Category: Skills

  • How to Become AI-First Before Your Job Disappears: 7 Steps Anyone Can Follow

    How to Become AI-First Before Your Job Disappears: 7 Steps Anyone Can Follow

    In the first article, we established an uncomfortable reality: AI is replacing knowledge workers right now, not in some distant future. CEOs from Fiverr to IBM are publicly stating they’re automating jobs. Research shows 80% of workers will see at least 10% of their tasks affected by AI. The displacement is already here.

    But of course it’s not that bad, and you’re not powerless.

    While AI threatens to replace workers who ignore it, it offers an unprecedented superpower to those who embrace it. The same technology that could eliminate your job can also make you 10x more productive, open entirely new career paths, and even let you build a one-person business that would have required a full team just a few years ago.

    The critical window is right now. We’re at a unique moment where AI is powerful and accessible, but mass adoption hasn’t happened yet. Most people are still in denial or waiting for someone to teach them. Companies are warning employees but haven’t started mass layoffs because they’re still figuring out implementation.

    This window won’t last forever.

    The question isn’t whether you should adapt – the research makes clear that adaptation is essential. The question is how. What specific steps do you take, starting from zero AI experience, to position yourself as someone who leverages AI rather than competes against it?

    That’s what this article delivers: a practical, actionable framework anyone can follow, regardless of technical background.

    The Two Strategies That Actually Protect You

    Before we dive into the step-by-step framework, you need to understand the two fundamental approaches to surviving the AI revolution. You can pursue one or both simultaneously, but you need at least one.

    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.

    black and white portrait of AI pioneer Andrew Ng discussing the rise of machine learning in modern work

    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.

    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.

    black and white portrait of Sam Altman representing leadership in AI advancement

    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.

    But Don’t Fall into a Trap

    In 2024, an entrepreneur named Jackson Fall ran an experiment he called “HustleGPT.” He used ChatGPT for business strategy and copywriting, DALL-E for design and graphics, and off-the-shelf AI tools to automate a Shopify dropshipping store. Product research, supplier outreach via AI-written emails, ad generation, website building – virtually every aspect was AI-assisted or entirely AI-executed.

    Fall described his role as “CEO and AI orchestrator,” focusing on guiding the AIs and making final decisions. Within a few months, the business reached over $100,000 in revenue with zero employees. Or did it?…

    At least it was the appeal in media. In reality the project failed in public and the guy went silent for a couple of years. So again, it’s not so simple and don’t expect AI will do all the work for you. The prompt “make me a million dollars, don’t make mistakes” will not work.

    Now, is every solo AI business going to become a unicorn? Of course not. Business fundamentals still apply – market fit, customer acquisition, execution. But the point is this: what used to require a team of specialists can now be done by one person who knows how to leverage AI effectively.

    And Don’t Quit You Job

    At a World Economic Forum panel in Davos in January 2025, venture investor Mitchell Green noted that after smartphones appeared, entirely new businesses like Uber and Airbnb emerged – now $100+ billion firms.

    “New jobs will crop up in the longer term – we just don’t know what they are yet,”

    he said.

    black and white portrait of Richard Socher representing AI innovation and human learning synergy

    Richard Socher, CEO of You.com and former Salesforce Chief Scientist, put it this way:

    “Every employee is going to become a manager of AIs. And in that sense, everyone is going to become kind of an entrepreneur.”

    I’m not advocating that everyone immediately quit their jobs. That would be irresponsible without preparation and a safety net. But I am saying this: if you have entrepreneurial ambitions, AI has lowered the barrier to entry more dramatically than any previous technology. And even if you stay employed, building AI skills and side projects creates options and security that relying solely on a traditional job no longer provides.

    The 7 Steps to Become AI Native

    Now let’s get practical. Here’s the step-by-step framework for becoming AI First, regardless of your current experience level. Start at Level 1 and progress through each stage.

    Level 1: Get Acquainted With AI

    Your first task is simple: understand what AI actually is and meet the major players.

    You don’t need technical knowledge, you don’t need to understand machine learning algorithms or neural networks, instead you just need basic familiarity with the tools available.

    Start with these two:

    ChatGPT (by OpenAI) – The most well-known AI assistant, capable of conversation, writing, coding, analysis, and creative tasks. Available at chatgpt.com.

    Claude (by Anthropic) – Another powerful AI assistant, often praised for more nuanced conversation and detailed analysis. Available at claude.ai.

    Both offer free tiers that are more than sufficient for learning. Both are LLMs – Large Language Models – trained on vast amounts of text data to understand and generate human-like responses.

    Your goal at this level: create an account with at least one of these tools and 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

    Now that you’ve met AI, it’s time to interact with it.

    Try different models if you created accounts with multiple services. Ask basic questions. Get a feel for how they respond. Most importantly, ask this exact question:

    “How can you help me?”

    Then, to get a more personalized response, tell the AI something about yourself – your profession, your daily challenges, what you’re trying to accomplish. Don’t be afraid to share. These conversations aren’t monitored by humans, and you’re not being judged.

    Treat AI as a coach, teacher, or virtual friend. The psychological barrier many people face is viewing AI as “other” – something alien or robotic. But modern AI conversation is remarkably natural. Voice chat features (available in ChatGPT and other tools) make it feel even more like talking to a person.

    Some people use AI as virtual boyfriends or girlfriends – there are entire AI companion apps that have attracted millions of users. Virtual influencers powered by AI have hundreds of thousands of followers on social media. These examples show how far conversational AI has come.

    Your goal at this level: have at least three separate conversations with AI on different topics per day. Ask about something you’re curious about. Request advice on a problem you’re facing. See how it responds.

    Level 3: Start Simple With Daily Tasks

    This is where AI starts becoming genuinely useful in your life.

    Identify simple, practical applications. Here are proven starting points:

    Use AI as a language tutor. If you’re learning a language, ask AI to be your teacher. Request explanations of grammar rules, vocabulary practice, conversation exercises. Many AI models support voice chat, so you can have actual spoken conversations for language practice.

    According to research cited by educational publications, AI tutors can provide learning gains for structured tasks like vocabulary practice and grammar drills that rival human tutoring in specific contexts. Over 700,000 students and teachers were using Khan Academy’s “Khanmigo” AI tutor by late 2024, up from 68,000 earlier that year.

    Replace Google searches with AI conversations. This is a big one. Instead of typing keywords into a search engine and sifting through results, ask AI your question in natural language.

    At first, you’ll probably phrase questions like Google queries – short, keyword-focused. That’s fine. But over time, you’ll start providing context and asking follow-up questions. You’ll realize AI understands conversation in a way Google never could.

    Google searches a database and returns relevant matches based on keywords. AI generates answers based on understanding your intent. The difference becomes obvious quickly.

    Ask AI for advice on personal topics. Existential questions, career dilemmas, everyday problems. See how it responds. The quality of advice often surprises people.

    Your goal at this level: use AI at least once per day for a full week on tasks you’d normally do another way. Build the habit of reaching for AI as a tool.

    Level 4: Integrate AI Into Your Work

    This is where you start seeing productivity gains that actually matter for your career and income.

    Think about your typical workday. What tasks do you find tedious, time-consuming, or mentally draining? What decisions leave you stuck, unsure how to proceed?

    Those are AI opportunities.

    When you hit a roadblock, ask AI for help. Stuck on how to structure a document? Ask AI to outline it. Need to analyze data but aren’t sure what metrics matter? Describe your situation to AI and get guidance. Facing a technical problem outside your expertise? Request that AI become an expert in that domain and advise you.

    The key is being specific. Don’t just say “I need help with marketing.” Say “I’m launching a software product for small business accounting. My target customers are solo entrepreneurs who currently use spreadsheets. I have a limited budget (be specific, give it numbers). What marketing channels should I prioritize and why?”

    See the difference? Context, constraints, specifics. The more information you provide, the more useful the response.

    Ask AI to break down unfamiliar tasks. If you’re assigned something you’ve never done before, ask AI to explain the process step-by-step. Request that it identify which parts it can help with directly. Then actually use it for those parts.

    The goal is experimentation. Try AI on different types of work. Some applications will feel natural and save enormous time. Others might not fit your workflow. That’s fine. You’re discovering what works for you.

    Your goal at this level: integrate AI into at least one substantial work task per week for a month. Track the time saved and quality of output.

    Level 5: Learn New Skills With AI

    This level transforms AI from assistant to personal tutor.

    When you need to acquire new knowledge or skills, don’t just passively consume information – engage AI as an active learning partner.

    Let’s say you need to learn SQL for database queries at work. Instead of watching tutorial videos or reading documentation alone, do this:

    “I need to learn SQL for my job. I have no prior experience with databases. Act as my SQL tutor. Create a learning plan with progressive lessons. After each lesson, give me exercises to practice. Check my work and explain mistakes.”

    AI will create a structured curriculum, provide practice problems, review your attempts, and explain concepts in different ways if you don’t understand. It’s like having a patient, infinitely available teacher who never gets frustrated with repeated questions.

    Ask for explanations “like I’m five years old” if technical language is confusing. Request metaphors and analogies. Have AI quiz you to test retention.

    This approach works for virtually any skill: public speaking, data analysis, project management, design principles, financial modeling. AI can’t physically demonstrate things, but it can guide, explain, and provide feedback on your practice.

    Your goal at this level: use AI to learn one new skill relevant to your career over 30 days. Document what you learned and how AI accelerated the process.

    Level 6: Summarization and Synthesis

    Now you’re ready for more sophisticated uses that create serious leverage.

    Document and video summarization. Found a 50-page research report you need to understand? Upload it to AI (Claude handles long documents particularly well) and ask for a summary highlighting key findings relevant to your needs.

