Step 5: Iterate and Improve
— Thomas A. Edison (20th century, American inventor)
Fifth stage – iterative improvement. The first version of the project is only the beginning. If you’re making a program, code for others, improve it iteratively – make a second, third version. If it’s content, improve the content itself. In my first publications I see what doesn’t satisfy me, I try to improve it, not by rewriting the old, but by creating new with changes in mind. You become better, you transform the content, improving part of it each time.
We iteratively improve feedback, the product, the project in gradual steps. Imagine what will happen in a year of active improvement – you’ll become experienced, projects will turn out well.
The first version of my product ANTIghostwriter was not as good as I wanted it to be. But I published it and started selling. The very first sale was a disaster, because I received feedback (step 4 btw) with some mean words about my speaking in videos. I’m not a native English speaker and recording such types of videos (screencasts) was new for me. So I rewrote the scripts for every video in the product, reshot all of them, additionally checked all the grammar with AI, and published a new version of it. But this time with confidence, because it was a huge quality improvement.
“I have not failed. I’ve just found 10,000 ways that won’t work.”
— Thomas A. Edison (20th century, American inventor)
Fifth stage – iterative improvement. The first version of the project is only the beginning. If you’re making a program, code for others, improve it iteratively – make a second, third version. If it’s content, improve the content itself. In my first publications I see what doesn’t satisfy me, I try to improve it, not by rewriting the old, but by creating new with changes in mind. You become better, you transform the content, improving part of it each time.
We iteratively improve feedback, the product, the project in gradual steps. Imagine what will happen in a year of active improvement – you’ll become experienced, projects will turn out well.
The first version of my product ANTIghostwriter was not as good as I wanted it to be. But I published it and started selling. The very first sale was a disaster, because I received feedback (step 4 btw) with some mean words about my speaking in videos. I’m not a native English speaker and recording such types of videos (screencasts) was new for me. So I rewrote the scripts for every video in the product, reshot all of them, additionally checked all the grammar with AI, and published a new version of it. But this time with confidence, because it was a huge quality improvement.
Step 6: Teach Others to Cement Your Knowledge
Sixth point – teach, transfer knowledge and skills. There’s no better way to learn than by teaching someone else. You condense information, present it as a structure so another person can apply it and do a project. This is the best way to learn.
There might be impostor syndrome, but these are psychological aspects. Manson’s book helps partially, but it’s better to work on your psyche. Life is a big experiment, a project. All people, successful or not, initially don’t understand what they’re doing, but over time they get data, information, improve skills iteratively, gradually. Then they teach others, while you stand still. Teach, it’s a useful final step.
This is a well-known phenomenon sometimes called “the protégé effect.” Educational psychology experiments have confirmed that students who tutor or prepare to teach others show higher understanding and retention. In a controlled study, participants who expected to teach the material later recalled more and organized their knowledge better than those who expected only a test.
The act of teaching forces you to clarify and structure knowledge, identifying any gaps. As far back as Seneca, educators observed “while we teach, we learn,” and modern research validates this folk wisdom. A 2014 study published in Memory & Cognition found that simply anticipating having to teach led students to adopt more effective learning strategies and remember more.
Furthermore, a 2018 meta-analysis of learning-by-teaching methods found significant benefits for the learner-turned-teacher in terms of mastery of the content. Teaching works because it combines practice, retrieval, and organization, which are all excellent learning strategies.
Sixth point – teach, transfer knowledge and skills. There’s no better way to learn than by teaching someone else. You condense information, present it as a structure so another person can apply it and do a project. This is the best way to learn.
There might be impostor syndrome, but these are psychological aspects. Manson’s book helps partially, but it’s better to work on your psyche. Life is a big experiment, a project. All people, successful or not, initially don’t understand what they’re doing, but over time they get data, information, improve skills iteratively, gradually. Then they teach others, while you stand still. Teach, it’s a useful final step.
This is a well-known phenomenon sometimes called “the protégé effect.” Educational psychology experiments have confirmed that students who tutor or prepare to teach others show higher understanding and retention. In a controlled study, participants who expected to teach the material later recalled more and organized their knowledge better than those who expected only a test.
The act of teaching forces you to clarify and structure knowledge, identifying any gaps. As far back as Seneca, educators observed “while we teach, we learn,” and modern research validates this folk wisdom. A 2014 study published in Memory & Cognition found that simply anticipating having to teach led students to adopt more effective learning strategies and remember more.
Furthermore, a 2018 meta-analysis of learning-by-teaching methods found significant benefits for the learner-turned-teacher in terms of mastery of the content. Teaching works because it combines practice, retrieval, and organization, which are all excellent learning strategies.
AI will replace you. Likely sooner rather than later.
That’s not my prediction. That’s what the CEO of Fiverr told his employees and freelancers in an internal memo that went public last year. Micha Kaufman didn’t sugarcoat it:
The memo sent shockwaves through the freelance community, but here’s what really matters – Kaufman wasn’t theorizing about some distant future. He was describing what’s already happening on his platform. Within six months, searches for “AI Agent” services on Fiverr exploded by 18,347%. New job categories that didn’t exist a year ago – AI vibe coder, AI agent trainer, ComfyUI consultant – are now among the top-earning gigs.
And Fiverr isn’t alone. IBM, Shopify, Duolingo, Klarna – major companies across every sector are publicly stating they’re replacing human workers with AI. Not planning to. Replacing. Right now.
This is the knowledge worker’s Industrial Revolution moment. Except unlike the 1760s transition from manual to machine labor that took 80 years, the AI revolution is happening in weeks. ChatGPT reached 100 million users in under two months – the fastest technology adoption in human history. New AI models launch monthly. Companies roll out automation systems that can do the work of entire teams.
I know what you’re thinking. You’ve heard AI hype before. Maybe you’re skeptical. Maybe you’re hoping this will blow over like so many other bubbles.
