[Tried ChatGPT 5.5] Conclusion: It's usable as a secondary tool, but the writing still feels like AI—AI infrastructure dependence is a business lifeline, and here is why Pos-tori protects itself with "multiple suppliers." Real-world testing of OpenAI's latest model, benchmark figures, and the geopolitics of platform dependency risk #ChatGPT #GenerativeAI #AIUtilization #Claude #Gemini #ChatGPTImages2.0 #nanobananapuro #MangaYouCanReadOnNote #DailyPost #DailyUpdate #PlatformDependency #Geopolitics #BusinessRisk #note #Essay
Hello, this is Pos-tori.
ChatGPT 5.5 has been released, so here are my thoughts and the results after trying it out.
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📌 [Today's News in 1 Minute]
▼ What happened
OpenAI in the United States announced a new AI on April 23, 2026 (today),"ChatGPT 5.5".
"It has become an AI capable of doing even more work than the previous version" is the company's explanation.
However, today's topic is not one that ends with "The new AI is amazing, isn't it?".
▼ Why is there a buzz?
Because the competition in the global AI industry is accelerating at an abnormal speed.
To use a familiar example, new smartphone models are released once every few years.
However, AI releases once every few weeks, and new models keep coming out.
Moreover, each one is announced as the "strongest in history."
And the prices are going up too. For this ChatGPT 5.5, the API cost is double that of the previous version.
In other words, the state of "being safe if you rely on the strongest AI" no longer exists.
To use a familiar example, it's like eggs at the supermarket increasing in price by 20% every month. If you are laid back and think, "I'll just buy them at the usual store," before you know it, your household budget will be ruined.
▼ Is this someone else's problem?
Are you not dependent on some AI or some platform for your work?
People who work using ChatGPT.
People who sell products on Amazon or Rakuten.
People who attract customers on Instagram.
People who release videos on YouTube.
People who are gathering followers on X (formerly Twitter).
If the "pillar of your business" relies on only one company's service, there is a possibility that your business could stop by the following week based on that company's decision.
"How many legs does your business stand on?"—This is a question you might need to rethink today.
▼ What this article covers
In this article, I will report on the actual test results of ChatGPT 5.5 in three chapters: prompt design, actual article writing, and hallucinations (AI lies).
Furthermore, I will dissect the geopolitics of platform dependency through other companies' case studies, Amazon-dependent e-commerce, Middle Eastern affairs, and Chinese rare earths.
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April 2026 is also drawing to a close.
Here in Toyama, in the Hokuriku region, it is the season of late spring, where the night air is still a bit chilly.
Looking out the window, the silhouette of the Tateyama Mountain Range was quietly emerging in a pale blue under the moonlight.
On my desk, a freshly brewed dark roast coffee.
As I wrapped both hands around the cup, the warmth slowly seeped into my palms.
Well then.
On such a quiet night, a DM arrived on my tablet from a reader that conveyed a sense of urgency.
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📨 [Question from a reader]
Pos-tori, I saw in the news that ChatGPT has become 5.5.
I use Claude as my main tool for work, but recently the plan prices have gone up a bit, and the response times have become slower,
honestly, I sometimes feel anxious thinking, 'What if I suddenly couldn't use Claude anymore?'
Is ChatGPT 5.5 at a level where it could replace Claude?
Also, I often hear the opinion from people doing AI-generated work that 'it's better not to rely on just one AI,' but in reality, I don't really understand how to properly use multiple AIs.
From a merchant's perspective, please teach me how to think about AI dependency risk.
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While reading the DM, I wrote down the words that caught my attention in my notebook.
"ChatGPT 5.5"
"If Claude becomes unusable"
"Price increase"
"Slow response"
"AI dependency risk"
"Using multiple AIs strategically"
All of these are the anxieties that peers around the world are facing at this very moment.
And this is not just about AI.
Amazon, Rakuten, Instagram, YouTube, X, note, and every other platform are experiencing the same structural anxiety.
Today, while honestly sharing the actual test results of ChatGPT 5.5, I will dissect the fear of "single-leg platform dependency" from the perspective of someone with 12 years of experience in business.
I will state the conclusion first:
If you narrow your suppliers down to one company, your business will end the day that company raises its prices.
This applies to procurement, sales channels, financing, AI, and everything else.
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💼 Author's Comment
Writing about this topic is also a challenge I am currently facing myself.
In fact, my current AI environment is in a rather delicate situation.
Claude Opus 4.7:Currently being adjusted, so output is unstable
Claude Opus 4.6:Operating as one of the main tools
Gemini Pro 3.1:Operating as a main tool since the past
ChatGPT 5.5:Subject of this test
In other words, I am currently in the process of "preparing to switch at any time" myself.
And today, as a new option, ChatGPT 5.5 has been officially released, so I wrote an article to conduct a hands-on test and verify it together with Pos-tori readers.
I will write honestly.
I will neither praise it highly nor disparage it.
I will provide decision-making material for merchants based on facts.
That is all.
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[Recommended for the following people]
1. Those who use AI for work but feel anxiety about relying on a single AI
2. Those who generate sales on platforms such as Amazon, Rakuten, Instagram, and YouTube but are not seriously considering the risk of account suspension
3. Those who want to know the true capability of ChatGPT 5.5 through actual test results rather than promotional articles
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[Article Preview]
① ChatGPT 5.5 Real-World Test ①—Prompt Design and How to Read "Benchmark Numbers"
② ChatGPT 5.5 Real-World Test ②—The Results of Having It Actually Write a Posu-dori Style Article
③ ChatGPT 5.5 Real-World Test ③—The Story of the 86% Hallucination Rate Independent Evaluation
④ Image Generation ChatGPT Images 2.0 is a "Main Candidate," Long-form Manga Production Test in Progress (Details to follow later)
⑤ The Genealogy of Cases That Collapsed Due to Single-Platform Reliance—Zynga, CartHook, Amazon-Dependent E-commerce
⑥ A 12-Year Merchant's Perspective—The Iron Rule of "Multiple Suppliers" Learned from Middle East Situations, Chinese Rare Earths, and Exchange Rate Fluctuations
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🌍 Introduction: What exactly is "ChatGPT 5.5"? Why is the AI industry buzzing right now?—Grasp the stage and history in 10 minutes
Before we dive into the main topic, there is something you should definitely grasp first.
"ChatGPT 5.5," "OpenAI," "Benchmark," "Hallucination"—I think those who can immediately answer what these mean are in the minority in Japan.
I myself am not an AI expert.
However, as a trade merchant for 12 years, I have thought every day about "how to choose tools and how to arrange them," and I also view how to choose AI as a "tool arrangement problem."
So, before we enter Chapter 1, let's first organize the stage and background as simply as possible.
🏛️ To begin with, what is OpenAI?
OpenAI is one of the world's most famous AI development companies.
Basic Information:
Founded: 2015 (co-founded by Elon Musk and others)
Headquarters: San Francisco, USA
Representative Product: ChatGPT (released in November 2022, reached 100 million users in 2 months. At the time, the fastest growth record in history)
Major Investor: Microsoft (invested a total of approximately $13 billion = approximately 2 trillion yen)
Latest Valuation: approximately $500 billion (approximately 80 trillion yen, as of 2025)
→ 80 trillion yen is a valuation that exceeds the market capitalization of Toyota Motor Corporation (approx. 50 trillion yen). A company founded just 10 years ago has grown to a scale comparable to the world's largest technology companies.