    Discovered a 6.5-hour video course from an expert like Alex Hormozi on building a personal brand? Many AI tools can process video transcripts. Feed the transcript to AI and request a structured guide extracting the frameworks and actionable advice.

    This is incredibly powerful. You’re compressing hours of content into minutes of focused insight.

    But go further: once you’ve extracted that knowledge, use it as context for ongoing coaching.

    Upload that Alex Hormozi guide you created and say: “Using these frameworks as your knowledge base, become my personal brand coach. I’ll describe my situation, and you advise me based on this methodology.”

    Now you have a personalized advisor emulating an expert’s approach, available 24/7 for $20 per month instead of thousands of dollars for actual consulting.

    Feed AI entire books. Many tools accept book-length uploads. Provide context about what you’re trying to accomplish, then ask questions that help you apply the book’s principles to your specific situation.

    Your goal at this level: use AI to synthesize at least three long-form resources (articles, videos, reports, books) and create a personal knowledge base or coaching system around them.

    You can also synthesize the content for your brand, personal or corporate. You can create your own system, or just grab a ready-to-use one, like my own ANTIghostwriter. It’s a set of prompts with detailed instructions that converts your rough notes and thoughts into 76+ content pieces weekly, including long-form articles, threads, social posts in different formats, and video scripts. I use it personally, so you might have use for it as well. And it’s still on Black Friday sale, check it out: ANTIghostwriter.

    Level 7: Build AI Agents for Automation

    The final level moves beyond chat-based interaction to autonomous agents – AI that works continuously in the background without constant prompting.

    An AI agent is a tool that makes decisions independently and executes cyclical tasks without your intervention.

    Examples:

    • Email sorting agent: Automatically categorizes incoming emails into folders based on content and context
    • Weekly report generator: Pulls data from your task manager and creates a formatted report for your manager every Friday
    • Social media monitor: Tracks mentions of your company or keywords and flags important conversations requiring response

    This level requires more technical setup – often involving tools like n8n, Zapier or Make to connect AI to your apps, or using specialized platforms designed for AI automation.

    The possibilities extend to anything you can do on a computer: scheduling meetings, updating spreadsheets, generating routine content, monitoring data for anomalies, conducting research on specific topics.

    At a practical level, this is how you start building that one-person business. AI agents handle operations while you focus on strategy, customer relationships, and growth.

    Your goal at this level: identify one repetitive task in your workflow and research how to automate it with AI agents. Start simple – even saving 30 minutes per week compounds over time.

    The Tip: Why AI Isn’t Like Google

    Before we wrap up, I need to address the single biggest mistake people make when starting with AI: treating it like a search engine.

    With Google, shorter is better. If you search “Italian restaurants Boston,” you get results. If you search “Please help me find Italian restaurants in Boston that serve gluten-free pasta and have outdoor seating for a date night,” you probably get worse results because you’ve made the query too specific for keyword matching.

    Google has an indexed database. It finds pages that match your keywords and ranks them by relevance. The simpler your query, the more matches it finds.

    AI works completely differently.

    AI generates responses based on understanding your task and context. It doesn’t search a database – it creates an answer tailored to your situation. The more context you provide, the more accurate and useful the response.

    How To Prompt AI

    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.

    Don’t Wait for Permission

    We’re at a remarkable moment in history. AI is powerful, accessible, and improving rapidly – but mass adoption hasn’t happened yet.

    Companies are warning employees but haven’t started widespread layoffs because they’re still uncertain about implementation. The technology exists, but organizational inertia, regulatory questions, and cultural resistance create a lag.

    This lag is your window of opportunity.

    In a year or two, being “AI First” might be table stakes – the minimum requirement rather than a competitive advantage. But right now, today, simply being willing to use AI seriously puts you ahead of the vast majority of workers.

    I’m not saying AI will always make perfect decisions. It won’t. Humans remain essential for judgment, creativity, ethics, and relationship-building. AI is a tool, not a replacement for human intelligence.

    Don’t limit yourself

    AI won’t cook you a dinner from the products in your fridge, but it can suggest you a recipe if you provide it with a photo of it, and calculate nutrients on top. It can become your personal trainer, psychologist, coach, financial adviser, skill teacher, language tutor, sparring-partner, co-founder, colleague for brainstorming ideas. Heck, it could even be your girlfriend or boyfriend – very popular application.

    But refusing to use this tool – pretending it doesn’t exist or hoping it goes away – is spectacularly short-sighted.

    The Industrial Revolution happened. Factory workers who adapted survived. Those who smashed machines and clung to old methods lost everything.

    The AI revolution is happening right now, just faster. Knowledge workers who adapt will thrive. Those who bury their heads in the sand will find themselves unemployed and unprepared.

    You have a choice. You always have a choice.

    Start today. Pick one task – just one – and try completing it with AI assistance. See what happens. Then tomorrow, try another.

    Build the habit. Develop the skill. Position yourself as someone who amplifies AI’s capabilities rather than competes against them.

    Because remember what Andrew Ng said: “People that use AI will replace people that don’t.”

    Make sure you’re on the right side of that equation.

  • Iterative Learning: The Feedback Loop That Accelerates Skill Acquisition [Part 2]

    Iterative Learning: The Feedback Loop That Accelerates Skill Acquisition [Part 2]

    You’ve chosen your real project. You’re building consistently, one hour every day. You’re learning just what you need, exactly when you need it.

    This will get you functional. But it won’t make you a master.

    The first three steps create the foundation. The next three steps create the multiplier effect – the difference between someone who can do something adequately and someone who’s genuinely skilled.

    These are the steps that accelerate your learning exponentially rather than linearly. They’re what separate hobbyists from professionals, beginners from experts.

    Let’s get into them.

    If you have no idea what I’m talking about here, you probably haven’t read the first two articles yet, so here they are:

    1. Why Learning by Doing Beats Traditional Education (And How Schools Keep Us Unprepared)
    2. The Only Learning By Doing Framework You Need To Master Any Skill [Part 1]

    Step 4: Share Publicly and Get Real Feedback

    Fourth step – share your project publicly, get feedback. Feedback is the key step. After building part of the project, even incomplete, there’s a term MVP (Minimum Viable Product) – a product with the minimum set of functions for use. It’s imperfect, without all the planned functions, but acceptable enough to try, touch, and give feedback.

    This is important, the most effective way to advance as a person. You get real data from the real world, not fantasies. Fantasies let you down, the brain protects you, deceives you that you’re doing everything right. You can imagine how great everything is, but real light will show something different. Don’t delay with feedback, no matter how uncomfortable it is.

    I recommend reading Mark Manson’s book “The Subtle Art of Not Giving a F*ck” – it will help you not care about others’ opinions. Post online, build in public, get feedback, like I do. I write articles, posts, sometimes it’s cringe, but people like them, comment, the material resonates with someone. This gives information about where to move. If material doesn’t get feedback, that’s also information – you’re doing something wrong. Set up a feedback loop, a cycle of feedback with the external world and people, to understand how the project works.

    Studies And Data On Sharing Progress

    A comprehensive analysis by researcher John Hattie found feedback had an effect size around 0.7-0.79, placing it among the top influences on student achievement. Immediate, specific feedback helps learners correct mistakes and refine techniques more efficiently.

    In workplace or practical projects, feedback from users or mentors enables iterative refinement. An early prototype receives criticism, and the creator learns and improves it. The principle of public sharing also has evidence: a 2013 study found that people sharing weight-loss progress on Twitter (back then) lost more weight than those who kept progress private. In that study, every 10 tweets posted corresponded to an additional 0.5% weight loss, indicating social feedback and support improved outcomes.

    The principle carries to skill learning: sharing progress publicly can provide encouragement, accountability pressure, and access to feedback from a community. Productivity research noted that declaring goals publicly makes individuals four times more likely to follow through, primarily due to accountability and social reinforcement.

    Without feedback, you’re flying blind. You might be practicing the wrong things. You might be reinforcing bad habits. You might be solving problems that don’t actually matter.

    Feedback gives you course correction. It tells you what’s working and what isn’t. It shows you the gap between what you think you’re doing and what you’re actually doing.

    The discomfort you feel when sharing imperfect work is a feature, not a bug. That discomfort means you care. It means the stakes are real. It means you’re learning for real, not just playing at learning.

    Step 5: Iterate and Improve

    Black-and-white portrait of Thomas Edison holding a glowing light bulb, symbolizing innovation and creative focus in career transformation

    “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.

    ANTIghostwriter btw is my content creation system that can help you consistently create a lot of content, and with the power of AI repurpose it for different platforms. If you’re building your personal or corporate brand, check it out, it will save you thousands of dollars on copywriting and days of precious time.

    Kaizen & Mastery

    The notion of continuous improvement is a cornerstone of skill mastery. Anders Ericsson’s research on expertise found that deliberate practice – which involves constant feedback and refinement – is what separates elite performers from others. Iteratively improving a project is essentially a form of deliberate practice: each iteration targets weaknesses from the previous attempt. Over time, these cycles produce significant skill gains.

    This aligns with the concept of “kaizen” (continuous improvement) in professional domains. There’s abundant qualitative evidence: writers produce multiple drafts to improve clarity, and each new draft incorporates lessons from the last. Software engineers release iterative versions (v1.0, v2.0, v.342.869453.974906857345) and in the process become more proficient.

    The key insight is this: your first version teaches you what your second version should be. Your second version teaches you what your third version should be. Each iteration builds on the lessons of the previous one.

    This is how expertise develops. Not through one perfect attempt, but through many imperfect attempts that gradually get better.

    Most people never get good at anything because they never get past version one. They build something once, decide it’s “good enough,” and move on. Or worse, they abandon it because it’s not perfect.

    Don’t do that.

    Commit to iteration. Commit to making each version better than the last. Not perfect – just better.