But I’m going to ask you to stay open to what’s actually happening in the world right now, because this isn’t coming from me – it’s coming from people smarter, richer, and more successful than either of us. And they’re all saying the same thing in one unified voice.
That’s not my prediction. That’s what the CEO of Fiverr told his employees and freelancers in an internal memo that went public last year. Micha Kaufman didn’t sugarcoat it:
“AI is coming for your jobs. Heck, it’s coming for my job too. This is a wake-up call.”
The memo sent shockwaves through the freelance community, but here’s what really matters – Kaufman wasn’t theorizing about some distant future. He was describing what’s already happening on his platform. Within six months, searches for “AI Agent” services on Fiverr exploded by 18,347%. New job categories that didn’t exist a year ago – AI vibe coder, AI agent trainer, ComfyUI consultant – are now among the top-earning gigs.
And Fiverr isn’t alone. IBM, Shopify, Duolingo, Klarna – major companies across every sector are publicly stating they’re replacing human workers with AI. Not planning to. Replacing. Right now.
This is the knowledge worker’s Industrial Revolution moment. Except unlike the 1760s transition from manual to machine labor that took 80 years, the AI revolution is happening in weeks. ChatGPT reached 100 million users in under two months – the fastest technology adoption in human history. New AI models launch monthly. Companies roll out automation systems that can do the work of entire teams.
I know what you’re thinking. You’ve heard AI hype before. Maybe you’re skeptical. Maybe you’re hoping this will blow over like so many other bubbles.
But I’m going to ask you to stay open to what’s actually happening in the world right now, because this isn’t coming from me – it’s coming from people smarter, richer, and more successful than either of us. And they’re all saying the same thing in one unified voice.
Media is too big
VIEW IN TELEGRAM
The talented anonymous trap is killing your earning potential
Read more about The One-Person Brand Blueprint: Standing Out In The Digital Economy
Watch more videos like that on my YouTube @anticodeguy
Read more about The One-Person Brand Blueprint: Standing Out In The Digital Economy
Watch more videos like that on my YouTube @anticodeguy
Substack
AI Will Replace Your Job Sooner Than You Think: The Threat To Knowledge Workers
AI is transforming the modern workforce at record speed. Understand what’s really happening, why top CEOs are embracing automation, and how you can stay ahead.
AI will replace you.
Likely sooner rather than later.
And it's happening faster than you think:
---
The Fiverr CEO sent a memo to employees last year with no sugarcoating:
"AI is coming for your jobs. This is a wake-up call."
Within 6 months, searches for "AI Agent" services exploded by 18,347%.
New job categories that didn't exist a year ago are now top-earning gigs.
---
Here's the difference between then and now: speed.
First Industrial Revolution took almost 80 years.
ChatGPT hit 100 million users in under 2 months - fastest tech adoption in human history.
New AI models launch every month.
Companies automate entire teams in weeks.
---
Goldman Sachs analysis: 300 million full-time jobs worldwide could be affected by AI automation.
Roughly two-thirds of U.S. occupations are exposed.
25 to 50% of tasks within those jobs are potentially replaceable.
The good old jobs are becoming unrecognizable.
---
OpenAI study found 80% of U.S. workers could have at least 10% of their tasks influenced by AI.
About 19% might see 50% or more of their work impacted.
Mathematicians, writers, accountants, programmers - labeled "fully exposed."
---
Duolingo CEO declared the company "AI-first" in April 2025.
They would "gradually stop using contractors to do work AI can handle."
New rule: headcount increases require proof that "a team cannot automate more of their work."
Translation - if AI can do it, AI will.
---
IBM paused hiring in May 2023 for roles "that could be replaced by AI."
7,800 jobs - about 30% of back-office functions like HR - were identified for automation over 5 years.
If your job can be automated, your position is on borrowed time.
---
Shopify CEO instituted the most aggressive policy: teams must prove AI cannot do a job before hiring someone new.
Over 2024, Shopify's headcount decreased slightly even as the company grew.
The result is efficiency gains from AI.
---
Allen & Overy law firm partnered with AI startup Harvey.
Over 3,500 lawyers began using GPT-based legal assistants for document drafting and research.
A partner noted it could save "a couple hours a week" with warning: firms not adopting face "serious competitive disadvantage."
---
Andrew Ng, AI pioneer and Google Brain co-founder, said:
"AI won't replace people, but people who use AI will replace people who don't."
That's the real threat - not the technology itself, but the gap between those who embrace it and those who resist.
---
Major companies are publicly stating they're replacing workers with AI right now.
CEOs confirm it.
Researchers publish it.
I experience it myself daily.
The question isn't whether AI will affect your work - it's whether you'll be replaced or doing the replacing.
---
Fresh article with the details on the topic: https://anticodeguy.substack.com/p/ai-will-replace-your-job-sooner-than?r=1m5hbt
Likely sooner rather than later.
And it's happening faster than you think:
---
The Fiverr CEO sent a memo to employees last year with no sugarcoating:
"AI is coming for your jobs. This is a wake-up call."
Within 6 months, searches for "AI Agent" services exploded by 18,347%.
New job categories that didn't exist a year ago are now top-earning gigs.
---
Here's the difference between then and now: speed.
First Industrial Revolution took almost 80 years.
ChatGPT hit 100 million users in under 2 months - fastest tech adoption in human history.
New AI models launch every month.
Companies automate entire teams in weeks.
---
Goldman Sachs analysis: 300 million full-time jobs worldwide could be affected by AI automation.
Roughly two-thirds of U.S. occupations are exposed.
25 to 50% of tasks within those jobs are potentially replaceable.
The good old jobs are becoming unrecognizable.
---
OpenAI study found 80% of U.S. workers could have at least 10% of their tasks influenced by AI.
About 19% might see 50% or more of their work impacted.