💻 What is ChatGPT 5.5?
ChatGPT 5.5 is the latest AI model announced by OpenAI on April 23, 2026.
To use a familiar example, imagine a new smartphone model. It's like "upgrading from an iPhone 15 to an iPhone 16."
However, in the world of AI, the speed of generational advancement is on a different scale.
Features of ChatGPT 5.5:
Capable of more complex tasks than the version from a few months ago (GPT-5.4)
Particularly strong at tasks like "writing code," "operating a PC," and "researching information"
However, the API cost is double that of the previous version (in exchange for higher performance)
📜 The Accelerated History of OpenAI and AI Models
From here, I will organize the accelerated history of OpenAI's AI models into five stages.
📅 Stage 1: 2018, Announcement of GPT-1
OpenAI announced its first language AI, "GPT-1". At the time, it was for researchers and had nothing to do with the general public.
📅 Stage 2: November 2022, Arrival of ChatGPT
OpenAI released ChatGPT to the public. It gained 100 million users in just two months. This became the "Year One of AI" for the entire world.
📅 Stage 3: 2023-2024, The Era of GPT-4
GPT-4, GPT-4 Turbo, GPT-4o, and other successive evolved versions appeared. During the same period, rivals such as Anthropic's Claude and Google's Gemini rose to prominence.
📅 Stage 4: 2025, The Arrival of the GPT-5 Series
With GPT-5, GPT-5.2, GPT-5.3, and GPT-5.4, there were four major updates in just one year. Competition accelerated at an abnormal speed.
📅 Stage 5: April 23, 2026, The Arrival of GPT-5.5
And today, GPT-5.5 has arrived. It is considered the first fully retrained base model since GPT-4.5, and has achieved significant performance improvements in coding, computer operation, and knowledge work.
🌐 Competitors: Claude, Gemini, and Others
Let's also organize the competitors to ChatGPT 5.5.
Anthropic's Claude Opus 4.7 (announced April 2026): In some areas of coding work, it surpasses ChatGPT
Google's Gemini Pro 3.1: Strong in academic reasoning
xAI's Grok(founded by Elon Musk):Integration with X (formerly Twitter) is its strength
China's DeepSeek, Qwen:Rapid growth through open source
In short, "AI companies around the world are releasing new models almost every month" is the current state of the AI industry.
🎯 Summary so far
I will compress what you just read into 3 lines:
① OpenAI is one of the world's largest AI companies (valuation approx. 80 trillion yen). ChatGPT 5.5 is the latest model announced on April 23, 2026.
② The AI industry is evolving at an abnormal speed. Every few months, a new model is announced as the "strongest in history."
③ Rival AIs like Claude, Gemini, and Grok are also powerful. The danger of "relying on just one" is increasing more and more.
With this, the understanding of the setting is complete.
From here, in Chapter 1, I will dive into the real-world test results of ChatGPT 5.5.
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🔬 Chapter 1: ChatGPT 5.5 Real-World Test ①—Prompt Design and How to Correctly Read "Benchmark Numbers"
The coffee has cooled down a little, and a faint acidity, hidden behind the deep bitterness, has finally made its appearance on my tongue.
From here on, I will report the actual test results of ChatGPT 5.5 in three chapters.
Chapter 1 covers "how to read benchmark figures" and "prompt design."
📊 Benchmark figures announced by OpenAI
First, let's organize the benchmark figures announced by OpenAI.
A benchmark is like a test to measure AI capabilities.
However, even if you are told "a benchmark of 82.7%," you don't really know what that means, right?.
To use a familiar example, imagine a sports day performance report.
If you are told "grip strength of 32kg," you cannot judge whether that is strong or weak or how it compares to others without more context.
Therefore, here I will list one by one what is being measured, the ChatGPT 5.5 score, the rival's score, and the verdict.
🥇 Test 1: Terminal-Bench 2.0
What is being measured: The black screen of a computer (command screen), the ability to complete complex tasks to the end.
A test of tasks that programmers usually do, such as "if it fails, fix it, try another method, and carry it through to the end."
In familiar terms, it is close to the ability to change plans while watching the pot in a kitchen setting.
Score
ChatGPT 5.5 82.7%
Claude Opus 4.7 69.4%
Gemini Pro 3.1 68.5%
→ Verdict: A landslide victory for ChatGPT 5.5.
It is winning by a margin of over 13 points over its rivals.
This means that for the purpose of "AI automatically completing complex tasks," it is currently in the top class.
🥈 Test 2: GDPval
What is being measured: 44 types of occupations (finance, law, consulting, design, etc.), actual work deliverables that AI can produce.
Determining whether the quality is "equal to or better than human experts."
In familiar terms, it is a test of whether it can perform "work at a level that gets paid for delivery," such as project proposals created by salespeople, contracts written by lawyers, or analysis reports created by consultants.
AI Score
ChatGPT 5.5 84.9%(Rate equal to or better than human experts)
Claude Opus 4.7 80.3%
Gemini Pro 3.1 67.3%
→ Verdict: ChatGPT 5.5 wins, but Claude is a close second.
The claim that it can "complete the work of 44 types of professional jobs at a level equal to or better than human experts with an 85% probability" is a quite shocking figure.
🥉 Test 3: OSWorld-Verified
What it measures:The AI's ability to operate a computer screen on behalf of a human.
Moving the mouse, opening files, searching in a browser, and using software to proceed with tasks, a test of overall "human office work".
In a familiar example, it is close to the ability of a new office staff member who, when told by their boss to "create this document," operates the PC themselves to complete it.
AI Score
ChatGPT 5.5 78.7%
Claude Opus 4.7 78.0%
Gemini Pro 3.1 No data
→ Verdict: ChatGPT 5.5 wins by a narrow margin (0.7 point difference)
It is in a state of being almost on par with Claude. The "era where AI can handle administrative tasks" is finally becoming a reality.
⚠️ Test 4: SWE-Bench Pro
What it measures: The ability of an AI to discover and fix bugs in actual programs (real software on GitHub) on its own.
This is the very work that professional programmers do on a daily basis.
To use a familiar example, it is close to the ability of an active mechanic to identify and fix engine trouble in a car they are seeing for the first time.
AI Score
ChatGPT 5.5 58.6%
Claude Opus 4.7 64.3%(Winner)
Gemini Pro 3.1 No data
→ Verdict: In this test, Claude wins (5.7 point difference).
For "actual on-site code correction," Claude Opus 4.7 is stronger than ChatGPT 5.5.
This demonstrates the important fact that "there is no single AI that is the strongest in all fields."
🎯 Test 5: Tau2-bench Telecom
What it measures:complex procedural tasks in customer supportand whether the AI can process them to completion.
A test of the workflow: "Listen to the customer -> Check the rules -> Perform necessary operations -> Proceed to the next branch -> Complete the process."
In a familiar example, this is close to the ability of a veteran call center operator to resolve complex customer inquiries according to the rules until the end.