    After a year of this approach, you’ll look back at your early work and barely recognize it. The gap between where you started and where you are will be enormous. That’s not because you had some breakthrough moment. It’s because you improved a little bit, consistently, over and over again.

    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.

    How Does Teaching Work

    When you teach, you can’t hide behind vague understanding. You have to make things clear and concrete. You have to anticipate questions. You have to organize information in a logical sequence.

    This process reveals all the gaps in your own knowledge. Every time you struggle to explain something, you’ve found something you don’t actually understand as well as you thought. And now you know exactly what to go learn more deeply.

    Teaching also forces you to think about the subject from different angles. Different students have different questions, different confusions, different ways of thinking. Addressing those differences deepens your own understanding.

    And there’s a bonus: teaching builds your reputation and network. When you help others learn, they remember you, they value you, they want to work with you, learn from you, collaborate with you.

    You don’t need to be a world expert to teach. You just need to be one step ahead of the person you’re teaching. If you’ve spent a month learning something, you can teach someone who’s just starting. If you’ve spent a year, you can teach someone who’s spent a month.

    Start small. Write a blog post explaining something you just learned. Answer questions in online forums. Create a tutorial. Make a video. Help a friend who’s trying to learn what you know.

    The act of teaching will make you better at the thing you’re teaching. Guaranteed.

    The Complete Learning By Doing Framework

    Let me pull back and show you how all six steps work together as a system.

    1. Step 1: You choose a real project. This gives you direction and purpose.
    2. Step 2: You build consistently. This creates momentum and compounds your learning.
    3. Step 3: You learn just-in-time. This makes your learning efficient and contextual.
    4. Step 4: You get feedback. This shows you what’s working and what needs to change.
    5. Step 5: You iterate. This turns feedback into actual improvement.
    6. Step 6: You teach. This cements everything you’ve learned and reveals gaps.

    Then you loop back. You start a new project, or a new version of the same project. You build on what you learned, you seek new feedback, you iterate again, you teach more.

    Each cycle through this framework makes you more capable, builds on the previous one, and compounds your skills.

    This is how mastery develops. Not through one heroic effort, but through many small cycles of building, feedback, and improvement.

    And the beauty of this system is that it works for virtually any skill. Programming, writing, design, marketing, music, art, public speaking – the framework is the same.

    Real project, consistent building, just-in-time learning, public feedback, iterative improvement, teaching others.

    Do this for six months and you’ll be competent, do it for a year and you’ll be skilled, do it for several years and you’ll be an expert.

    Real-World Examples of This Framework in Action

    Consider Elon Musk. He learned rocket science not through formal schooling but by reading textbooks and immediately applying knowledge to design rockets. His approach with SpaceX involved rapid prototyping – build rockets, test them (sometimes to failure), learn from the errors, and iterate. Musk has said that “you can learn anything you need to know for free on the internet.” His case demonstrates how iterative practical experiments sped up his acquisition of expertise.

    students collaborating on a creative project at High Tech High, representing real-world iterative learning

    Look at High Tech High, a network of public charter schools in California known for project-based learning. Students learn through interdisciplinary projects – building underwater remotely operated vehicles in marine biology class or writing and publishing books in humanities. There are no AP exams or rote lectures; instead, students present their projects in public exhibitions. The result has been high levels of student engagement and strong college admission rates.

    Or consider the medical residency system, which is essentially “learn by doing.” After medical school, resident doctors spend years practicing in hospitals under supervision, gradually taking on more responsibility. The apprenticeship model is grounded in the belief that only hands-on experience with real patients can truly develop a doctor’s skills. Studies show that residents improve through repeated practice with feedback from attending physicians. The mantra is “see one, do one, teach one” – exactly this framework in action.

    These examples span different fields, different contexts, different skill levels. But they all follow the same pattern: real projects, consistent practice, feedback, iteration, teaching.

    What Holds Most People Back

    Now let me address the elephant in the room. Most people won’t actually do this.

    They’ll read this article, think “this makes sense,” and might even start a project. But they won’t finish, won’t iterate, won’t share publicly, won’t teach.

    Why not?

    Usually, it comes down to one of three fears:

    Fear of judgment

    • What if people think my work is bad?
    • What if they criticize me?
    • What if I look stupid?

    This is where Manson’s book helps. You need to not care about the opinions of people who aren’t in the arena with you. The only feedback that matters is from people who are actually doing the thing, or from the users who need what you’re building.

    Everyone else’s opinion is just noise. Ignore it.

    Fear of failure

    • What if I can’t do it?
    • What if I’m not talented enough?
    • What if I waste all this time and don’t get good?

    Here’s the truth: you will fail. Your first versions will be bad. You will waste time on approaches that don’t work.

    That’s not a possibility. That’s a guarantee.

    But that’s also how learning works. Every failure teaches you something. Every bad version shows you what good versions need. Every wasted hour builds pattern recognition that makes future hours more efficient.

    Life is a big experiment, a project. All people, successful or not, initially don’t understand what they’re doing. But over time they gather data, information, improve skills iteratively, gradually.

    Failure isn’t the opposite of success, but it’s the path to success.

    Fear of commitment

    • What if I start this and then can’t finish?
    • What if I get bored?
    • What if something else comes up?

    This is actually the most reasonable fear. You should be thoughtful about what you commit to. Your time and attention are finite.

    But here’s the thing: you don’t need to commit forever. You just need to commit to the next cycle. One project, one iteration, one teaching moment.

    After that, you can decide if you want to continue or pivot to something else.

    The framework doesn’t trap you. It gives you a structured way to learn quickly, so you can decide if this is something you want to pursue further.

    The Truth About Mastery

    Classical portrait of an elderly philosopher, linked to the idea that understanding comes from doing.

    “The essence of knowledge is, having it, to apply it; not having it, to confess your ignorance.”

    — Confucius (c. 5th century BC, Chinese philosopher, from the Analects)

    Let me end with this: there’s no secret to mastery, there’s no shortcut or hack that lets you skip the work.

    But there is a path. A clear, proven path that works for virtually any skill.

    1. Real project.
    2. Consistent building.
    3. Just-in-time learning.
    4. Public feedback.
    5. Iterative improvement.
    6. Teaching others.

    Six steps. Not complicated. But they require commitment.

    Every day you follow this framework, you get better, every cycle makes you more capable, every iteration builds on the last.

    And unlike traditional education, where you spend years studying before you can do anything useful, this framework lets you create value from day one. Your projects matter. Your learning has immediate application. Your skills develop in the context of real use.

    That’s the difference. That’s why this works when traditional approaches fail.

    So stop waiting, stop preparing, stop looking for the perfect course or the perfect moment.

    Choose your project. Block your hour. Start building.

    The world doesn’t need more people who know things in theory. It needs people who can actually build, create, and solve real problems.

    Become one of those people.

  • The Only Learning By Doing Framework You Need To Master Any Skill [Part 1]

    The Only Learning By Doing Framework You Need To Master Any Skill [Part 1]

    To learn a skill, for example programming, you need several things. The key thing is not to take a course or learn something formally. We had a programming course – they taught theory, how code works, algorithms, methods for solving problems. But when faced with a real task, I realized that not one methodology was needed or useful, and I didn’t know what to do specifically.

    How I discovered the following framework for myself by learning PHP, jQuery, and MySQL, you can read in my previous article.

    So how does it actually work? What actions should you take to learn a new skill?

    Let me break down the steps of how this process works, what actions to take to learn a new skill.

    Step 1: Choose a Project You’ll Actually Build

    First step. Choose a project that you’ll implement. A real project that you’ll show to people, not a test one, not for practice, but one that’s useful to someone. I don’t know another way to learn besides a real project. I learned programming from scratch by doing a task. I could have spent years reading books, theorizing, but without a real project, you won’t develop skills. The project must be real so you can get feedback. Otherwise you’re in a loop of self-admiration, showing the project to yourself, no one gives a fuckfeedback, and we know how to lie to ourselves. The brain produces the desired result. There’s no point doing a test project for yourself. It must be real, visible to people.

    The project doesn’t have to be as large-scale as my query system. Complex tasks accelerate learning – I learned the basics, and the rest of the tasks became simple, I cracked 80% of them like nuts. This helps.

    If you’re building a personal brand, the project could be an article, posts, a content creation system. Come up with a system you’ll use and share it. An article is also a project. Take advantage of the opportunity. Choose a project, the main thing is that it’s visible to people. Use the #BuildInPublic tag, share your findings.

    Research backs this up. Project-based learning has been shown to produce very large improvements in student mastery, with average effect sizes of 1.64 compared to traditional instruction. When students worked on rigorous projects in schools, they scored 8 percentage points higher on science assessments than peers in traditional classrooms. Projects provide context and application. Students make sense of why content is useful and how to apply it, leading to deeper learning that actually sticks.

    My Own Example In One-Person Business Career

    Since we talk about building in public, I want to walk the walk and show my first big project in the journey of creating a personal brand. I’m building it from scratch, know nothing about that except a ton of information consumed from the Internet, which is useless, as we know already: it has to be done as a real thing.

    So after several months of creating and publishing content, I finally refined my system and decided to package it as a guide that could have helped me without that experience. Creating this guide required gathering all the knowledge I have, all the resources I collected, and mastering the tools I use for that.

    I wrote the instructions for every step I take when creating content, described all the tools I use, and most importantly, AI models that help me refine all my content, repurpose it for different formats, and help with grammar since I’m not a native English speaker.

    That’s how I created ANTIghostwriter, my content creation system that you can use for building your own personal or corporate brand, check it out.

    Step 2: Start Building (And Keep Building Consistently)

    Black-and-white bust of Aristotle, Greek philosopher, associated with the idea that happiness depends on ourselves

    “For the things we have to learn before we can do them, we learn by doing them, e.g. men become builders by building.”