Mathematicians, writers, accountants, programmers - labeled "fully exposed."
---
Duolingo CEO declared the company "AI-first" in April 2025.
They would "gradually stop using contractors to do work AI can handle."
New rule: headcount increases require proof that "a team cannot automate more of their work."
Translation - if AI can do it, AI will.
---
IBM paused hiring in May 2023 for roles "that could be replaced by AI."
7,800 jobs - about 30% of back-office functions like HR - were identified for automation over 5 years.
If your job can be automated, your position is on borrowed time.
---
Shopify CEO instituted the most aggressive policy: teams must prove AI cannot do a job before hiring someone new.
Over 2024, Shopify's headcount decreased slightly even as the company grew.
The result is efficiency gains from AI.
---
Allen & Overy law firm partnered with AI startup Harvey.
Over 3,500 lawyers began using GPT-based legal assistants for document drafting and research.
A partner noted it could save "a couple hours a week" with warning: firms not adopting face "serious competitive disadvantage."
---
Andrew Ng, AI pioneer and Google Brain co-founder, said:
"AI won't replace people, but people who use AI will replace people who don't."
That's the real threat - not the technology itself, but the gap between those who embrace it and those who resist.
---
Major companies are publicly stating they're replacing workers with AI right now.
CEOs confirm it.
Researchers publish it.
I experience it myself daily.
The question isn't whether AI will affect your work - it's whether you'll be replaced or doing the replacing.
---
Fresh article with the details on the topic: https://anticodeguy.substack.com/p/ai-will-replace-your-job-sooner-than?r=1m5hbt
Right now, AI is mostly confined to work that happens on computers. It doesn’t cook your dinner or fix your car or build your house. It lives on screens, processing information and generating outputs.
But think about how much of the modern world is controlled by computer systems. The entire financial system – stock trading, banking transactions, payment processing. Commerce – buying goods, logistics, inventory management. Communication – the internet, email, messaging, social media, the entire infrastructure of how humans share information.
The internet itself is humanity’s collective knowledge repository, the driver of progress and innovation. And AI has mastered working within that digital realm.
Now robotics is advancing rapidly. Multiple companies are developing intelligent, humanoid robots controlled by AI. Some look like humans, others don’t, but they share one capability – they can perform physical labor while making intelligent decisions.
Combine AI’s cognitive abilities with robots’ physical capabilities, and you have machines that can replace humans not just at computers, but on factory floors, in warehouses, in delivery vehicles. Tesla cars already exit factories under their own power, with AI driving them off the production line.
This is becoming real, with clear outlines. However much you might want to deny it or look away, these are facts.
But think about how much of the modern world is controlled by computer systems. The entire financial system – stock trading, banking transactions, payment processing. Commerce – buying goods, logistics, inventory management. Communication – the internet, email, messaging, social media, the entire infrastructure of how humans share information.
The internet itself is humanity’s collective knowledge repository, the driver of progress and innovation. And AI has mastered working within that digital realm.
Now robotics is advancing rapidly. Multiple companies are developing intelligent, humanoid robots controlled by AI. Some look like humans, others don’t, but they share one capability – they can perform physical labor while making intelligent decisions.
Combine AI’s cognitive abilities with robots’ physical capabilities, and you have machines that can replace humans not just at computers, but on factory floors, in warehouses, in delivery vehicles. Tesla cars already exit factories under their own power, with AI driving them off the production line.
This is becoming real, with clear outlines. However much you might want to deny it or look away, these are facts.
Media is too big
VIEW IN TELEGRAM
The future belongs to creators with personal brands, not anonymous specialists
Read more about The One-Person Brand Blueprint: Standing Out In The Digital Economy
Watch more videos like that on my YouTube @anticodeguy
Read more about The One-Person Brand Blueprint: Standing Out In The Digital Economy
Watch more videos like that on my YouTube @anticodeguy
Strategy 1: Become an AI Adapter
This is about transforming yourself into an “AI First” professional – someone who actively uses AI tools to amplify their capabilities and output.
Remember Fiverr CEO Micha Kaufman’s statement: he won’t hire anyone who isn’t already using AI. Shopify requires teams to prove AI can’t do a job before approving new hires. IBM is reskilling employees to work alongside AI rather than simply laying them off.
Companies increasingly value workers who know how to leverage AI. As Andrew Ng put it,
But you don’t need to become a programmer or AI engineer. Just try to identify how AI can make you better at your existing job. How it can handle the tedious, time-consuming tasks that drain your energy so you can focus on higher-value work that requires human judgment, creativity, and relationship-building.
Early adopters are already seeing massive advantages. A study from MIT in February 2023 found that customer support agents using a GPT assistant increased their issue resolution speed by 14% on average – equivalent to months of traditional training gains. Junior agents, who benefited most from AI guidance, saw even larger improvements.
GitHub’s Copilot tool helps developers code 55% faster on certain tasks. Legal professionals using AI for document review and research save hours per week on routine work, allowing them to take on more cases or focus on complex strategy.
These are transformative productivity improvements that create a widening gap between AI users and non-users.
This is about transforming yourself into an “AI First” professional – someone who actively uses AI tools to amplify their capabilities and output.
Remember Fiverr CEO Micha Kaufman’s statement: he won’t hire anyone who isn’t already using AI. Shopify requires teams to prove AI can’t do a job before approving new hires. IBM is reskilling employees to work alongside AI rather than simply laying them off.
Companies increasingly value workers who know how to leverage AI. As Andrew Ng put it,
“People that use AI will replace people that don’t.”
But you don’t need to become a programmer or AI engineer. Just try to identify how AI can make you better at your existing job. How it can handle the tedious, time-consuming tasks that drain your energy so you can focus on higher-value work that requires human judgment, creativity, and relationship-building.