AI Score
ChatGPT 5.5 98.0%
Competitor data
No fair comparison without prompt adjustment
→ Verdict: Nearly perfect score. For "procedural tasks" like customer support, it is at a level where it can handle them almost perfectly. AI-driven automation of call center operations is becoming a realistic option.
📋 Summary of the 5 tests
To summarize the 5 tests:
Complex PC tasks ChatGPT 5.5 (Overwhelming victory)
44 types of professional work ChatGPT 5.5 (Narrow margin)
PC screen operations ChatGPT 5.5 (almost tied)
Program bug fixes Claude Opus 4.7
Customer support ChatGPT 5.5 (almost perfect score)
→ In other words, ChatGPT 5.5 won 4 out of 5 battles.
However, in practical programming (SWE-Bench Pro), Claude is winning.
This is the current state of competition in the AI industry (as of April 23, 2026).
🎯 My testing policy
Based on these, the tests I actually conducted are as follows.
Test 1:
Pos-tori style article generation prompt v2.7 (the detailed ~60KB prompt for Claude that I usually use) was provided, and I had it actually write a Pos-tori style article
Test 2:
Fact-checking was requested, and I checked to see if hallucinations (false information) would occur
Test 3:
Requested image generation and diagram creation, and checked the capabilities in the image domain.
→ The results will be reported in detail in Chapters 2, 3, and 4.
High benchmark numbers and being able to write a Pos-tori article in one go are two different things.
If you confuse these, you will get swallowed by the AI industry's hype.
Answers reached without field verification will stumble in the field.
This is the same for the pharmaceutical industry, the medical field, and the AI industry.
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✅ Chapter 1 Summary
① The benchmark numbers for ChatGPT 5.5 are indeed strong
With Terminal-Bench at 82.7%, GDPval at 84.9%, etc., it outperforms Claude and Gemini in multiple areas. However, there are areas where Claude wins, such as SWE-Bench Pro.
② An "AI that is the strongest in all fields" no longer exists
The fields where ChatGPT 5.5 is strong, where Claude is strong, and where Gemini is strong are becoming clearly divided. Using them selectively based on the purpose is essential.
3. Pricing has increased to double that of the previous version
The API pricing for ChatGPT 5.5 is double that of GPT-5.4. The top-performance version, GPT-5.5 Pro, costs approximately 28,000 yen per 1 million output tokens. We are in an era where "if you want to use the strongest AI, you pay the strongest price."
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✍️ Chapter 2: ChatGPT 5.5 Real-World Test 2—I actually had it write a Pos-tori style article, conclusion: "It's too much of an honor student, the AI smell won't go away"
I've finished my coffee, so I'm switching to roasted green tea from here on.
As I poured hot water into the teapot, the fragrant aroma of the roasted tea leaves wafted up.
From here, I will honestly report the results of actually having ChatGPT 5.5 write a Pos-tori style article.
📝 Test Method
This time, I provided ChatGPT 5.5 with the following three items:
・Pos-tori style article generation prompt v2.7(approx. 60KB, a detailed prompt I spent a long time crafting)
・3 past Pos-tori articles(as reference articles)
・Article theme: "The First Year of Humanoid Robots—Tesla's Optimus Gen 3 reaches human-level dexterity"
In short, this is a test where I "provide all of Pos-tori's style guides and reference articles to have it write an article in the Pos-tori style."
✅ Pros: Strong adherence to templates
To start with the conclusion,
its ability to follow templates is quite strong.
The 4-block structure of [1-minute news summary]: ✅ Can follow perfectly
Placement of bold text: ✅ Almost accurate
Katakana supplements for English proper nouns: ✅ Can follow
Scale conversion (e.g., how many Tokyo Skytrees): ✅ Can do
Insertion of metaphors: ✅ Can do
DM introduction, seasonal descriptions, list of reference sites: ✅ Almost perfect
To use a familiar example, it's like a restaurant chain with a thick manual where a new staff member acts exactly according to the manual.
" Even if there are many rules, it executes them as instructed "—this ability is clearly stronger in ChatGPT 5.5.
⚠️ Cons: The writing is "too much of an honor student" and the AI-generated feel cannot be removed
However, this is where the real issue lies.
When you read an article written by ChatGPT 5.5, something feels off.
Specifically:
Problem 1: The writing is too polished
The Pos-tori writing style has a bit more grit. It has the raw feel of a merchant and the vibe of field notes.
But when ChatGPT 5.5 writes it, it becomes an honor student's explanatory text.
Problem 2: AI-sounding stock phrases appear
"This is important," "We should pay attention to future trends," "Let's look at this from multiple angles"—these kinds of AI-like conjunctions get mixed in.
Problem 3: The repetition of the same core phrase is weak
A characteristic of the Pos-tori style is repeating one core phrase 2-3 times in different contexts.
ChatGPT 5.5 has a habit of paraphrasing. It changes "work is reduced" to "part of the business process is substituted."
🍵 For example: The story of tea
To use a familiar example, please imagine tea.
Claude Opus 4.6(Current main):An authentic sencha with a balanced bitterness and umami
Gemini Pro 3.1(Main from the past):A deep, rich gyokuro
ChatGPT 5.5(Subject of this test):A mid-grade sencha that is clear but tastes a bit thin
ChatGPT 5.5 is not bad.
It is perfectly drinkable. The facts are also well-organized.
However, it still lacks a bit of the depth that makes you want to 'have another cup.'
This is a critically important part for delivering articles to Pos-tori readers every day.
💼 Merchant's perspective: Why the 'AI smell' in writing is fatal
Here, I will write from a merchant's perspective.
Note articles are products.
They are products that readers pay to read every day.
If the product is 'by the manual and tastes thin,' readers will leave.
This is similar to the difference between convenience store bento boxes and home-cooked meals.
Convenience store bento: Neat, safe, always the same taste, but you get tired of it
Home-cooked meals: Uneven, has rough edges, changes with the mood of the day, but unforgettable
Pos-tori articles aim to be home-cooked meals.
If those articles were mass-produced on a convenience store bento factory line, readers would leave.
Therefore, my conclusion is that ChatGPT 5.5 cannot be the main driver for writing at this point.
🎯 However, it is sufficient as a "secondary" tool
But please, do not misunderstand.
ChatGPT 5.5 is perfectly usable as a secondary tool for text generation.
Specifically:
Creating article outlines
Organizing reference sources
Improving the Pos-tori prompt itself
Creating a draft (70 points) and having a human add the rough edges
If you use it for this kind of "preparatory work," "assistance," or "insurance," it is quite strong.
The issue is not whether it is "usable," but whether it can be "used as a primary tool."
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✅ Chapter 2 Summary
① Adherence to templates has clearly improved
Its ability to follow complex rules—such as the 4-block structure of the [Today's News 1-Minute Summary], bold text, katakana supplements, and scale conversion—is clearly better than previous versions of ChatGPT.
② However, the writing is "too much of an honor student and still feels like AI"
It struggles to produce the "roughness" and "raw merchant-like feel" required for the Pos-tori writing style. AI-like stock phrases such as "This is important" or "Let's look at this from multiple angles" tend to creep in.