    — Aristotle (4th century BC, Greek philosopher):

    The next point – start building, begin implementing the project, and you’ll understand what to do. In the following steps I’ll write how the cycle works, but this step is unifying. After choosing the project, start building it, dedicate time to it, even if it’s small intervals, but to the project.

    The main thing is consistency, not intense bursts when you work 16 hours on a weekend. This seems productive, but then for a week you feel burnout, you don’t want to return to the project. It’s better to work one hour every day – the work is more productive. This has been proven by me and people who study productivity scientifically. Consistency is better than intense attempts. This is a marathon, not a sprint.

    Small regular efforts every day give a greater result, even if the time is less. The work is more productive, you try to fit more actions into the hour that move the project toward implementation.

    Research on the spacing effect shows that spreading practice over time yields dramatically better long-term retention than cramming everything into one session. Material studied in spaced, daily sessions is remembered for weeks or months longer than material crammed in one burst. In fact, spaced practice can roughly double long-term retention compared to the same total hours done all at once.

    A study on surgical training found that residents who had shorter, distributed practice sessions retained skills far better than those who only attended traditional lectures or one-time intensive training. This consistency principle applies across virtually every skill domain – from music to mathematics to coding.

    Step 3: Fill Knowledge Gaps As You Encounter Them

    Next point – fill gaps in knowledge. When I ran into not understanding a step, I opened the textbook and read. Textbooks are divided into sections by topics. I didn’t know how to connect to a database, I found the section “Connecting to a Database,” read it, applied it, moved on. Don’t look for information in advance – start doing, reach the moment when you don’t know what to do, and then get the knowledge.

    We’re lucky with the times. Decades ago I searched in textbooks, today you don’t even need to Google – there’s ChatGPT, you can ask and get a result. But you need to ask correctly to get a task or answer, which isn’t always accurate. For some skills you need a real course, but in 80% of cases the information is online for free.

    Look at the creator market, where people become experts in a skill and share with their audience. They make courses, but they publish most of it for free, then compile it into a course. Paid material is condensed knowledge, people pay for the convenience of aggregation. But the knowledge can be found for free, even from the same creator. Use this, fill gaps in knowledge.

    This just-in-time learning approach aligns with problem-based learning research, where students identify knowledge gaps during a project and then seek resources. This leads to more meaningful understanding because the theory immediately applies to a real problem you’re trying to solve.

    Studies on online learning show no significant difference in outcomes between free online resources and traditional courses for many subjects, supporting the idea that you can learn most things independently. The knowledge is out there – you just need to access it at the right moment, when you actually need it to solve your current problem.

    Why These Three Steps Form the Foundation

    black and white portrait of author Malcolm Gladwell emphasizing practice in skill development

    “Practice isn’t the thing you do once you’re good. It’s the thing you do that makes you good.”

    — Malcolm Gladwell (author, Outliers)

    These first three steps create the foundation for genuine skill acquisition. You’re not passively consuming information and hoping it sticks. You’re actively building something real, encountering actual problems, and solving them with targeted learning.

    This is fundamentally different from the traditional education model. Traditional education says: study everything first, do later. This framework says: do first, study only what you need, keep doing.

    The difference in effectiveness is massive. When you learn in context – when you’re solving a real problem for a real project – the knowledge becomes part of your working understanding. You’re not memorizing facts for a test, but integrating skills you can actually use.

    And the consistency piece ensures that knowledge compounds over time. Each day builds on the previous day. Each problem you solve makes the next problem slightly easier. Each gap you fill strengthens your overall understanding.

    Think of it like building muscle. You don’t build muscle by reading about weightlifting or by doing one massive workout and then resting for a month. You build muscle through consistent, regular training where each session creates small improvements that add up over time.

    Skill acquisition works the same way.

    The Real-World Evidence

    I found several examples to make sure it works not only for me.

    Medical residency programs. After medical school, resident doctors spend years practicing in hospitals under supervision, gradually taking on more responsibility. This apprenticeship model is grounded in the belief that only hands-on experience with real patients can truly develop a doctor’s skills. The mantra is “see one, do one, teach one” – they observe a procedure, then do it themselves many times, then teach juniors.

    Consider the German dual education system, a renowned example of practice-based learning on a national scale. Students in vocational tracks split time between classroom instruction and paid apprenticeships at companies. An apprentice electrician spends a couple days a week in class for theory, and the rest working at an electrical firm applying those skills. This system has produced a highly skilled workforce with low youth unemployment.

    Or look at École 42, an innovative tuition-free programming school with no classes or formal instructors. Students learn programming through peer-reviewed projects and practical coding challenges in a collaborative setting. The curriculum is entirely project-driven – from building simple programs to complex algorithms, students advance by completing projects and reviewing others’ work. Their high employment rate and coding proficiency by graduation support the effectiveness of this approach.

    These examples all share the same pattern: real projects, consistent practice, and learning what you need when you need it.

    What This Means for You Right Now

    black and white portrait of educator Maria Montessori known for hands-on learning philosophy

    “He does it with his hands, by experience, first in play and then through work. The hands are the instruments of man’s intelligence.”

    — Maria Montessori (20th century, Italian educator)

    So here’s where you are: you understand the first three steps of the framework. You know you need a real project, you need to work on it consistently, and you need to learn just-in-time rather than trying to learn everything upfront.

    The question is: will you actually do it?

    Most people won’t. Most people will read this, think “that makes sense,” and then go back to consuming more content about learning instead of actually learning by doing. They’ll sign up for another course. They’ll buy another book. They’ll watch another video about productivity.

    Don’t be most people.

    Here’s what to do instead:

    Before you close this article, decide on your project. What skill do you want to learn? What real thing could you build using that skill? Write it down. Make it specific.

    Then block off one hour in your calendar. Every single day, same time if possible. This is your building time.

    Tomorrow, during that hour, start building. Don’t prepare, don’t plan more, don’t research tools. Just open whatever you need and try to create the first tiny piece of your project. You will get stuck. That’s when you learn.

    That’s the process. Simple, but not easy.

    The Missing Multipliers

    Now, I’ll be honest with you. These first three steps will get you functional. They’ll take you from zero to competent. You’ll develop real, applicable skills.

    But they won’t make you a master.

    There are three more steps – three multipliers that accelerate your learning exponentially. These are the steps that separate people who can sort of do something from people who are genuinely skilled.

    • The fourth step is about getting feedback from the real world. How to share your work publicly, get honest responses, and use that information to improve rapidly.
    • The fifth step is about iterative improvement. How to take your first version and systematically make it better, incorporating everything you’ve learned.
    • The sixth step is about teaching others. Why teaching is the best way to cement your own learning, and how to start even when you feel like an imposter.

    These three steps create a feedback loop that multiplies your learning speed by orders of magnitude. They’re what transform consistent practice into genuine expertise.

    And I’m going to share all three in the next article.

    But you can’t skip to those steps. You have to start with these first three. You have to have a real project, to be building consistently, to be learning as you go.

    Because the next three steps only work if you’re already in motion.

    So get in motion.

    Choose your project today. Block your time. Start building tomorrow.

    When you’ve spent at least a week actually doing this – not just reading about it, but doing it – come back for part two.

    I’ll show you how to turn your practice into mastery faster than you thought possible.

  • Why Learning by Doing Beats Traditional Education (And How Schools Keep Us Unprepared)

    Why Learning by Doing Beats Traditional Education (And How Schools Keep Us Unprepared)

    Most of us went to school. And if not everyone, then at least we all asked ourselves this question at some point: why am I memorizing all these dates, formulas, and facts? Why do I need to know the chronology of events – revolutions and conquests that happened hundreds, even thousands of years ago, in countries where I don’t even live? Why do I need to understand how chemical compounds work or molecular interactions if I’m not planning to become a scientist and conduct research?

    These questions haunted not only me, but everyone who ever stopped to ask themselves: why am I doing this? What’s the point? Those moments of awareness when you question the purpose of your actions – those are some of the best questions you can ask yourself, your surroundings, or even into the void. Trying to find answers is how we gain new knowledge, how we open the door for it. When a question arises, you inevitably start searching for an answer. If you don’t find it immediately, it spins around in your subconscious until you find the answer either deliberately or by accident.

    Conform Or Face Unpredictability

    The classical education system was built a long time ago, decades in the past, and the school-university curriculum can’t keep up with the speed at which society and the surrounding landscape change. The frequency and volume of changes are so great that retraining teachers in schools or universities simply isn’t feasible. To teach, you first need to study to become a teacher, get an education, and only then start working.

    Good teachers are those who have experience, teaching talent, understanding of psychology, the ability to communicate with people – a set of skills that not everyone possesses. But we all go through school. Some drop out, some, like me, try to survive in this system, conform to the rules, get good grades, defend dissertations, all to guarantee a calm future.

    When that future arrives, when you enter the job market, it turns out that knowledge isn’t as necessary as you thought. This wasn’t entirely unexpected – we asked these questions before – but the paradox is that no one gives you answers, yet you still have to perform these actions despite the absence of reasons. No one knows anything better, there’s one scenario that everyone follows, and you have to follow it too.

    Especially when you don’t have weight and power in your words, you can’t resist the will of parents or your environment, which influences you so much that it’s scary to do anything outside the framework. You follow established norms.

    The Real Purpose of Education (That Nobody Tells You)

    Here’s what I’ve come to understand: education isn’t aimed so much at gaining knowledge as it is at training your brain. Exercises where you have to engage your cognitive abilities, think, remember – these shape your brain, your ways of thinking, your patterns. For example, solving geometric problems is built on algorithms. If you solve dozens of such problems, then when solving life problems, you might see a pattern and apply the algorithm. But we’re taught to solve problems, not the algorithms for solving them. You have to figure that out yourself. It’s not obvious, it’s not lying on the surface, and you understand it years later.