Early adopters are already seeing massive advantages. A study from MIT in February 2023 found that customer support agents using a GPT assistant increased their issue resolution speed by 14% on average – equivalent to months of traditional training gains. Junior agents, who benefited most from AI guidance, saw even larger improvements.
GitHub’s Copilot tool helps developers code 55% faster on certain tasks. Legal professionals using AI for document review and research save hours per week on routine work, allowing them to take on more cases or focus on complex strategy.
These are transformative productivity improvements that create a widening gap between AI users and non-users.
Substack
How to Become AI-First Before Your Job Disappears: 7 Steps Anyone Can Follow
As AI reshapes industries, the key to survival isn’t resistance - it’s reinvention. Learn how to upskill, leverage AI tools, and turn automation into your competitive advantage.
Most people will watch AI replace their job while still figuring out how to use ChatGPT.
Here's how to become AI-first in 7 steps (for complete beginners) before your position disappears:
---
You have two options to survive the AI wave:
1. Become an AI Adapter - use tools to amplify your output.
2. Fire Yourself First - build a one-person business powered by AI.
Sam Altman bets we'll see the first one-person billion-dollar company soon.
---
Level 1: Get acquainted with AI.
Create an account with ChatGPT or Claude.
Spend 15 minutes exploring the interface.
That's it. No pressure to accomplish anything specific.
Just get comfortable with the idea of conversing with AI.
---
Level 2: Test the waters.
Ask AI: "How can you help me?"
Then tell it about yourself - your profession, daily challenges, what you're trying to accomplish.
Treat AI as a coach or virtual friend.
Have at least 3 conversations per day on different topics.
---
Level 3: Start simple with daily tasks.
Use AI as a language tutor for practice conversations.
Replace Google searches with AI - ask questions in natural language instead of keywords.
Ask for advice on personal topics.
Use AI once per day for a week. Build the habit.
---
Level 4: Integrate AI into your work.
When you hit a roadblock, ask AI for help.
Stuck on document structure? Ask AI to outline it.
Facing a technical problem? Request that AI become an expert and advise you.
Be specific. Give context, constraints, numbers.
---
Level 5: Learn new skills with AI.
Need to learn SQL?
Ask AI to act as your tutor.
Request a learning plan with progressive lessons.
After each lesson, get practice exercises.
AI will check your work and explain mistakes.
It's like having a infinitely patient teacher 24/7.
---
Level 6: Summarization and synthesis.
Upload a 50-page report to Claude - get a summary.
Feed AI a 6-hour video transcript - extract frameworks and actionable advice.
Use that knowledge as coaching context.
Create a personalized advisor available 24/7 for $20/month.
---
Level 7: Build AI agents for automation.
Create tools that work in the background without constant prompting.
Examples: email sorting, weekly report generation, social media monitoring.
Use platforms like n8n, Zapier or Make to connect AI to your apps.
---
The biggest mistake people make:
Treating AI like Google.
With Google, shorter is better.
With AI, context is everything.
Don't ask: "marketing strategy"
Ask: "I run a B2B software company selling accounting tools. 200 customers, mostly referrals. Want 1,000 in 18 months..."
---
Andrew Ng said it best:
The window is right now.
AI is powerful and accessible, but mass adoption hasn't happened yet.
Companies are warning employees but haven't started mass layoffs.
Make sure you're on the right side.
---
The full article with the details on each level is here: https://anticodeguy.substack.com/p/how-to-become-ai-first-before-your?r=1m5hbt
Here's how to become AI-first in 7 steps (for complete beginners) before your position disappears:
---
You have two options to survive the AI wave:
1. Become an AI Adapter - use tools to amplify your output.
2. Fire Yourself First - build a one-person business powered by AI.
Sam Altman bets we'll see the first one-person billion-dollar company soon.
---
Level 1: Get acquainted with AI.
Create an account with ChatGPT or Claude.
Spend 15 minutes exploring the interface.
That's it. No pressure to accomplish anything specific.
Just get comfortable with the idea of conversing with AI.
---
Level 2: Test the waters.
Ask AI: "How can you help me?"
Then tell it about yourself - your profession, daily challenges, what you're trying to accomplish.
Treat AI as a coach or virtual friend.
Have at least 3 conversations per day on different topics.
---
Level 3: Start simple with daily tasks.
Use AI as a language tutor for practice conversations.
Replace Google searches with AI - ask questions in natural language instead of keywords.
Ask for advice on personal topics.
Use AI once per day for a week. Build the habit.
---
Level 4: Integrate AI into your work.
When you hit a roadblock, ask AI for help.
Stuck on document structure? Ask AI to outline it.
Facing a technical problem? Request that AI become an expert and advise you.
Be specific. Give context, constraints, numbers.
---
Level 5: Learn new skills with AI.
Need to learn SQL?
Ask AI to act as your tutor.
Request a learning plan with progressive lessons.
After each lesson, get practice exercises.
AI will check your work and explain mistakes.
It's like having a infinitely patient teacher 24/7.
---
Level 6: Summarization and synthesis.
Upload a 50-page report to Claude - get a summary.
Feed AI a 6-hour video transcript - extract frameworks and actionable advice.
Use that knowledge as coaching context.
Create a personalized advisor available 24/7 for $20/month.
---
Level 7: Build AI agents for automation.
Create tools that work in the background without constant prompting.
Examples: email sorting, weekly report generation, social media monitoring.
Use platforms like n8n, Zapier or Make to connect AI to your apps.
---
The biggest mistake people make:
Treating AI like Google.
With Google, shorter is better.
With AI, context is everything.
Don't ask: "marketing strategy"
Ask: "I run a B2B software company selling accounting tools. 200 customers, mostly referrals. Want 1,000 in 18 months..."
---
Andrew Ng said it best:
"People that use AI will replace people that don't."
The window is right now.
AI is powerful and accessible, but mass adoption hasn't happened yet.
Companies are warning employees but haven't started mass layoffs.