③ It is fully usable as a "secondary tool, not a primary one"
It is worth keeping as insurance for when Claude goes down, for tasks like drafting outlines, organizing reference sources, assisting with fact-checking, improving prompts, and creating rough drafts.
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⚠️ Chapter 3: ChatGPT 5.5 Hands-on Test ③—Independent evaluation results showing an 86% hallucination rate, and the problem of AI "confidently lying"
While topping up the hot water for my hojicha, I watched the rising steam for a moment.
From here on, I will talk about the most significant weakness of ChatGPT 5.5, which is
the issue of hallucinations.
This is a problem you absolutely must know about when using AI for business.
🚨 First of all, what is a "hallucination"?
Hallucination means "illusion" in English.
In the AI industry, it refers to the phenomenon where AI tells plausible-sounding lies.
To use a relatable example, imagine a new salesperson.
When asked a question by a customer about a product they don't know about, they should answer "I don't know", right?
However, a new hire who is weak under pressure might make up information they don't know and answer in a plausible way.
The most dangerous part is that this sounds confident to the customer.
"This salesperson is knowledgeable" I end up believing.
And then, later, it turns out to be incorrect information.
AI hallucination is exactly this.
Without saying "I don't know," it answers with plausible-sounding lies, full of confidence.
📊 Independent Evaluation: ChatGPT 5.5 Hallucination Rate is 86%
Here, I will share shocking numbers.
Artificial Analysis, an independent evaluation organization, conducted a test called AA-Omniscience, and the results are:
ChatGPT 5.5 hallucination rate: 86%
Claude Opus 4.7 hallucination rate: 36%
Gemini Pro 3.1 Preview hallucination rate: 50%
→ In other words, ChatGPT 5.5 is 2.4 times more likely than Claude and 1.7 times more likely than Gemini to
"lie with full confidence."
⚠️ Note: How to correctly interpret these numbers
However, please do not treat these numbers as absolute.
Reason:
AA-Omniscience is a test that handles the most difficult knowledge-based questions
ChatGPT 5.5 has a strong tendency to answer with guesses rather than saying "I don't know" when it doesn't know something
On the other hand, Claude has a high rate of answering "I don't know"
In short, it is a problem of the trade-off between "intelligence" and "humility"
To use a familiar example, it is similar to the difference between a knowledgeable but overconfident scholar and a knowledgeable and cautious scholar.
Even if both have about the same amount of knowledge, their approach to unknown questions is different.
💼 Merchant's perspective: Situations where hallucinations are fatal
However, in business settings, this difference is fatal.
Specifically:
Scene 1: Fact-checking
When writing news commentary articles, if you leave fact-checking to ChatGPT, there is a high possibility it will return plausible-sounding fake numbers.
Example: It might answer, "This company's market capitalization is about 3 trillion yen," but in reality it is 500 billion yen.
Scene 2: Data analysis
When you leave spreadsheet analysis to it, it might answer, "The average value is about 340," but there is a possibility it is making a calculation error.
Scene 3: Legal and medical information
It might answer, "This contract clause is interpreted this way under Japanese law," but in reality it is an outdated legal interpretation.
In other words, the output of ChatGPT 5.5 must always be verified by a human.
The assumption that "it must be correct because the AI answered it" leads to fatal accidents.
🛡️ Countermeasure: Cross-checking with multiple AIs
Here, I will share the Pos-tori style countermeasure.
In my case, important fact-checking is done in the following flow:
Organize the facts of the first draft
Fact-checking with two or more AIs is, in some cases, manually searching the web to verify
Final verification using official sources (corporate press releases, government announcements, academic papers)
To use a familiar example, this is the same as making an important management decision not by relying on just one consultant, but by gathering opinions from multiple experts and having the manager make the final decision.
This is the concept of using AI in a cross-check system.
⚠️ 3 tips to spot "confident lies"
I will share 3 tips for spotting hallucinations in ChatGPT.
Tip 1: Be careful with specific numbers and dates
Things like "about 3 trillion yen" or "May 15, 2024", numbers and dates that are too specific, require extra verification.
It is an AI habit to make "about this much" specific with plausible-sounding numbers.
Tip 2: Be wary when you see "it seems" or "it is said that"
If you see phrases like "it is said that..." or "it is considered that...", which are expressions that obscure the source, there is a high possibility that there is no source.
Tip 3: If it quotes a celebrity, definitely verify it
For quotes like "Person A says this", always check if that statement actually exists. AI sometimes fabricates quotes from famous people.
🎯 Where to use ChatGPT 5.5: Use it with the assumption of hallucinations
In other words, you should use ChatGPT 5.5 with the assumption that it has an 86% hallucination rate.
Specifically:
Situations requiring creativity(brainstorming, drafting outlines, etc.):OK
Situations requiring accuracy(fact-checking, data analysis, etc.):Human verification is essential
Situations where you want a finished product in one go: NG
In a business setting, I honestly don't have the courage to make an AI with an 86% hallucination rate my primary tool.
However, it is perfectly usable if used as a supplement, with human verification.
I believe this is the correct way to use ChatGPT 5.5 at this moment.
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✅ Brief summary of Chapter 3
① Hallucination = A phenomenon where AI "lies with total confidence"
Instead of saying "I don't know" when it doesn't know something, it creates and answers with a plausible-sounding lie. It's the same structure as a new salesperson under pressure who gives random answers to questions about products they don't know.
② In independent evaluations, ChatGPT 5.5 scored 86%, Claude 36%, and Gemini 50%
However, this is a trade-off between "intelligence" and "humility." Claude has a high rate of answering "I don't know," while ChatGPT has a strong tendency to answer by guessing.
③ The countermeasure is "cross-checking with multiple AIs" + "final human verification"
Important facts should be verified by multiple AIs and finally confirmed with official sources. Trusting AI output as-is can lead to fatal accidents.
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🎨 Chapter 4: Image generation ChatGPT Images 2.0 is a "mainstay candidate"—A story about testing it for long-form manga production (details to follow later)
The roasted green tea is running low, so I'll switch to green tea from here.
When I poured boiling water into the teapot, a scent mixed with astringency and umami wafted up.
From here on, it's about things other than ChatGPT 5.5's writing.
In particular, I will briefly touch upon the image generation function (ChatGPT Images 2.0).
🎨 The writing is weak, but the images are strong
I'll be honest.
The image generation feature (Images 2.0) of ChatGPT 5.5 is quite strong.
To use a familiar example, imagine an automaker.
One company has a weak engine but excellent design.
Another company has the strongest engine but below-average design.
ChatGPT might be "a bit bland" in its writing, but my assessment is that it could become a major candidate for image generation, illustration, and manga creation.
📚 Currently testing long-form manga production
Actually, I am currently conducting a test to produce a long-form manga using ChatGPT Images 2.0.
This is a quite interesting experiment involving:
Character consistency: Can the same character be drawn across multiple panels?
Panel layout and composition: Can it create manga-style panel layouts?
Background consistency: Can the same location be drawn from multiple angles?
Dialogue placement: Can speech bubbles be placed in a manga-like fashion?
I am currently verifying these.
As I also explain in this article,
For short stories of about 5 or 6 pages, you can easily turn them into manga.
In this article,
There is still room for improvement, but I plan to report the detailed results in a separate article at a later date.