    Reading books expands your horizons, especially literature, and allows you to draw on centuries-old wisdom that great writers share through their immortal works.

    Mathematical or chemical problems develop logical thinking, allowing you to use skills to solve problems, which is training for the brain. In adulthood, you need to apply this same brain. If it’s been trained since childhood, when it’s plastic and forming, things will be easier for you.

    But for some reason, more than a decade has passed since I finished school, and I still have to justify it in your eyes and come up with ways that school helped me. At school, nobody knows about this, nobody talks about it, nobody explains it to students. They just present you with a fact: memorize these dates by tomorrow. For what purpose, why – even the teacher doesn’t know. Why these dates? Because they’re in the textbook approved by the Ministry of Education, which hasn’t changed in years.

    Did School Really Teach You Something?

    Portrait of an older man wearing round glasses, representing the philosophy of learning by doing.

    “Give the pupils something to do, not something to learn; and the doing is of such a nature as to demand thinking; learning naturally results.”

    — John Dewey (20th century, American educational reformer)

    Think back to your first real job after university or school, whichever came first for you. What skills or knowledge from school did you actually have to apply, what exercises done in school helped you solve problems that move the business or structure where you work forward, what abilities acquired in school helped you deal with deadlines, pressure from colleagues, client expectations, bill payments? I’m confident the number approaches zero.

    And here’s what the data shows: I’m not alone in this observation. According to a 2023 survey of 1,600 participants, 77% of recent college graduates said they learned more in six months on the job than in four years of college. Even more striking, 68% felt their degree did not provide the skills needed for their job. On the employer side, 75% of HR leaders believed colleges “aren’t preparing people at all” for workplace needs.

    The numbers don’t lie. There’s a massive gap between what schools teach and what real work demands.

    Living in a World the Education System Can’t Catch Up To

    Why did all this happen and why does it continue like this? Why do we live in a different world, one that changes every day, where there’s artificial intelligence that, together with robots, is actively replacing people, and soon not only physical but also mental professions will be performed not by humans? In a world where there’s the internet, where knowledge and information are freely available to anyone who can connect? Where there are more smartphones than people, and access to data has never been easier?

    In a world where information isn’t the new gold, but is so excessive that a new problem has emerged: information overload. Psychological disorders arise because the brain can’t cope with the flow, volume, and variety of data.

    These are theoretical questions, reflections, but I’ll lead you to this: on the internet, in data sources, there’s a lot that you can use to your advantage, to gain the skills you need independently. The system doesn’t choose for you what to study – you choose what skill holds you back, what you need to acquire to move forward.

    For everyone, this is their own set of knowledge. Freedom of choice gives almost unlimited opportunities to live and develop in the modern world, if you have access to the internet.

    When Real Learning Actually Begins

    Classical portrait of an elderly philosopher, linked to the idea that understanding comes from doing.

    “I hear and I forget. I see and I remember. I do and I understand.”

    — Confucius (c. 5th century BC, Chinese philosopher)

    I can’t help but recall an example from my own life. I was invited to work when I was in my second year of university. Due to peculiarities in my thinking and the fact that I enjoyed computers, which I got early in life, I was interested in programming. In programming classes, I did well, which my teacher noticed. She invited me to work at the university’s information center, which she managed, as a programmer. Without thinking long, I agreed.

    In my student years, the alternative was working in the service industry, where they paid more, but programming work appealed to me more because it gave prospects and experience by the time I graduated from university – a critical factor for finding work. I agreed and came to work my first day as a programmer.

    The first task they gave me was very different from what I’d done before. At university, they explained how to solve a problem, gave methods and templates, and by applying them I got the expected answer. Here it was different. My boss gave me a task: write a system.

    We were writing an information system for the university to maintain a database of students and applicants – a custom ERP system where all information about students was stored. There were user screens for managing information that was filled in when entering the university.

    A One Task And a Pile of Books

    My task: create a query system for the database that would be convenient for a simple user, so they could compose a query and get results in the form of a dynamic table, generated from the database of students and applicants.

    I’m staring at the computer screen, having written down the task formulation in my notebook, not understanding what to do or how to solve it. I didn’t know what a query system was or what an ERP system was. We only started studying these two courses later.

    I wasn’t working alone – I had a colleague who had been writing this system for a long time. The logical question to him: where do I start? He understood that I had no experience and handed me a set of books: about PHP, a textbook on SQL, and a textbook on JavaScript. Three huge thick books, more voluminous than many literary works we read in school.

    Listening to my colleague, I started reading, quickly realizing that I wouldn’t finish the task today. I clarified the deadline. The manager understood that the task was new for me, but without a deadline, it would never get done. She set a deadline – one and a half months. Considering working time, this should be enough.

    I have a deadline, three huge textbooks, and zero understanding of what to do.

    To be continued.

    The Moment Everything Changed

    So there I am, sitting in front of the computer, surrounded by textbooks, looking at the task I need to complete, not understanding which side to approach it from. I start reading textbooks, doing some basics. But I run into the first problem: I need to install a software environment to access the database. I need to have access to the server to upload executable files. We wrote in PHP, JavaScript helped with queries.

    Remember, this was a time when the internet wasn’t developed enough to find an answer to every question. There was no Stack Overflow where you could copy-paste code. Everything had to be written almost from scratch, which is what we did. I had a more experienced colleague, and I wasn’t shy about asking him questions. He showed me what programs he uses, what to install. I followed his advice, copied his experience.

    He showed me the foundation for my product. In the admin panel with database access, there’s a query system, convenient and flexible, allowing any query. My task – make the same thing for our database, an analog of this system. I started doing it. I have a sample, tools, a colleague I can ask, books from which to draw information.

    Then everything moves forward in iterations. I need to understand where the code begins. First, make a page with a connection to the database. I go to the book, see how it’s done, from the very beginning – that’s how any program in PHP starts, I figure out what a connection is, how the database works, I read the SQL book, connect, study the structure, and so on step by step.

    The Final Release

    By the appointed deadline, in one and a half months, from under my hands comes a finished product – a query system that we publish for users. The boss is satisfied, users not so much, because it’s complicated for them. I had to train them: I came to users, showed them how to use it, wrote instructions, posted them.

    This is where the real learning happened. Not in the classroom where we discussed theory. Not in the textbooks I skimmed. But in the doing. In the building. In the struggling and figuring it out as I went.

    And this aligns with what research has consistently shown: active learning – where students engage in practical problem-solving and hands-on activities – significantly outperforms passive lecturing. A landmark meta-analysis of 225 studies found that active learning improves exam performance by approximately 6% on average and reduces failure rates by over 10%. Students in project-based learning classes have been shown to score 8 percentage points higher on science assessments than their peers in traditional classrooms.

    The data confirms what I experienced firsthand: you don’t learn by listening. You learn by doing.

    From Zero to Hired: The Power of Real Projects

    Everything continued similarly after that. They’d give me a task, I’d complete it. Over 4 years of work at the university, by the time I graduated, I had decent experience in programming and developing information systems, real ones from day one. I learned to program in PHP, JavaScript, describe systems that real users actually used, get feedback, refine them, develop my skills.

    Later, I had no problems with hiring, since I wanted work in IT. As soon as my resume appeared online, calls started coming, invitations from companies. All I had to do was choose what I liked. This was in 2011 – now the market is different, but nevertheless.

    What’s the point of this story? To learn a skill, for example programming, you need several things. The key thing is not to take a course or learn something formally. We had a programming course – they taught theory, how code works, algorithms, methods for solving problems. But when faced with a real task, I realized that not one methodology was needed or useful, and I didn’t know what to do specifically.

    This is the fundamental problem with traditional education. It prepares you for tests and exams, not for actual work. It gives you theory without context, knowledge without application, information without meaning.

    And the consequences are staggering. Only 24% of recent college graduates felt they had all the skills needed for their current job. Nearly 96% of HR leaders said colleges should do more to prepare students for the workforce. The system is broken, and everyone knows it – except the system itself refuses to change.

    The Freedom to Choose Your Own Path

    But here’s the thing: you don’t need to wait for the system to fix itself and permission to start learning in a way that actually works. The internet has democratized knowledge in a way that was impossible even twenty years ago. The tools, the resources, the information – it’s all there, waiting for you to use it.

    In the modern world, for anyone with internet access, you have unprecedented freedom. Freedom to choose what skills to develop, freedom to learn at your own pace, freedom to build real things that matter, not just complete assignments for grades.

    You’re not trapped in a classroom anymore. You’re not dependent on outdated curricula or teachers who may not even work in the fields they’re teaching. You can find people who are doing the actual work, creating actual value, and learn from them directly.

    The content creators, the practitioners, the builders – they’re all out there sharing their knowledge. Many of them share the bulk of their expertise for free, then compile it into courses for those who want the convenience of organized information. But the knowledge itself is accessible, it’s yours for the taking.

    This is a profound shift in human history. For the first time ever, the barriers to learning have almost completely disappeared. The only barrier that remains is the one in your mind – the belief that you need formal education, that you need someone’s permission, that you need to go through the traditional system.

    You don’t.

    What This Means for You

    So let me ask you this: think back to your own education. Your time in school, in university if you went. What percentage of what you learned there do you actually use in your daily work? In your real life? In the problems you solve and the value you create?

    If you’re like most people, the answer makes you uncomfortable. Because deep down, you know the truth. You know that the most valuable skills you have – the ones that actually matter – you didn’t learn in a classroom. You learned them by doing. By building. By trying and failing and trying again.

    The question isn’t whether traditional education has failed us. The data makes that abundantly clear. The question is: what are you going to do about it?

    Because here’s the reality: you can spend years in classrooms, accumulating theoretical knowledge that may or may not ever prove useful. Or you can start today, right now, with a real project that teaches you exactly what you need to know, exactly when you need to know it.