Make sure you're on the right side.
---
The full article with the details on each level is here: https://anticodeguy.substack.com/p/how-to-become-ai-first-before-your?r=1m5hbt
Media is too big
VIEW IN TELEGRAM
Your personal brand is the ultimate AI-proof business model
Read more about The One-Person Brand Blueprint: Standing Out In The Digital Economy
Watch more videos like that on my YouTube @anticodeguy
Read more about The One-Person Brand Blueprint: Standing Out In The Digital Economy
Watch more videos like that on my YouTube @anticodeguy
Strategy 2: Fire Yourself First
The second strategy is more radical but increasingly viable: quit your job before your employer fires you, and build a one-person business powered by AI.
I know how that sounds. Reckless. Irresponsible. Easier said than done.
But consider this: Sam Altman, CEO of OpenAI, revealed there’s a “betting pool” among tech CEOs predicting what year we’ll see the first one-person, billion-dollar company.
We already have historical precedents that show how technology enables massive value creation with minimal staff. Instagram had just 13 employees when Facebook acquired it for $1 billion – roughly $77 million value per employee. WhatsApp had 55 employees when it sold for $19 billion – about $345 million per employee.
With AI agents that can code, design, write marketing copy, handle customer service, and analyze data, the barriers to starting a business have collapsed. You don’t need to hire a team. You need to know how to orchestrate AI tools.
The second strategy is more radical but increasingly viable: quit your job before your employer fires you, and build a one-person business powered by AI.
I know how that sounds. Reckless. Irresponsible. Easier said than done.
But consider this: Sam Altman, CEO of OpenAI, revealed there’s a “betting pool” among tech CEOs predicting what year we’ll see the first one-person, billion-dollar company.
“It would have been unimaginable without AI – and now it will happen.”
We already have historical precedents that show how technology enables massive value creation with minimal staff. Instagram had just 13 employees when Facebook acquired it for $1 billion – roughly $77 million value per employee. WhatsApp had 55 employees when it sold for $19 billion – about $345 million per employee.
With AI agents that can code, design, write marketing copy, handle customer service, and analyze data, the barriers to starting a business have collapsed. You don’t need to hire a team. You need to know how to orchestrate AI tools.
How To Prompt AI
Compare these prompts:
Bad (Google-style):
Good (AI-style):
See the difference? The second prompt gives AI everything it needs to provide genuinely useful, specific advice rather than generic platitudes.
For simple, unambiguous questions –
Describe your system. What tools are you using? What’s the current state?
Explain your constraints. Budget limits, time restrictions, skill gaps, organizational politics.
Clarify your goal. What does success look like? What are you trying to accomplish?
AI doesn’t know these things until you communicate them. But once you do, the quality of responses can be surprisingly close to what a human expert would provide – often better than what you’d achieve after hours of independent research.
Compare these prompts:
Bad (Google-style):
“marketing strategy”Good (AI-style):
“I run a B2B software company selling accounting tools to small businesses. We have 200 existing customers, mostly from referrals. We want to scale to 1,000 customers in 18 months. Our main competitor spends heavily on Google ads, but we have a limited budget of $15,000. Based on this context, what marketing channels should we prioritize and why? What metrics should we track?”See the difference? The second prompt gives AI everything it needs to provide genuinely useful, specific advice rather than generic platitudes.
For simple, unambiguous questions –
“What’s 2+2?” or “When was the Declaration of Independence signed?” – context doesn’t matter. But for real work tasks, context is everything.Describe your system. What tools are you using? What’s the current state?
Explain your constraints. Budget limits, time restrictions, skill gaps, organizational politics.
Clarify your goal. What does success look like? What are you trying to accomplish?
AI doesn’t know these things until you communicate them. But once you do, the quality of responses can be surprisingly close to what a human expert would provide – often better than what you’d achieve after hours of independent research.
There are really only a few ways you can make money in our current economic system. And most of them are complete garbage.
You can win the lottery. You can be born into a wealthy family where every need is covered before you even think about it. Congratulations if that’s you – seriously, use that advantage. But for the rest of us it’s not that simple. We’re stuck figuring it out ourselves.
Most people default to the same path without even questioning it: get a job, trade your time for money, work 8-12 hours a day (sometimes more), and hope that somehow, someday, this will lead to freedom and wealth.
Spoiler: it won’t.
I’ve said this before and I’ll keep saying it – business ownership is the only viable path I see to real freedom and wealth in today’s world. The math simply doesn’t work any other way.
According to recent research, approximately 88% of millionaires are business owners. Let that sink in for a second. If you want to join the millionaire club, the overwhelming probability is that you need to own a business, not work for one.
Here’s an even crazier stat: entrepreneurs make up only about 8.7% of households in the United States, yet they hold roughly 39% of total wealth. Think about that ratio. Less than 9% of people control nearly 40% of the money. That’s not a coincidence.
Warren Buffett, one of the richest humans on the planet, put it:
You can win the lottery. You can be born into a wealthy family where every need is covered before you even think about it. Congratulations if that’s you – seriously, use that advantage. But for the rest of us it’s not that simple. We’re stuck figuring it out ourselves.
Most people default to the same path without even questioning it: get a job, trade your time for money, work 8-12 hours a day (sometimes more), and hope that somehow, someday, this will lead to freedom and wealth.
Spoiler: it won’t.
I’ve said this before and I’ll keep saying it – business ownership is the only viable path I see to real freedom and wealth in today’s world. The math simply doesn’t work any other way.
According to recent research, approximately 88% of millionaires are business owners. Let that sink in for a second. If you want to join the millionaire club, the overwhelming probability is that you need to own a business, not work for one.
Here’s an even crazier stat: entrepreneurs make up only about 8.7% of households in the United States, yet they hold roughly 39% of total wealth. Think about that ratio. Less than 9% of people control nearly 40% of the money. That’s not a coincidence.