Please look forward to it.
🎯 How to use image generation tools
At this moment, here is how I use my image generation AIs:
ChatGPT Images 2.0: Tasks requiring manga, characters, and consistency across multiple panels
NanoBanana pro: Tasks requiring single illustrations or headers
It would be a waste to evaluate ChatGPT 5.5 "only as a writing AI.".
When you include image generation, diagramming, and manga creation, it is well worth placing at the core of your production process..
💼 Merchant's perspective: Evaluation across the entire production process is necessary
Here, I will write from a merchant's perspective.
Business should be evaluated based on the entire product manufacturing process.
Creating Note articles is the same.
Article body(text)
Article thumbnail(image)
Diagrams within the article(image)
Article teaser manga(image)
Short text for SNS posts(text)
Video for YouTube Shorts(video + image)
For all these processes, it is necessary to consider which AI to place where.
My current configuration is:
Article body: Claude Opus 4.6(main), Gemini Pro 3.1(main)
Drafting & fact-checking: Claude + Gemini(cross-check)
Image Generation/Manga: ChatGPT Images 2.0(Testing as a primary candidate)
Secondary for emergencies: ChatGPT 5.5(Drafting/Assistance)
This is the arrangement of "multiple suppliers."
It is designed so that even if one stops, the entire production process does not stop.
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✅ Chapter 4 Summary
① ChatGPT 5.5 may be stronger in images than in text
It is "too much of an honor student" in text generation, but it can become a "primary candidate" in image generation (Images 2.0). It is particularly strong in manga production, such as character consistency and panel layout.
② Long-form manga production test in progress
Currently verifying character consistency, panel layout, background integration, dialogue placement, etc. Detailed results will be reported in a separate article at a later date.
③ AI should be evaluated based on the "entire production process"
It is a waste to evaluate it only as a text AI. You need the mindset of deploying the optimal AI for each process, such as article body, images, manga, and social media posts.
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💀 Chapter 5: The Genealogy of Cases Collapsed by Single-Platform Dependency—Zynga, CartHook, Amazon-Dependent E-commerce, and Your Business
The green tea is running low, so I'm switching to hot water from here on out.
I put away the teapot and took a sip of simple hot water.
Nothing extra, just warmth spreads through my mouth.
From here, I will step into the core of this article.
Why is it fatal to rely on a single AI or a single platform?
I will introduce three past examples.
💀 Case 1: Zynga vs. Facebook (2012)
The most famous example is the case of a game company called Zynga.
Zynga is an American game company founded in 2007.
Their masterpiece was FarmVille, a farming game played on Facebook.
At its peak (2012):
Monthly active users: approximately 240 million
At the time of its IPO, it recorded a valuation of approximately $10 billion (about 1.6 trillion yen)
Over 90% of its revenue came via Facebook
→ In other words, Zynga's business was standing on a single leg: Facebook.
⚡ In 2012, Facebook changed its terms of service
And in 2012, Facebook changed its notification rules for games.
The "feature to send game invitations to others" was significantly restricted.
Result:
Zynga's user acquisition plummeted
Stock price fell by about 75%
In Q4 2012, it reported a net loss of $485 million (about 76 billion yen)
Implemented large-scale layoffs
In short, due to a single company's policy change, a company valued at 1.6 trillion yen nearly collapsed in half a year.
To use a relatable example, imagine 90% of your shop's customers came through a nearby shopping mall.
The moment that mall says, "We are changing the customer traffic flow to your shop," the customers vanish.
This is the fear of relying on a single platform.
By the way, even though sales are shrinking now, FarmVille has become a smartphone game, and it is still being operated.
💀 Case 2: CartHook vs Shopify
Another example is the case of an app company called CartHook.
CartHook was building an extension app that runs on the e-commerce platform Shopify, Canada's largest shop management site.
Specifically, it was an app loved by many e-commerce businesses that provided "post-purchase upsell" functionality.
However, one day, Shopify changed its platform specifications.
The core functionality of CartHook stopped working.
Result:
CartHook lost the core of its business
forced to rebuild outside of Shopify
the need to rebuild relationships with existing customers from scratch
In other words, as long as you do business on a platform, your business can disappear at the platform's whim.
💀 Case 3: E-commerce businesses dependent on Amazon
And, the most familiar example for me is e-commerce businesses dependent on Amazon and Rakuten.
In Japan, it is not rare for mail-order businesses to generate over 90% of their sales through e-commerce malls like Amazon.
However, on Amazon:
Account suspension(for unclear reasons)
Sudden deletion of product pages
Fee hikes(multiple times in the past 5 years)
Algorithm changes causing sudden drops in search rankings
These things happen frequently.
To use a relatable example, it's the moment you realize that the place you thought was "your own shop" is actually a "rented store." There is a possibility of being kicked out at any time for the landlord's (Amazon's) convenience.
In fact, among the business owners I know, there is someone whose Amazon account was suspended for unknown reasons, and 90% of their sales vanished.
Recovery took over half a year, and they struggled immensely with operating funds during that time.
🎯 Commonality: A one-legged stool will always fall
These three cases have a commonality.
"If dependency on one company, one platform, or one channel is over 80%, a single decision by them can wipe out 90% of your business."
This is not a matter of probability, but a matter of structure.
Given enough time, it will inevitably happen somewhere.
To use a familiar example, imagine a one-legged chair.
If you try hard to balance it, you can stand it up for a short time.
However, it will fall over with just a slight breeze.
Business is the same.
A business standing on one leg will inevitably fall somewhere.
🎯 This also applies to AI
And this lesson applies perfectly to the current AI industry as well.
What if Claude suddenly raises its prices?
What if Gemini shuts down its service?
What if your ChatGPT account is suddenly suspended?
You might think, "That could never happen."
However, Zynga, CartHook, and Amazon-dependent e-commerce businesses all thought the same thing.
If you limit your suppliers to just one, your business will end the day that company shuts down or raises its prices.
I will leave this statement here once again.
Suppliers, sales channels, financing, and AI—they all share the same structure.
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✅ Chapter 5 Summary
① Zynga Case Study: Relying solely on Facebook, a 1.6 trillion yen valuation nearly collapsed in six months
In 2012, Zynga's stock price fell by 75% due to a change in Facebook's terms of service. A classic example of "a parent company's decision causing a subsidiary's business to vanish."
② CartHook Case Study: An app on Shopify loses its core functionality due to a specification change
Businesses on a platform can disappear at any time at the platform's discretion. It is not a "castle of one's own," but a "store that requires rent."
3. Amazon-dependent e-commerce: Cases where 80% of sales vanish due to account suspension are becoming routine
Account suspensions for unknown reasons, sudden fee hikes, and drops in search rankings. These are realistic risks that many Japanese e-commerce operators are facing.
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🌐 Chapter 6: A 12-year merchant's perspective—The iron rule of "multiple suppliers" learned from Middle Eastern affairs, Chinese rare earths, and currency fluctuations
I took a sip of hot water and drank it again.
Just warm waterslowly soaks into the bottom of my stomach.
From here, I will delve into the risks of a "single-leg" approach from the perspective of a 12-year trade merchant.
This is not just about AI.
It is a challenge that business people all over the world are facing at this very moment.