    Sometimes it may be wise not to spend your own time on things that can be delegated or automated. That’s exactly what I was thinking about while creating my content creation system, which, with the help of AI tools, allows me to have more than 72+ content pieces per week without spending full-time on it. If you are building your personal or corporate brand, it may save you a ton of time and money. Check it out: ANTIghostwriter.

    Step-By-Step System Ahead

    Smiling older man with glasses and a beard, associated with hands-on learning principles.

    “You can’t learn riding a bicycle by attending a lecture. The good way to learn is to use it now.”

    — Seymour Papert (20th century, MIT professor and AI pioneer)

    In the next article, I’m going to share with you exactly how I did this. The specific steps I took to go from confused university student staring at three textbooks to confident programmer with companies calling me. The framework that worked for me, that’s worked for thousands of others, and that can work for you.

    It’s not complicated. It’s not mysterious. But it is different from everything you’ve been taught about how learning is supposed to work.

    And that’s exactly why it works.

    The traditional education system had its time and place. But that time has passed. The world has moved on. Information is no longer scarce – your attention is. Your time is. Your life is.

    Stop wasting it on learning methods designed for a world that no longer exists.

    There’s a better way. And I’m going to show you exactly what it is.

  • From Scattered Thoughts to System Design: How To Use Mind Mapping For Better Business Decisions

    From Scattered Thoughts to System Design: How To Use Mind Mapping For Better Business Decisions

    Information comes at us from everywhere. Market reports, client emails, team feedback, competitor analysis, industry news – it all piles up in a chaotic mess. We consume data through our senses constantly, and our brains work overtime trying to make sense of it all, connecting dots, finding patterns, and deciding what action to take next.

    But here’s the problem: when information stays fragmented and disorganized, our brains struggle. It’s like trying to swallow food without chewing it first. Sure, eventually your digestive system will break it down, but it’s slow, uncomfortable, and inefficient. The same thing happens with information. Your subconscious will eventually process scattered data and make connections, but why wait when you can speed up the process by simply chewing it?

    Think about the last time you faced a complex business decision. Maybe you were planning a new product launch, redesigning a workflow, or trying to understand a client’s scattered requirements. You probably had dozens of inputs – some contradictory, some incomplete, some just vague hunches. How did you organize it all? Did you make a list? Write paragraphs in a document? Or did you just keep it all swimming around in your head, hoping clarity would emerge?

    There’s a better way. For years, I’ve used a specific modeling technique that transforms chaos into clarity, especially when dealing with uncertainty and ill-defined systems. It’s called mind mapping, and it’s particularly powerful for business decision-making because it works with how your brain actually processes information, not against it.

    Let me show you exactly how this works and why it might be the missing piece in your decision-making toolkit.

    Why Lists and Linear Notes Fail Complex Thinking

    Before we dive into mind mapping, we need to understand why traditional approaches fall short. When you’re dealing with complex information, you’re essentially receiving data in a scattered, non-linear format. A client tells you about their problem, but they jump between topics. Market research gives you data points that don’t obviously connect. Your team raises concerns that seem unrelated to each other.

    Black and white portrait of a thought leader symbolizing systems thinking in business decision-making

    Your brain naturally wants to find relationships between these fragments. According to Peter Senge from MIT Sloan School of Management,

    “Business and human endeavors are systems. We tend to focus on snapshots of isolated parts of the system, and wonder why our deepest problems never get solved.”

    This is exactly what happens when we use linear note-taking or simple lists – we capture individual pieces but lose the connections between them.

    Research backs this up. Our minds work in a non-linear, associative fashion. Studies show that when we force information into linear formats like bullet-point lists or paragraph-based notes, we’re working against our brain’s natural processing style. One controlled study found that students who used mind maps to study a 600-word passage retained approximately 10% more facts in follow-up tests compared to those using traditional note-taking methods. More importantly, the mind mapping group showed better understanding, evidenced by higher-quality explanations and stronger ability to draw connections from the material.

    The difference becomes even more dramatic in business contexts. According to surveys of managers and knowledge workers, mind mapping software raises individual productivity by an average of 23%. Over half of users in Chuck Frey’s Mind Mapping Software Survey reported 20-30% increases in productivity, attributing it to clearer thinking and faster information retrieval. That’s the difference between spending three hours on a planning session versus two hours, or making a strategic decision in days instead of weeks.

    But the real power is about seeing the whole system at once.

    The Structure That Reveals Hidden Connections

    So what exactly is a mind map, and why does it work so well for business decisions?

    At its core, a mind map is a tree-like structure. You start with a central idea in the middle – let’s say “New Product Launch” or your client’s business name. From that center, branches radiate outward representing major categories or themes. From each of those branches, smaller branches extend representing sub-elements. It looks organic, like the branching of an actual tree, with a root, trunk, main branches, smaller branches, and finally leaves at the endpoints.

    This structure does something powerful: it displays hierarchy and relationships simultaneously. When you look at a mind map, you immediately see which elements are high-level and which are details. You see which items cluster together under the same parent concept. You see what’s connected and what’s isolated.

    Here’s what makes this different from other modeling approaches I’ve used. In traditional business process modeling – something like IDEF0 diagrams – you have to choose a specific level of abstraction before you start. These models are essentially flat, static photographs of a process at one moment in time, viewed from one perspective. If you want to see the system at a different level of detail, you need to create an entirely different diagram.

    Mind maps don’t have this limitation. Because of their hierarchical nature, you can capture multiple levels of abstraction on a single diagram. The top branches might represent departments or major functional areas, while branches several levels deep might show specific tasks or requirements. This means you can zoom in and zoom out conceptually without switching documents or losing context.

    Elements Interact With Each Other Within Systems

    Russell Ackoff portrait, systems thinking pioneer referenced in IDEF0 process mapping article

    Russell Ackoff, a pioneer in operations research, put it perfectly:

    “A system is never the sum of its parts; it’s the product of their interaction.”

    Mind maps force you to think about these interactions because every element visibly connects to others. You can’t just list items in isolation – you have to decide where each piece fits in the broader structure.

    When Cigna, the global insurance company, needed to communicate their strategy across the organization, they created strategy maps – essentially mind maps showing how different objectives connected in cause-and-effect relationships. Financial goals connected to customer outcomes, which connected to internal process improvements, which connected to employee training initiatives. By visualizing the strategy system on one page, Cigna’s leadership ensured all departments understood how their activities aligned with the big picture. The result was dramatically improved strategic execution and buy-in across thousands of employees.

    When Mind Maps Become Essential

    Mind mapping isn’t always necessary. If you’re working with well-defined, simple problems where the answer is clear, you don’t need it. But there’s a specific type of situation where mind maps become almost essential: when you’re dealing with uncertainty and ill-defined systems.

    Let me give you a concrete example from my own work. When I interview clients before starting a software development project, I often face a common challenge: the client doesn’t have a clear technical specification. They know they need a system, they can describe their business problems, but they haven’t fully thought through what the solution should look like or how all the pieces fit together.

    This is exactly where mind mapping shines. I start the interview with a blank mind map, placing the client’s business name or project goal in the center. Then, as they talk, I immediately begin adding nodes to the first level – anything and everything they mention. Features they want. Problems they’re solving. Users who will interact with the system. Data they need to track. Workflows they want to automate. Integrations with other tools.

    At first, these nodes are completely unorganized. They’re just scattered elements radiating from the center in whatever order they came up during conversation. I might have dozens of them by the time we’re 20 minutes into the discussion, and they don’t necessarily make sense together yet. This is what I call the “basket of mushrooms” approach – first, you gather everything without worrying about organization.

    But here’s where the magic happens. As we continue talking and I keep adding elements, I start to notice patterns. Oh, these three features are all related to the same user workflow. These five items are all about reporting functionality. These four nodes are actually describing the same concept from different angles.

    Speak One Language With The Client

    IDEO, the famous design and innovation firm, explains why this works:

    “Mindmaps can be a powerful way to come up with ideas or to gain clarity about a topic of exploration. We use them because they’re extremely versatile.”

    The versatility comes from the fact that you can start messy and refine as you go. Most business tools force you to be organized from the beginning, but mind mapping lets you embrace the chaos initially and find structure through the process.

    So during the interview, I start moving nodes around. I drag related items together and place them under common parent categories. I create new parent nodes when I realize several items share a theme. I spot gaps – when one branch feels sparse compared to others, or when something doesn’t quite connect to anything else, suggesting we’re missing information. The client can see all of this happening in real-time.

    By the end of a single interview session, we usually have a fairly complete map of the system. It shows all major functional areas, how they relate to each other, where the priorities are (indicated by the depth and density of branches), and what questions still need answers (shown by isolated nodes or sparse sections). Most importantly, both the client and I are looking at the exact same picture. There’s no ambiguity about whether we understand each other. The visual map becomes our shared language.

    Find The Common Ground

    Research from organizational development supports this approach. When Co-operators, a Canadian insurance company, needed to redesign their claims process to be more sustainable, they used systems mapping to bring together diverse stakeholders – internal teams, contractors, suppliers, customers. By creating a visual map of the entire claims ecosystem, they identified leverage points that weren’t obvious before. The result: cost savings from materials reuse, faster restoration times, and higher customer satisfaction, all without major new investments. The systems map helped internal teams and partners see the mutual benefits of the change, making implementation far smoother than typical restructuring projects.

    Visual models serve as what researchers call “shared reference points.” When complex ideas are rendered in a diagram that all participants can see and critique, rather than each person holding a different mental model, alignment happens naturally. As one Harvard Business Review article notes, systems thinkers engage stakeholders by iteratively reframing the problem in a visual way, helping people who experience a system’s dysfunctions differently to find common ground.

    The Practical Process: How to Actually Do This

    Let me walk you through the specific technique I use, because the theory only matters if you can apply it.