Warren Buffett, one of the richest humans on the planet, put it:
“If you don’t find a way to make money while you sleep, you will work until you die”.
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Money isn't evil, but money trauma is
Read more about how Money Is Not Evil (And Other Lies You’ve Been Told About Wealth)
Watch more videos like that on my YouTube @anticodeguy
Read more about how Money Is Not Evil (And Other Lies You’ve Been Told About Wealth)
Watch more videos like that on my YouTube @anticodeguy
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The Time-for-Money Trap: Why Business Ownership Is the Only Path for Building Wealth and Financial Freedom
Most people trade time for money, but the wealthy build systems that earn while they sleep. Learn why 88% of millionaires are business owners and how to join them.
88% of millionaires own businesses.
Less than 9% of people control 40% of the wealth.
Your paycheck has a ceiling.
Their profit doesn't.
Here's why your job is probably a cage:
---
The fundamental problem with employment:
You're exchanging time for money.
You have 24 hours in a day.
Maybe work 8-12 of those.
That's your absolute ceiling.
You literally cannot sell more time than exists.
---
Let's say you make $25/hour.
Work 40 hours a week - that's $52K per year.
To double it, you have two options:
Work 80 hours a week (and destroy your health) or spend years getting promoted.
---
Compare this to business ownership:
When your business doubles its sales, your profit can double - or even more.
You're not limited by personal hours.
You leverage other people's time, money, and systems that work without you.
---
When you work a job, you get a fraction of the value you create.
You bring in $200K of value to the company.
But they pay you only $70K.
The rest goes to the business owner.
That's not evil.
That's just reality.
Question is: which side are you on?
---
In 1994 Jeff Bezos was a Wall Street VP making serious money.
But he quit to sell books online from his garage.
People thought he was insane.
And now he worth hundreds of billions.
Could he have reached that as an employee?
Not even close.
---
Look at the Forbes billionaire list.
It's dominated by company founders.
You don't see many career employees, no matter how high they climbed.
Even executives making millions rarely accumulate what top entrepreneurs do - unless they have equity.
Ownership scales exponentially.
---
I distinguish business from entrepreneurship.
Entrepreneurship = you're still trading time for money.
As a freelancer if you stop, money stops.
As an agency owner managing every client: take a vacation, pipeline dries up.
Better than a job, but still limited by your time.
---
Real business is a system that works without you.
Software product customers pay monthly.
Rental properties generating income whether you're involved or not.
A team running operations while you make strategic decisions.
That's leverage and freedom.
---
Naval Ravikant nailed it:
"Wealth is having assets that earn while you sleep."
Your salary isn't wealth.
It's a temporary transfer of your time for money.
When you stop showing up, the money stops coming.
That's not freedom.
That's a nicer-looking cage.
---
Invest $10K in a business - worst case you lose $10K.
In the best case you earn 10x, 100x, or more.
Employment - upside capped at salary plus bonuses.
Downside is job loss.
The asymmetry is huge.
---
Charlie Munger said:
"I did not intend to get rich. I just wanted to get independent."
That's what this is about.
Waking up and deciding how you spend your day based on what matters to you.
Not what your boss needs from you.
---
Let's dive deeper into the topic in my freshly dropped article: https://anticodeguy.substack.com/p/the-time-for-money-trap-why-business?r=1m5hbt
Less than 9% of people control 40% of the wealth.
Your paycheck has a ceiling.
Their profit doesn't.
Here's why your job is probably a cage:
---
The fundamental problem with employment:
You're exchanging time for money.
You have 24 hours in a day.
Maybe work 8-12 of those.
That's your absolute ceiling.
You literally cannot sell more time than exists.
---
Let's say you make $25/hour.
Work 40 hours a week - that's $52K per year.
To double it, you have two options:
Work 80 hours a week (and destroy your health) or spend years getting promoted.
---
Compare this to business ownership:
When your business doubles its sales, your profit can double - or even more.
You're not limited by personal hours.
You leverage other people's time, money, and systems that work without you.
---
When you work a job, you get a fraction of the value you create.
You bring in $200K of value to the company.
But they pay you only $70K.
The rest goes to the business owner.
That's not evil.
That's just reality.
Question is: which side are you on?
---
In 1994 Jeff Bezos was a Wall Street VP making serious money.
But he quit to sell books online from his garage.
People thought he was insane.
And now he worth hundreds of billions.
Could he have reached that as an employee?
Not even close.
---
Look at the Forbes billionaire list.
It's dominated by company founders.
You don't see many career employees, no matter how high they climbed.
Even executives making millions rarely accumulate what top entrepreneurs do - unless they have equity.
Ownership scales exponentially.
---
I distinguish business from entrepreneurship.
Entrepreneurship = you're still trading time for money.
As a freelancer if you stop, money stops.
As an agency owner managing every client: take a vacation, pipeline dries up.
Better than a job, but still limited by your time.
---
Real business is a system that works without you.
Software product customers pay monthly.
Rental properties generating income whether you're involved or not.
A team running operations while you make strategic decisions.
That's leverage and freedom.
---
Naval Ravikant nailed it:
"Wealth is having assets that earn while you sleep."
Your salary isn't wealth.
It's a temporary transfer of your time for money.
When you stop showing up, the money stops coming.
That's not freedom.
That's a nicer-looking cage.
---
Invest $10K in a business - worst case you lose $10K.
In the best case you earn 10x, 100x, or more.
Employment - upside capped at salary plus bonuses.
Downside is job loss.
The asymmetry is huge.
---
Charlie Munger said:
"I did not intend to get rich. I just wanted to get independent."
That's what this is about.
Waking up and deciding how you spend your day based on what matters to you.
Not what your boss needs from you.