🌍 Case 1: Middle Eastern affairs and the disruption of trade routes
In my 12 years as a trade merchant, one of the most important lessons I have learned recently is the instability of the Middle East.
As you all know, the situation in Iran has not been good lately.
The Middle East is a vital region that produces about 30% of the world's oil and about 20% of its natural gas. For Japan, that figure is nearly 90%.
However, just in the last 10 years:
2014-2017: Iraq-Syria conflict
2017-2021: Qatar diplomatic crisis
2019: Drone attack on Saudi Arabian oil facilities
2023-2025: Israel-Hamas situation and Red Sea shipping route issues
June 2025: Direct Iran-Israel conflict
Ongoing: Multiple regional conflicts occurring simultaneously
I even know someone who relied on a "single local partner" and experienced their business coming to a halt for three months due to political instability.
What they learned at that time was the ironclad rule: "Have multiple suppliers while you still have the leeway."
For example, by having one supplier in Saudi Arabia, one in the UAE, and one in Turkey, you can diversify geographically.
To use a more familiar example, if you rely on sourcing fresh food from only one market, it is the same as your business stopping on the days that market is closed.
🪨 Case 2: The China Rare Earths Issue
Another powerful example is China's rare earths.
Rare earths are metals essential to the foundation of modern society, such as for smartphones, electric vehicles, missiles, and medical equipment.
Approximately 60% of the world's supply is produced in China.
Since many of our company's products are home appliances, we would be in trouble if we could no longer source them in the future, so we are currently selling off many items for cash to exit while we still can.
Past incidents:
2010: China restricts rare earth exports. Japanese electronics manufacturers on the verge of production shutdowns
2024: China introduces export controls on semiconductor materials like gallium and germanium
2025: Amidst US-China tensions, rare earth supply is used as a geopolitical card
A country that relies on a single nation for critical resources risks having its entire industry come to a halt based on that nation's political decisions.
As a countermeasure to this, Japan, the US, and Australia are rushing to develop alternative supply sources for rare earths.
Escaping the 'single-leg reliance on China' has become a national strategy-level challenge.
To use a familiar example, if the water supply comes from only one river, it is the same as the city's water stopping the day that river is contaminated.
Even for a nation, 'multiple water sources' are necessary.
💹 Case 3: Exchange rate fluctuations and the fear of single-currency reliance
The third example is currency fluctuations.
I myself have had periods where I had many dollar-denominated transactions. It's the same with AI today, but
if a transaction contracted when the dollar was 100 yen per dollar becomes 150 yen per dollar at the time of payment, then costs increase by 50%.
Past currency fluctuations:
2011: 76 yen per dollar (super strong yen)
2024: 160 yen per dollar (super weak yen)
As of April 2026: around 158 yen per dollar
In just 15 years, the dollar-yen rate has fluctuated by about double.
🎯 What these teach us
Middle East affairs, Chinese rare earths, currency fluctuations—what these three examples teach us is:
"Dependency on a single company, single country, single currency, single platform, or single AI can be a fatal blow to a business."
That is what it means.
AI and business share the same structure.
I believe "diversification" is the foundation for long-term survival.
🛡️ Pos-tori Style: AI Multiple Supplier Strategy
Based on these points, I will share my AI multiple supplier strategy as a note to myself.
Placement 1: Text Generation (Main)
Claude Opus 4.6: One of the main tools (excels at writing with a natural, nuanced feel)
Gemini Pro 3.1: A long-time main tool (casual but excels at deep reasoning)
By running both in parallel, I can continue even if one goes down
Placement 2: Text Generation (Sub)
ChatGPT 5.5: Emergency sub (for drafting structures and fact-checking assistance)
Claude Opus 4.7: Currently being adjusted (as a future option)
Placement 3: Image Generation
ChatGPT Images 2.0: A primary candidate for tasks requiring consistency across manga panels
NanoBanana Pro: For tasks requiring single illustrations or headers
In short, I am running 2-3 types of AI in parallel depending on the purpose.
💼 A Merchant's Golden Rule: 3 Things You Can Change Starting Tonight
Finally, I will share 3 things you can practice as a merchant starting tonight.
First: Calculate your business's dependency level
Write down on paper, "What percentage of sales depends on which platform or which business partner?" If you are relying on a single source for 90% or more of your revenue, it is at an alarm level.90% or more dependent on one is an alarm level.
Second: Secure at least one secondary option
When your main AI, main platform, or main business partner stops, have an "alternative you can switch to immediately" prepared.
Third: Simulate "What if the main one stops tomorrow?" once a month
This is the same as fire drills. You don't have to do it every day, but if you simulate it in your head once a month, your response will be faster if it actually stops.
If you narrow your suppliers down to just one company, your business will end the day that company raises its prices.
Finally, let me leave you with these words one more time.
Sourcing, sales channels, financing, AI—everything is the same.
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✅ Chapter 6 Summary
1. The "fatal wound of a single leg" taught by Middle East affairs, Chinese rare earths, and exchange rate fluctuations
Whether at the national, corporate, or individual business level, a "structure dependent on one thing" will inevitably collapse due to external factors.
2. AI multi-supplier strategy: Running 4-6 types in parallel based on use case
Using 2-3 types for text generation, 1-2 for image generation, and 1-2 for search, depending on the purpose. A design where the entire process doesn't stop if one goes down is essential.
3. Three things you can start practicing tonight: Dependency calculation, securing secondary options, and monthly simulations
This is the same as fire drills. You don't have to do it every day, but a monthly mental simulation changes your response speed when things actually stop.
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☕ Final Chapter: Conclusion—If you narrow your suppliers down to one company, your business ends the day that company raises its prices.
The hot water is already showing its bottom.
In the distance of the landscape, business people all over the world are fighting against the risk of a "single leg".
🔔 Summary so far
Up to this point, I have dissected the real-world test of ChatGPT 5.5 and the risks of platform dependency in six chapters.
When you line these up, the conclusion that emerges is one.
🎯 Conclusion: Over 90% dependency is an alarm-level situation
If 80% or more of any of your "business pillars"—sales, procurement, financing, or AI—are dependent on a single source, that is an alarm-level state.
The reason lies in the structure, not the probability.
Given enough time, it will inevitably happen somewhere.
To use a familiar example, a one-legged chair can stand for a short time, but it will definitely fall.
Business is the same.
📊 Three questions that emerge
In the conclusion of this article, I will pose three questions.
Question 1 How many pillars of your business do you have?How many?
Question 2 Among those pillars, is just one supporting more than 80%?
Question 3 If that one pillar were to collapse tonight, could you continue your business tomorrow?
There is no answer that satisfies everyone to these questions.
However, continuing to hold these questions as questions is the first step toward sustaining your business in the long term.
Finally, I will leave these words here once more.
If you narrow your suppliers down to one, the day that company raises its prices, your business ends.
This is not just about AI.
Sourcing, sales, financing, platforms, payments, advertising—it is the same structure for everything.
Tonight, check the dependency level of your own business.
That is the first step to protecting yourself three, five, and ten years from now.
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🎯 3 things readers can do starting today
① Write down the dependency level of your business on paper
For each element of your business—sales, procurement, customer acquisition, payments, tools, etc.—write down on paper by tonight what percentage of each is dependent on what. If 80% or more is concentrated in one place, that is an alarm-level situation.