    Step 1: Start with the core

    Put your central topic in the middle of your canvas. This could be a project name, a business problem, a client’s company, or a strategic decision you’re making. Keep it simple – just a few words. This becomes your root.

    Step 2: Brain dump everything to the first level

    Don’t organize yet. Just capture. As information comes in – from a conversation, from your own thinking, from documents you’re reviewing – add nodes directly connected to the center. You might end up with 20, 30, 50 first-level nodes. That’s fine. They’re not in any particular order yet. You’re just getting everything visible.

    Step 3: Start noticing relationships

    Once you have a substantial collection of elements, patterns will begin to emerge. You’ll notice that certain items feel related. Maybe they’re all about the same functional area. Maybe they represent different aspects of the same user need. Maybe they’re sequential steps in a process.

    Step 4: Create hierarchy

    This is where mind mapping tools really shine. Take those related nodes and drag them under new parent nodes that describe what unites them. For example, if you have nodes for “email notifications,” “SMS alerts,” and “in-app messages,” you might create a parent node called “Communication Channels” and nest those three items beneath it. Suddenly, those scattered elements have structure.

    Step 5: Keep expanding and refining

    As you continue working, you’ll add detail to specific branches. You might break “email notifications” down further into “welcome emails,” “reminder emails,” and “summary reports.” You’ll also discover gaps. If one major area of your map has deep, detailed branches but another area is suspiciously sparse, that’s a signal you need more information there.

    Step 6: Use the map for decision-making

    Once your map is reasonably complete, you can use it in multiple ways. You can identify priorities by looking at which branches are most developed or most critical. You can spot dependencies by seeing which elements need to be completed before others. You can find simplification opportunities by noticing overcomplicated areas. You can even identify what you don’t know yet – the gaps that need research or discussion.

    The beauty of this process is that it works for many different business scenarios beyond client interviews.

    • Need to plan a project? Start with the project goal in the center and map out all workstreams, dependencies, resources, and risks.
    • Trying to understand a competitor? Put their company name in the center and branch out into their products, market positioning, strengths, weaknesses, and strategic moves.
    • Designing an organizational structure? Map departments, roles, reporting relationships, and information flows.

    One government agency used exactly this approach during a reorganization. They created what they called a “rich picture – essentially a detailed systems map – showing the current state of their directorate’s structure, information flows, pain points, and stakeholder relationships. This visual map revealed silos and redundant processes that weren’t obvious from traditional org charts. By involving managers in building the map, the agency fostered shared understanding of a complex system. The UK Government reports that such systems maps “brought together diverse stakeholders” and enabled them to agree on changes collectively, which was critical in making the reorganization successful.

    Beyond the Basics: Multiple Maps and Perspectives

    Here’s something I’ve learned from extensive use: you often need more than one mind map for complex situations.

    During that client interview I mentioned earlier, I might actually create two separate maps simultaneously. One map shows the functional structure – what the system does, how features connect, what workflows look like. The other map shows the organizational structure – which departments are involved, where each employee fits, how teams collaborate, what approvals are needed.

    These maps serve different purposes but inform each other. The functional map helps with technical design and development priorities. The organizational map helps with change management, training plans, and stakeholder communication. Looking at both together often reveals insights that neither shows alone – like when you realize that a particular feature requires coordination between two departments that don’t usually work together, signaling a potential implementation challenge.

    This mirrors how major companies use visual thinking tools. Atlassian, makers of project management software (Jira, Confluence, etc.), confirm that mind maps are “extremely versatile” in strategic ideation, helping teams dissect problems and find innovative solutions collaboratively. They report that cross-functional workshops using mind maps generate and organize hundreds of ideas, then cluster them into themes – performance, user experience, analytics – for systematic evaluation.

    Dan Roam, a visual thinking expert and author, puts it simply:

    “Drawing isn’t an artistic process; drawing is a thinking process. If you want to think more clearly about an idea, draw it.”

    This applies whether you’re drawing with pen and paper or using digital mind mapping tools. The act of externalizing your thoughts into a visual structure forces clarity that purely mental or purely textual thinking doesn’t achieve.

    The Cognitive Science Behind Why This Works

    You might be wondering why mind mapping has these effects. The research is actually quite clear.

    Our brains are fundamentally associative and visual. We remember images better than words. We understand spatial relationships intuitively. We recognize patterns through visual processing faster than through logical analysis. Mind mapping leverages all of these natural cognitive strengths.

    Studies in educational settings consistently show these benefits. One experiment with medical students found that those using mind maps generated more original diagnostic ideas for clinical cases than peers who didn’t, showing statistically significant improvements in creative problem-solving ability. Another study demonstrated that participants who created mind maps of a text passage had significantly better recall 30 minutes later compared to those who didn’t, indicating faster absorption and better retention of information.

    The numbers add up in business contexts too. According to Project Management Institute research, mind mapping can increase learning and retention by up to 95% compared to linear note-taking in optimal conditions. While that figure likely represents best-case scenarios, even more modest improvements of 15-20% make substantial differences when you’re dealing with complex decisions involving thousands or millions of dollars.

    Black and white portrait of a creative strategist symbolizing the use of mind mapping for innovation

    Tom Wujec, a technology executive and visualization expert, explains it this way:

    “When you doodle an image that captures the essence of an idea, you not only remember it, but you also help other people understand and act on it.”

    The dual benefit – better personal cognition and better group communication – is exactly what makes mind mapping so powerful for business decision-making.

    There’s also the simple fact that mind mapping offloads cognitive work. W. Edwards Deming, the quality management pioneer, famously observed that 94% of quality issues in workplaces stem from the system – processes and structure – while only 6% come from individuals. Mind mapping helps you see and improve those systems rather than just reacting to surface-level symptoms. Organizations that adopted systems thinking approaches, like Toyota under Deming’s influence, dramatically improved quality and decision-making by focusing on system-wide improvements visible through process mapping.

    From Chaos to Clarity in Real Time

    The fundamental problem we started with hasn’t changed: information comes at us in fragments, from multiple sources, often contradictory or incomplete. Our natural tendency is to either get overwhelmed by the chaos or to oversimplify by ignoring complexity.

    Mind mapping offers a middle path. It acknowledges the messiness of real-world information while providing a method to organize it systematically. It speeds up the “digestion” process – to return to that food metaphor – by helping you break down, structure, and integrate scattered data before your subconscious even gets involved.

    The evidence supports this approach across multiple dimensions.

    • Mind maps improve memory retention by 10-15% on average.
    • They boost productivity by roughly 20-30% for most users.
    • They enhance creative problem-solving, as demonstrated in multiple research studies.
    • They improve stakeholder alignment and shared understanding, as shown in cases from insurance companies to government agencies to tech startups.
    • Most importantly, they lead to better decisions by forcing you to see systems holistically rather than focusing on isolated parts.
    Black and white portrait of a systems thinker symbolizing holistic decision-making in organizations

    As Donella Meadows, the renowned systems scientist, advised:

    “Remember, always, that everything you know, and everything everyone knows, is only a model. Get your model out there where it can be viewed. Invite others to challenge your assumptions and add their own.”

    Mind mapping does exactly this – it externalizes your mental model, makes it visible to yourself and others, and creates space for collaborative refinement.

    Don’t Do Lists

    The next time you face a complex business decision, resist the urge to just think harder or make longer lists. Instead, open a blank page – digital or physical – and start mapping.

    1. Put the core challenge in the center.
    2. Branch out with everything you know, everything you need to know, and everything you’re uncertain about.
    3. Look for patterns. Create structure. Identify gaps.
    4. Share it with your team or stakeholders.
    5. Watch how the conversation shifts when everyone can literally see the whole picture at once.

    You’ll find that clarity emerges not from having all the answers immediately, but from organizing the questions, data, and relationships in a way your brain can actually work with. That’s the real power of mind mapping for business decisions – it transforms scattered thoughts into system design, and confusion into actionable insight.

    Start with your next complex challenge. You might be surprised how quickly the fog lifts when you map your way through it.

  • The $100K Product in Your Head: Packaging Your Knowledge for Profit

    The $100K Product in Your Head: Packaging Your Knowledge for Profit

    From Knowledge to Digital Assets

    In my previous article, I shared the foundation of building a personal brand business – creating content that attracts an audience with interests similar to yours. Now let’s talk about the next critical step: turning your knowledge into digital products that can generate significant revenue.

    To be completely transparent, I’m still in the process of developing my own digital products. I’m not speaking as someone who’s already built a million-dollar information business. Instead, I’m sharing what I’ve learned while researching and implementing these strategies myself. Think of this as me documenting my journey in real time, with all the insights and uncertainties that entails.

    The concept of “a $100,000 product in your head” is a real possibility in today’s digital economy. The knowledge and experience you’ve gained, the skills you’ve developed, the obstacles you’ve overcome – these assets can be packaged into digital products that solve specific problems for specific people.

    Digital products are particularly well-suited for personal brand businesses because they offer extraordinary margins and scalability. Unlike physical products that require manufacturing and shipping for each sale, digital products are created once and can be sold countless times with minimal additional costs. This creates a powerful economic engine that can support a thriving one-person business.

    Let’s explore how to identify, create, and package digital products that deliver real value – the kind that can potentially generate that “$100K” referenced in the title.

    Why Digital Products Are the Perfect Fit

    Digital information products are the most straightforward way to monetize a personal brand. They’re high-margin, infinitely scalable, and directly leverage your existing knowledge.

    What exactly are digital products? They include:

    • Online courses (both self-paced and cohort-based)
    • E-books and digital guides
    • Templates and toolkits
    • Membership sites with exclusive content
    • Paid newsletters or communities
    • Downloadable software or apps
    • Digital art or media files

    The market for these products is massive and growing like crazy. The global e-learning market alone was estimated around $399 billion in 2022 and is projected to reach $1 trillion by 2032. Over 220 million people enrolled in online courses in 2023 – a 31% increase from the previous year. People are increasingly willing to pay for knowledge delivered in convenient digital formats.