---
Let's dive deeper into the topic in my freshly dropped article: https://anticodeguy.substack.com/p/the-time-for-money-trap-why-business?r=1m5hbt
The employment model is fundamentally broken if your goal is wealth and freedom. You’re trading the most valuable non-renewable resource you have – your time – for a capped income that someone else controls.
Even the best employment situations – six-figure salaries, great benefits, interesting work – still trap you in the time-for-money cycle. You stop showing up, the money stops coming. That’s not freedom, that’s just a nicer-looking cage.
Business ownership offers something completely different:
— Scalability: Your income isn’t limited by your hours
— Leverage: You use other people’s time, skills, and capital
— Equity growth: The value of what you own can multiply exponentially
— Autonomy: You make the decisions about your time and direction
Now, I’m not going to lie to you and say business is risk-free. It’s not. Tons of businesses fail. Plenty of entrepreneurs go bankrupt. The risk is real.
But here’s the risk-reward calculation that makes sense to me: If you invest $10,000 into starting a business, the worst case is you lose $10,000. In the best case you could make 10x, 100x, or even more. The upside is disproportionately huge compared to the downside.
Compare that to employment: Your upside is basically capped at your salary plus maybe bonuses. Your downside is job loss, but you’re not risking capital – just your time and opportunity cost.
Even the best employment situations – six-figure salaries, great benefits, interesting work – still trap you in the time-for-money cycle. You stop showing up, the money stops coming. That’s not freedom, that’s just a nicer-looking cage.
Business ownership offers something completely different:
— Scalability: Your income isn’t limited by your hours
— Leverage: You use other people’s time, skills, and capital
— Equity growth: The value of what you own can multiply exponentially
— Autonomy: You make the decisions about your time and direction
Now, I’m not going to lie to you and say business is risk-free. It’s not. Tons of businesses fail. Plenty of entrepreneurs go bankrupt. The risk is real.
But here’s the risk-reward calculation that makes sense to me: If you invest $10,000 into starting a business, the worst case is you lose $10,000. In the best case you could make 10x, 100x, or even more. The upside is disproportionately huge compared to the downside.
Compare that to employment: Your upside is basically capped at your salary plus maybe bonuses. Your downside is job loss, but you’re not risking capital – just your time and opportunity cost.
👍1
Media is too big
VIEW IN TELEGRAM
The most dangerous money mindset is scarcity
Read more about how Money Is Not Evil (And Other Lies You’ve Been Told About Wealth)
Watch more videos like that on my YouTube @anticodeguy
Read more about how Money Is Not Evil (And Other Lies You’ve Been Told About Wealth)
Watch more videos like that on my YouTube @anticodeguy
The Index Fund That Beat 90% of Wall Street Experts
Let’s start with the simplest, most boring, most reliable wealth-building tool: the S&P 500 index fund.
The S&P 500 tracks the 500 largest publicly traded companies in the United States. When you invest in an S&P 500 index fund, you’re basically buying a tiny piece of the entire U.S. economy – Apple, Microsoft, Amazon, Tesla, Johnson & Johnson, all of them.
It’s not sexy. Nobody’s going to brag about their S&P 500 holdings at parties. But here’s what it does: it makes money, consistently, over time.
Since 1957, when the S&P 500 took its current form, it has delivered an average annual total return of about 10.5%. After adjusting for inflation, that’s roughly 6.7% real growth per year.
Let me put that in concrete terms so you understand what compound returns actually mean:
If you had invested $100 in the S&P 500 in 1957, by 2025 it would have grown to over $96,000 in nominal terms – that’s about $8,300 in inflation-adjusted purchasing power.
That’s not from trading, picking hot stocks, or any genius moves. Just buying the index and holding it through every crash, every recession, every bear market, every moment of panic.
Now: the stock market isn’t a straight line up. There have been drops – the 2008 financial crisis saw declines of over 50% in some cases. The 2020 COVID crash happened so fast it made people’s heads spin.
But every single decline has been followed by a recovery to new highs, given enough time.
This is why time is the second essential ingredient for investing. You need the patience to ride out the volatility. If you “invested” money you need next month into the stock market, you’re gambling that it won’t crash before you need the cash.
Let’s start with the simplest, most boring, most reliable wealth-building tool: the S&P 500 index fund.
The S&P 500 tracks the 500 largest publicly traded companies in the United States. When you invest in an S&P 500 index fund, you’re basically buying a tiny piece of the entire U.S. economy – Apple, Microsoft, Amazon, Tesla, Johnson & Johnson, all of them.
It’s not sexy. Nobody’s going to brag about their S&P 500 holdings at parties. But here’s what it does: it makes money, consistently, over time.
Since 1957, when the S&P 500 took its current form, it has delivered an average annual total return of about 10.5%. After adjusting for inflation, that’s roughly 6.7% real growth per year.
Let me put that in concrete terms so you understand what compound returns actually mean:
If you had invested $100 in the S&P 500 in 1957, by 2025 it would have grown to over $96,000 in nominal terms – that’s about $8,300 in inflation-adjusted purchasing power.
That’s not from trading, picking hot stocks, or any genius moves. Just buying the index and holding it through every crash, every recession, every bear market, every moment of panic.
Now: the stock market isn’t a straight line up. There have been drops – the 2008 financial crisis saw declines of over 50% in some cases. The 2020 COVID crash happened so fast it made people’s heads spin.
But every single decline has been followed by a recovery to new highs, given enough time.
This is why time is the second essential ingredient for investing. You need the patience to ride out the volatility. If you “invested” money you need next month into the stock market, you’re gambling that it won’t crash before you need the cash.
There are two major (legal) ways to make money and become wealthy: business and investing.
Let's talk about investing.
A janitor died with $8 million.
A secretary turned $180 into $7 million.
Here's what they knew that you don't:
---
Benjamin Graham defined investing this way:
Everything else is speculation.
Capital + time + intrinsic value.
Not hoping someone pays more tomorrow.