② Prepare at least one secondary option
Prepare an "alternative that can be switched to immediately" for when your main AI, main sales channel, or main business partner stops working. It does not have to be completely equivalent; a level that allows for "minimum continuity" is sufficient.
③ Once a month, simulate "What if the main one stops tomorrow?"
This is the same as a fire drill. You don't have to do it every day, but if you simulate it in your head once a month, your response speed when it actually stops will change.
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⚠️ Disclaimer
This article is intended for the purpose of organizing general information regarding the actual test results of ChatGPT 5.5 and platform dependency risks.
It does not recommend any specific AI service, subscription, investment target, company, or financial product.
The features, subscription plans, terms of use, and performance of AI services are subject to change.
Furthermore, benchmark figures are evaluations under specific conditions and do not guarantee the same results for all practical tasks.
Please take responsibility for your own actual business use, contracts, billing, and business decisions.
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Watching the evolution of AI makes me feel anxious.
I feel like I have to use this, try that, and keep up with every new model.
However, what is important in business is not "jumping at everything".
It is about "deciding where to keep your tools."
ChatGPT 5.5 has certainly become more powerful.
However, for me, it is not yet the protagonist of my writing, but rather
a powerful tool to keep on my production desk.
Researching. Organizing. Editing. Creating images. Making manga.
That is where it is effective.
On the other hand, Pos-tori style writing still needs a little human touch.
Trim the parts that are too polite. Intentionally leave in repetitive words. Add a little bitterness.
It's the same as coffee.
Without bitterness, it just becomes overly sweet.
Tomorrow, I will continue to write Pos-tori articles while running AIs in parallel.
And I will brew the same coffee again.
With the same beans, the same grinder, and the same cup.
And somewhere in the world, I think of the merchants who have started to realize the danger of a one-legged business.
If you limit your suppliers to just one, the day that company raises its prices, your business is over.
That is the iron rule I want to share with you today, based on my 12 years of experience as a merchant.
✍️ A word from Pos-tori
If this article helped you realize "so this is the structure behind it," please be sure to "like" or "follow".
That one click of yours becomes coffee money (fuel) for me shivering in the snowy country.
Deeper economic analysis and the business secrets I can't write about publicly are being shared in Membership Only.
I look forward to having you join us as a compass to survive these treacherous times.
Furthermore, the long-form manga production test using the image generator ChatGPT Images 2.0 is currently being verified.
I will report the results in detail in a separate article as soon as they are compiled, so stay tuned!
If you have any requests or questions, please let me know.
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🔴 List of Reference Sites
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📰 OpenAI Official (April 23, 2026)
"Introducing GPT-5.5"
* Official announcement of ChatGPT 5.5. It discloses official benchmark figures such as 82.7% on Terminal-Bench 2.0, 84.9% on GDPval, 78.7% on OSWorld-Verified, and 98.0% on Tau2-bench Telecom. It is positioned as the first fully retrained base model since GPT-4.5.
📍 Media Trend: Primary source from OpenAI official.
URL: https://openai.com/index/introducing-gpt-5-5/
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📰 MarkTechPost (April 23, 2026)
"OpenAI Releases GPT-5.5, a Fully Retrained Agentic Model That Scores 82.7% on Terminal-Bench 2.0 and 84.9% on GDPval"
* Detailed technical analysis of the GPT-5.5 announcement. Covers pricing details and benchmark comparisons, including API costs at double the previous version ($5/M input, $30/M output) and GPT-5.5 Pro at $30/M input, $180/M output.
📍 Media Trend: Overseas media specializing in AI technology. Strong in detailed technical analysis.
URL: https://www.marktechpost.com/2026/04/23/openai-releases-gpt-5-5-a-fully-retrained-agentic-model-that-scores-82-7-on-terminal-bench-2-0-and-84-9-on-gdpval/
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📰 VentureBeat (April 23, 2026)
"OpenAI's GPT-5.5 is here, and it's no potato: narrowly beats Anthropic's Claude Mythos Preview on Terminal-Bench 2.0"
* A calm analysis of the competitive landscape between AI models, noting that it narrowly beat Claude Mythos Preview on Terminal-Bench 2.0, while Claude Opus 4.7 (64.3%) still leads on SWE-Bench Pro. It clarifies the structure that "there is no single AI that is the strongest in all fields."
📍 Media Trend: Major US technology media. Known for its reputation in analyzing the competitive landscape of the AI industry.
URL: https://venturebeat.com/ai/openais-gpt-5-5-is-here-and-its-no-potato-narrowly-beats-anthropics-claude-mythos-preview-on-terminal-bench-2-0
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📰 Handy AI (April 23, 2026)
"Model Drop: GPT-5.5"
* Includes a significant observation from Artificial Analysis's independent evaluation, AA-Omniscience, showing that the hallucination rate for ChatGPT 5.5 is 86%, compared to 36% for Claude Opus 4.7 and 50% for Gemini 3.1 Pro Preview. Analyzes the trade-off between "intelligence" and "humility."
📍 Media Trend: Independent AI industry analysis media. Calmly evaluates the strengths and weaknesses of each model.
URL: https://handyai.substack.com/p/model-drop-gpt-55
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📰 Decrypt (April 23, 2026)
"OpenAI Releases GPT-5.5: Faster, Smarter—And Pricier"
* An explanation of the trade-off between ChatGPT 5.5's pricing analysis and performance improvements. Clarifies the era where "if you want the strongest performance, you pay the highest price."
📍 Media Trend: Technology and cryptocurrency news media.
URL: https://decrypt.co/365333/openai-gpt-5-5-release-agentic-coding-benchmarks
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📰 Micro SaaS Bytes (October 2024)
"Platform Dependency Risks: What Indie Hackers Must Know"
* Covers cases of companies that collapsed due to platform dependency, such as Zynga vs. Facebook (2012) and CartHook vs. Shopify. Warns of the risks of depending on Amazon, Google, the Apple App Store, etc.
📍 Media Trend: Business media for indie developers and entrepreneurs.
URL: https://microsaasbytes.com/platform-dependency-risks
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📰 Omeda (April 2025)
"6 Risks of Renting Your Audience (And How to Own It Instead)"
* As of 2025, 62% of marketers report diversifying their strategies due to AI search and search fragmentation. An empirical analysis of the risks of relying on third-party platforms.
📍 Media Trend: A US marketing strategy media outlet. Strong in data journalism.
URL: https://www.omeda.com/blog/renting-audience-vs-owning-audience/
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📰 Academy of Management Perspectives (March 2025)
"Platform-Dependent Entrepreneurs: Power Asymmetries, Risks, and Strategies in the Platform Economy"
* An academic paper on Platform-Dependent Entrepreneurs (PDEs). Systematically analyzes power asymmetries, risks, and response strategies in the platform economy. Proposes "multi-homing" (using multiple platforms in parallel) as a key countermeasure.
📍 Media Trend: A peer-reviewed academic journal from the Academy of Management in the US.
