind jumps to another topic.
The original insight disappears.
Planning stops before execution.
You feel like you thought a lot, but nothing remains.
With AI and voice input, this can be reversed.
If thoughts expand, you have more material.
If topics branch, you have more article ideas.
If you notice many problems, you have more questions.
If you cannot hold everything in your head, speak it into AI.
If execution feels heavy, externalize it into Codex prompts, documents, and checklists.
Scattered thinking becomes a supply chain for assets.
But there is one condition.
Do not leave ideas inside your head.
Get them out immediately.
Send them to your phone, voice input, AI, notes, or task list.
Then scattered thinking can become the entrance to asset creation.
AI also accelerates self-understanding
AI is not only useful for writing articles or documents.
It can also speed up self-understanding.
Instead of saying “I have a bad memory,” AI dialogue can break it down:
- short-term memory is weak
- rote memorization is hard
- structural understanding is strong
- meaning and background logic make knowledge stick
- thoughts are abundant but flow away if kept only in the head
- voice input plus AI turns those thoughts into output
This changes how you improve yourself.
You stop trying to fix everything through willpower.
If short-term memory is weak, use notes and task lists.
If rote memorization is weak, learn through structure and meaning.
If thoughts scatter, speak them into AI.
If execution stalls, turn ideas into documents, Codex prompts, emails, or checklists.
This is not just self-analysis.
It is operational improvement of the self.
AI is not your replacement. It is your extension.
AI does not replace your thinking.
AI can:
- compress information
- list arguments
- write text
- create structure
- compare options
- add counterarguments
- generate execution instructions
But the following remain human:
- the first discomfort
- what feels interesting
- what matters to you
- whether an output feels right
- where something feels wrong
- the final judgment
To use AI well, you need a human core.
AI is not the main brain.
It is an external brain.
AI handles memory, compression, editing, and execution support.
The human handles discomfort, values, judgment, and direction.
That division of labor is powerful.
Smartphone as command center, home PC as mothership
A modern individual creator can build a location-independent workflow.
The smartphone becomes the command center.
The home PC becomes the mothership.
AI and Codex become workers.
The flow looks like this:
- You notice something while lying down, walking, traveling, or working.
- You speak it into AI from your phone.
- AI turns it into an article, document, or instruction.
- The home PC or Codex executes it.
- You check the output later.
This means you no longer need to sit in front of a PC and force yourself to work.
Even while traveling, sitting in a cafe, or lying in bed, your thoughts can enter the asset pipeline.
This is not laziness.
It is designing the lowest-friction input path for your own brain.
The cost of externalizing too much
AI externalization is powerful, but it has risks.
If you outsource everything, your internal memory may become shallow.
You may spend less time searching, struggling, and encoding information yourself.
So the answer is not to let AI hold everything.
At the end, bring one compressed label back into your own mind.
Ask:
“What is the one sentence I should keep inside myself?”
Examples:
- AI is an external brain
- 3-tap assetization
- scattered P-type thinking can become material
- externalize execution, keep judgment
- smartphone as command center, home PC as mothership
- self-understanding is operational improvement
You do not need to memorize the entire article.
Keep the label.
If the label remains, the knowledge can be retrieved later.
Conclusion: the winning pattern in the AI age
The winning pattern in the AI age is not merely using AI.
It is integrating AI into your thinking and life workflow.
The pattern is:
- Notice discomfort or insight.
- Speak it out through voice input.
- Let AI organize and compress it.
- Check whether it feels right.
- Turn it into articles, documents, emails, or Codex prompts.
- Externalize execution.
- Leave output as an asset.
- Bring one compressed label back into your own mind.
This is not just efficiency.
It is a way to externalize your weaknesses and assetize your strengths.
Weak short-term memory is fine.
Poor rote memorization is fine.
Scattered thinking is fine.
Difficulty with forced planning is fine.
If you understand your own cognitive design and connect it to AI, smartphones, PCs, and notes, many weaknesses can be reversed.
AI is no longer just a convenient tool.
Used correctly, it becomes an external brain.
And a person with an external brain can turn thoughts that used to disappear into articles, documents, apps, businesses, and self-understanding.
That is one of the clearest winning patterns of the modern age.
References / 参考情報
Stanford HAI, AI Index Report 2025
https://hai.stanford.edu/ai-index/2025-ai-index-reportMcKinsey & Company, The State of AI: Global Survey 2025
https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-aiWorld Economic Forum, Future of Jobs Report 2025
https://www.weforum.org/publications/the-future-of-jobs-report-2025/McKinsey & Company, The State of AI: How organizations are rewiring to capture value
https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-how-organizations-are-rewiring-to-capture-value