---
The S&P 500 since 1957 has brought an average 10.5% annual return.
$100 invested then = $96,000 by 2025.
No trading.
No genius moves.
No hot stock picks.
Just buying the index and holding through every crash, every panic, every bear market.
---
Warren Buffett made a public bet in 2007:
S&P 500 index fund vs. hedge funds with expert managers and fancy algorithms.
The index won by a huge margin.
Over 90% of professional fund managers can't beat "buy everything and hold" strategy.
---
Here's what compound returns actually look like:
$1,000 at 8% annually -
After 10 years: $2,160 (decent, nothing crazy)
After 30 years: $10,000 (now we're talking)
After 50 years: $46,000 (substantial wealth)
Time is the secret ingredient.
---
Ronald Read worked as a gas station attendant, then a janitor in Vermont.
Drove an old car, wore the same jacket for years, and lived in a modest house.
When he died at 92, people were shocked.
He had accumulated an $8 million portfolio.
---
How did a janitor become a multimillionaire?
He bought shares in solid, dividend-paying companies.
Held them for decades and reinvested the dividends.
Lived below his means and waited.
That's it.
No secret formula.
Just patience and discipline.
---
Grace Groner was a secretary.
In 1935, she invested $180 in Abbott Labs (her employer).
She held that investment, reinvested dividends, and never sold.
When she died in 2010, that $180 had grown to $7 million.
One investment in 75 years became life-changing wealth.
---
What Ronald and Grace had in common:
They became investors while staying employees.
They didn't rely on salary alone - they made their money work for them.
They kept expenses modest.
Didn't upgrade every raise, didn't try to look rich.
They actually became rich.
---
Now real estate.
Andrew Carnegie said:
Today, 95% of US millionaires own real estate.
It has two returns - rental income (like dividends) plus property value appreciation over time.
---
Real estate leverage:
Buy a $500K property with $100K down (20%) and a $400K mortgage.
Tenants pay your mortgage, taxes, and maintenance.
20 years later: property worth $800K, mortgage paid off.
You invested $100K.
You own an $800K asset.
---
Real estate isn't perfect.
2008 proved property values can crash.
You deal with maintenance, taxes, vacancy, and tenants.
Less liquid than stocks - can't sell half a house for quick cash.
But historically, it's created more millionaires than any other asset class.
---
Two paths to financial freedom:
Business first (to build capital).
Then investing (to multiply it).
You need money before you can invest.
But once you have it - time + patience + compound returns = wealth nobody sees coming.
---
To dive deeper into investing and more examples like in this thread read the latest article: https://anticodeguy.substack.com/p/building-wealth-through-investing?r=1m5hbt
Let's talk about investing.
A janitor died with $8 million.
A secretary turned $180 into $7 million.
Here's what they knew that you don't:
---
Benjamin Graham defined investing this way:
"Upon thorough analysis, promises safety of principal and a satisfactory return."
Everything else is speculation.
Capital + time + intrinsic value.
Not hoping someone pays more tomorrow.
---
The S&P 500 since 1957 has brought an average 10.5% annual return.
$100 invested then = $96,000 by 2025.
No trading.
No genius moves.
No hot stock picks.
Just buying the index and holding through every crash, every panic, every bear market.
---
Warren Buffett made a public bet in 2007:
S&P 500 index fund vs. hedge funds with expert managers and fancy algorithms.
The index won by a huge margin.
Over 90% of professional fund managers can't beat "buy everything and hold" strategy.
---
Here's what compound returns actually look like:
$1,000 at 8% annually -
After 10 years: $2,160 (decent, nothing crazy)
After 30 years: $10,000 (now we're talking)
After 50 years: $46,000 (substantial wealth)
Time is the secret ingredient.
---
Ronald Read worked as a gas station attendant, then a janitor in Vermont.
Drove an old car, wore the same jacket for years, and lived in a modest house.
When he died at 92, people were shocked.
He had accumulated an $8 million portfolio.
---
How did a janitor become a multimillionaire?
He bought shares in solid, dividend-paying companies.
Held them for decades and reinvested the dividends.
Lived below his means and waited.
That's it.
No secret formula.
Just patience and discipline.
---
Grace Groner was a secretary.
In 1935, she invested $180 in Abbott Labs (her employer).
She held that investment, reinvested dividends, and never sold.
When she died in 2010, that $180 had grown to $7 million.
One investment in 75 years became life-changing wealth.
---
What Ronald and Grace had in common:
They became investors while staying employees.
They didn't rely on salary alone - they made their money work for them.
They kept expenses modest.
Didn't upgrade every raise, didn't try to look rich.
They actually became rich.
---
Now real estate.
Andrew Carnegie said:
"90% of millionaires become so through owning real estate."
Today, 95% of US millionaires own real estate.
It has two returns - rental income (like dividends) plus property value appreciation over time.
---
Real estate leverage:
Buy a $500K property with $100K down (20%) and a $400K mortgage.
Tenants pay your mortgage, taxes, and maintenance.
20 years later: property worth $800K, mortgage paid off.
You invested $100K.
You own an $800K asset.
---
Real estate isn't perfect.
2008 proved property values can crash.
You deal with maintenance, taxes, vacancy, and tenants.
Less liquid than stocks - can't sell half a house for quick cash.
But historically, it's created more millionaires than any other asset class.
---
Two paths to financial freedom:
Business first (to build capital).
Then investing (to multiply it).
You need money before you can invest.
But once you have it - time + patience + compound returns = wealth nobody sees coming.
---
To dive deeper into investing and more examples like in this thread read the latest article: https://anticodeguy.substack.com/p/building-wealth-through-investing?r=1m5hbt
Substack
Building Wealth Through Investing: Real Estate and Index Funds
Investing isn’t about luck or timing – it’s about owning assets that grow over time. Learn how disciplined investing in index funds and real estate builds lasting wealth.