URL: https://journals.aom.org/doi/abs/10.5465/amp.2019.0103
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【Author Profile】
I, Posu-dori, also known as "Cokumu George," run a trading business in the Hokuriku region while working on projects that shed light on the "gaps" in society, as written about in this article.
I have many failures, struggles, and embarrassing stories, but I share the real stories I've seen and felt in the field, along with the business insights gained from them, here on this note.
I also tweet about my daily realizations on X (formerly Twitter), so please follow me.
Your support gives strength to me and to them.
note: https://note.com/glad_auklet4142
Threads:https://www.threads.com/@cokumu_motto
X (Twitter):https://x.com/_596_
【Special Free Report】 Information
While you wait for the next article, please deepen your thinking with this report. Why do 90% of entrepreneurs disappear from the market? You can find the scientific basis for this and perform a self-diagnosis to ensure you don't follow the same path.
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7 Scientific Analyses of "Disappearing Entrepreneurs" from 12 Years of Trading Experience: Why Do 90% Fail? Self-Diagnosis Learned Through Data and Real Examples
Why do 90% of entrepreneurs, who should have been full of passion, disappear from the market? Behind this, there are "scientific laws" that cannot be dismissed as just luck or talent. In this report, we thoroughly dissect the 7 fatal patterns common to failure. It should serve as a guide to prevent you from making the same mistakes.
【Special Magazine】 An Invitation to You Who Seriously Want to Break Through
This is a special magazine collecting paid articles into which I have poured all my experience and knowledge on deeper, more practical themes. The "key" to pushing your business or life to the next stage might be hidden within. As an investment in your future, I hope you will pick up the ones that match your challenges.
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[Complete Anatomy: 120,000 Characters] Success Strategies of 12 Top Overseas Bloggers
While you continue to exhaust yourself with your own methods, top players overseas keep earning with reproducible "laws." Steal all those secrets in 120,000 characters and make them your own. Before it's too late, do it now.
[NEW! 220,000 Characters] Silent Alarm: Before Your Soul Breaks. A "Super" Early Detection and Prevention Guide to Burnout for Freelancers & Entrepreneurs
"Yesterday, you were at the top of the world. Today, you can't get out of bed." This is not someone else's problem. Based on the real-life examples of 12 overseas entrepreneurs who quietly broke their hearts at the peak of their success, this guide fully covers the "subjective symptoms" and "preventive measures" of burnout. This is a "soul alarm system" to protect your future.
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[Permanent Preservation Edition] Why do that person's notes sell even at a high price?
Selling valuable content cheaply is a sin. This is the "forbidden technique" for selling at a fair price while being thanked by customers. Without knowing this, you might remain on the side of the exploited for the rest of your life.
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[Documentary: 30,000 Characters] How to Choose a Tax Accountant?
How did I manage a V-shaped recovery when I was on the verge of running out of funds? It all came down to "choosing a tax accountant." This is a potent drug packed with everything from how to search, market rates, and the inside story revealed by a former national tax official.
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[Make Your Corporation a Stock Company!] My story of losing tens of millions of yen by skimping on 140,000 yen in establishment costs.
"Let's go with a limited liability company because it's cheap"... Did you know that such a casual choice is the beginning of losing everything—loans, recruitment, and trust? This is a record of my blood-stained failure where I actually threw tens of millions of yen down the drain.
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[A True Story] My Complete Record of Bankrupting and Closing Down Deficit-Ridden Companies
Is there any soldier who jumps onto the battlefield without knowing the escape routes? Before learning how to "build" a company, learn how to "close" one, which is 100 times harder. This is the absolute prerequisite for a successful entrepreneur. Do not look away from the inconvenient truths that no one wants to talk about.
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[Must-See for Beginners!] The Ultimate Account Management Technique to "Save Money" Taught by a Former National Tax Agency Official
The reason you can't earn or save money isn't because you lack ability. You just don't know the "how-to." It is a lost opportunity to remain ignorant of this method, which is so simple yet powerful that it is practiced by a former National Tax Agency official.
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[Paid Note / 40,000 Characters] The Secrets of the "Official Refund Feature" to Increase Sales by an Average of 2.8 Times
The "refund feature" that many people are too afraid to use is actually the detonator that will explode your sales. By reading this article, you can confidently display "Refunds OK" and leave your rivals in the dust.
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[Safe Even for AI Beginners] Just 5 Minutes! The Complete Procedure to Create Your Own Sellable Note Header with AI
The era of spending time and money on header images is over. If you follow this article, anyone can create a professional-grade header in 5 minutes. What will you do with the tens of thousands of yen you saved? Smart people are already starting.
[Author Introduction]
The author of this article, "Posu-dori," also known as "Kokumu-George," is a trader who routinely handles product imports and product planning while communicating with vendors from various countries in the Hokuriku region.
For details on my background and profile, please see the following page.
Also, as a business copywriter, I am involved in creating product copy and product descriptions. However, the case studies and explanations introduced here are structured based on Posu-dori's unique perspective—leveraging insights on the latest technology and AI, conducting research on academic papers and research reports, drafting, and brainstorming.
Since much of the content within the article is AI-generated, this is a different activity from my traditional writing work.
Furthermore, Posu-dori regularly introduces the latest papers, research results, and case studies on X (formerly Twitter, https://x.com/596), allowing readers to freely enjoy new insights and inspiration.
This note contains a variety of content created through the collaboration of AI and humans. As a new form of next-generation reading material, please take a look at other articles, follow me, and enjoy the latest information.
※[About the Content Generation of This Article]
As written in the author introduction, this article also utilizes advanced AI tools such as ChatGPT (OpenAI), Claude (Anthropic), and Gemini (Google) to conduct research on academic papers and research reports, create drafts, and brainstorm ideas.
The generated text is used as a first draft in accordance with the terms of service of each respective service.
The content posted is also in compliance with those terms. Note that the final text is always verified, edited, and rewritten by the author to ensure originality.
Heartfelt thanks to each AI tool that contributed significantly to the generation of this article. And heartfelt thanks to the readers who have read it.
[Important Notes]
1. The content of this article includes the author's personal views and hypotheses. These may not necessarily align with general recognition or the opinions of experts.
2. The information in this article is current as of the time of writing. Some information may become outdated over time.
3. Please practice and apply the content of this article at your own risk. The author cannot be held responsible for the results of any actions taken by readers based on the information in this book.
4. This article is based on the author's experience and domestic/international case studies, with the text refined by ChatGPT, Claude, and Gemini.
5. Please follow the rules when citing the content of this article. However, as stated, this is based on the author's experience and may not be correct knowledge, so please be careful to use it as reading material or for reference.
6. The copyright of this content belongs to the author. Unauthorized reproduction or duplication beyond the scope stipulated by note's terms of service is strictly prohibited.
I would like to express my heartfelt gratitude to the various AI tools that contributed significantly to the creation of this article, and above all, to the readers who have read this far.
[Important: Disclaimer regarding news commentary and investment advice]
This article is intended for news commentary and general information purposes, and aims to share insights on corporate trends, industry research, and marketing research. It does not recommend the buying or selling of any specific financial products or stocks.
The information and views presented are part of a news commentary and do not constitute investment advice.
This does not recommend investment in specific stocks or products, and the author assumes no responsibility whatsoever, so please make your final investment decisions yourself.