    What makes digital products so attractive from a business perspective? The economics of it. After covering the initial creation costs (your time and possibly some platform fees), the marginal cost of selling another copy approaches zero. Whether you sell 10 copies or 10,000, the delivery cost remains virtually unchanged.

    Let’s Count Some Numbers

    Black-and-white close-up portrait of Naval Ravikant looking serious, symbolizing wisdom in building one-person businesses

    This scalability creates leverage that traditional service-based businesses can’t match. As Naval Ravikant puts it:

    “Figure out what you’re uniquely good at and apply as much leverage as possible.”

    Digital products allow you to productize yourself – stamp your knowledge out a million times in the form of a course, book, or template, so making money isn’t a direct trade of time.

    Let me share some realistic numbers. If you create a $200 online course and sell just 500 copies in a year (about 40 per month), that’s $100,000 in revenue with minimal ongoing costs. Even a modest $50 e-book selling 2,000 copies generates a substantial side income. And many digital entrepreneurs create multiple products over time, building a portfolio that provides diverse revenue streams.

    Of course, I need to be honest about the challenges too. While the potential is real, most creators earn modestly. Industry research shows that over half of full-time creators earn under $50,000 annually, and only the top few percent exceed six figures. Success requires both quality content and effective marketing – neither of which happens overnight.

    But don’t let these statistics discourage you. Many successful digital product creators started small, with simple offerings that evolved over time. The key is to begin the journey with a focus on providing genuine value to your audience.

    Finding Your First Digital Product

    One of the biggest hurdles in creating digital products is figuring out what to create in the first place. I’ve struggled with this myself, often thinking “everything has already been done” or “I’m not enough of an expert yet.”

    Here’s what I’ve realized: you don’t need a completely novel concept or guru-level expertise to create a valuable digital product. You just need to solve a specific problem for a specific group of people, drawing on your own experiences and knowledge.

    Start by asking yourself these questions:

    • What transformation have I experienced in my life or career?
    • What obstacles did I overcome to get where I am?
    • What systems or frameworks have I developed for myself?
    • What do people regularly ask me for advice about?
    • What skills have I developed that others might want to learn?

    The answers to these questions point toward potential product ideas. Remember that your own journey from Point A to Point B contains valuable lessons – the very information that can help others make similar progress.

    For example, I’ve developed a system for organizing and creating content that helps me produce these articles consistently. This system isn’t something new: every content creator has their own one, but it works for me, and I’ve realized it could help others struggling with similar challenges. That’s a product right there – my personal content creation framework packaged into a course with templates, AI prompts and corresponding instructions, which I called ANTIghostwriter – check it out here.

    Keep It Simple

    Here’s something important I’ve learned: the best products often aren’t the most original ideas but rather effective organizations of existing knowledge. People don’t necessarily pay for raw information anymore (that’s widely available for free), but they do pay for:

    • Curation and organization
    • Specific, actionable frameworks
    • Step-by-step implementation guidance
    • Shortcuts that save time and energy
    • Community and accountability

    This explains why courses on topics like “how to use Instagram” can sell well despite countless free tutorials online. The value isn’t in the raw information but in the structure, sequencing, and support.

    I used to think I needed some groundbreaking new concept to create a successful product. Now I understand that taking knowledge that helped me progress and organizing it into a clear, structured format creates genuine value, even if similar information exists elsewhere.

    One worry that held me back was the feeling that “every second person online is a guru” selling courses. There’s definitely skepticism around online courses, and some of it is warranted. But I’m not trying to position myself as an all-knowing guru – just someone who’s figured out some useful approaches and is willing to share them.

    As I wrote in the first article, you don’t need to be the ultimate expert in your field. You just need to be a few steps ahead of your audience, with valuable insights from your own journey. Transparency about what you know (and don’t know) actually builds more trust than exaggerated claims of expertise.

    Market validation is crucial before investing heavily in product creation. Test your ideas through:

    • Creating free content on the topic and measuring engagement
    • Surveying your audience about their challenges
    • Offering a paid workshop or mini-product as a test run
    • Pre-selling your product before creating it (with a clear timeline)

    These approaches help ensure you’re creating something people actually want, rather than something you assume they need.

    Creating Products That Transform

    The most successful digital products deliver real transformation – they help people move from a “before” state to a desired “after” state. This transformation principle should be at the heart of your product development.

    For example, a fitness course doesn’t just deliver workout routines; it transforms someone from feeling unhealthy and insecure to feeling strong and confident. A productivity course doesn’t just offer time management tips; it transforms someone from overwhelmed and scattered to organized and in control.

    When designing your product, clearly define:

    • The “before” state: What problem or pain point does your audience currently experience?
    • The “after” state: What specific outcome or transformation will your product deliver?
    • The journey between: What specific steps, tools, or frameworks will guide this transformation?

    The clearer you are about this transformation, the more compelling your product becomes. Research shows that using before-and-after scenarios in marketing can increase engagement by 83%. When people can envision the transformation, they’re more likely to invest in making it happen.

    Now, about the actual creation process. Digital products come in various formats, each with strengths and considerations:

    Online Courses

    Courses are popular because they provide structured learning experiences. They can range from simple video series to comprehensive programs with assignments, community components, and direct feedback.

    When creating a course, consider:

    • Self-paced vs. cohort-based: Self-paced courses are more scalable but have lower completion rates (typically 10-15%). Cohort-based courses with live components and community support see much higher completion rates (often 70%+) but require more ongoing involvement from you.
    • Production quality: While professional production helps, content value matters more than perfect lighting or audio. Don’t let production concerns prevent you from starting. Although it was my mistake in my first product: I received feedback from my first students about the bad quality of my screenshare videos, so I reshot all of them.

    Platform choice: Options range from hosted platforms like Stan.Store (in my case) Teachable and Kajabi (easier but with fees) to self-hosted solutions (more control but more technical work).

    E-books and Guides

    E-books have lower barriers to creation and typically lower price points. They’re excellent entry-level products or complementary offerings to more expensive courses.

    Tips for effective e-books:

    • Focus on solving a specific problem rather than covering broad topics
    • Include actionable worksheets, templates, or exercises
    • Design for skimmability with clear sections and callouts
    • Consider offering audio versions for additional value

    Membership Sites and Communities

    Recurring subscription models create predictable income and ongoing relationships with customers. They work well when your value proposition includes regularly updated content or community interaction.

    Effective membership sites typically include:

    • Regular new content (articles, videos, tools)
    • Community components (forums, live Q&As)
    • Exclusive resources or early access
    • Personal interaction with you as the creator

    No matter which format you choose, the key is adding value beyond what’s freely available. Remember that people pay for convenience, organization, and results – not just information.

    An important insight I’ve gained: your product doesn’t need to contain information that’s completely unavailable elsewhere. This may be the same content, but distilled and served on a platter. The curation, organization, and presentation create value that people are willing to pay for.

    Also, consider creating different tiers of offerings. Many successful digital product businesses have entry-level products (like a $29 e-book), mid-range options (like a $299 course), and premium offerings (like a $999 coaching program). This creates multiple entry points for customers at different commitment levels.

    From Creation to Launch

    Creating the product is only half the battle. How you package and present it determines whether people will actually buy it.

    The most compelling digital products:

    • Have clear, specific titles that communicate the transformation
    • Show concrete evidence of results (case studies, testimonials, before/after examples)
    • Outline exactly what’s included (modules, bonuses, support)
    • Address common objections or concerns upfront
    • Offer some form of assurance (guarantees, previews, or samples)

    Pricing is always a challenge for first-time creators. Many undervalue their products, thinking lower prices will attract more customers. But pricing too low can actually reduce perceived value. Consider the transformation your product delivers – what is that worth to your ideal customer? A course that helps someone increase their income by $10,000 is worth far more than $50, regardless of how much it cost you to create.

    When launching your product, leverage your existing content platforms. Your regular content builds awareness and trust, while special launch content (like webinars, challenges, or limited-time bonuses) creates urgency and excitement. And yes, in 2025 all these stuff still works by the way.

    As for platforms, there are many options for hosting and selling digital products:

    • Course platforms like Stan.Store, Teachable, Kajabi, or Podia
    • E-commerce solutions like Gumroad or SendOwl
    • Membership platforms like Circle or Mighty Networks
    • Email marketing tools with payment integrations

    Each has different features and fee structures, so research what best fits your needs and technical comfort level.

    I’m personally using Stan.Store for hosting my ANTIghostriter course, for Newsletter and growing my email base I use both Subsctack and Beehiiv.

    The Journey Ahead

    Creating digital products is both an art and a science. It requires understanding your audience’s needs, packaging your knowledge effectively, and marketing your offerings persuasively.

    I want to emphasize that this isn’t a get-rich-quick scheme. Building successful digital products takes time, experimentation, and continuous improvement. Your first product probably won’t be perfect – and that’s okay. Each iteration brings you closer to products that truly resonate with your audience.

    Start small if you’re intimidated. A mini-course or short guide can be created in weeks rather than months, allowing you to test the waters without overwhelming yourself. As you gain confidence and feedback, you can expand into more comprehensive offerings.

    In the next article in this series, we’ll dive into monetization strategies and transformation marketing – how to actually sell your digital products once they’re created. We’ll explore how to craft compelling marketing messages, build sales funnels, and use the power of transformation stories to convert audience members into customers.

    For now, I encourage you to begin planning your first digital product. What knowledge do you have that others would find valuable? What transformation can you help them achieve? Start organizing your thoughts, testing ideas with your audience, and mapping out the journey from their current state to their desired outcome.

    Remember that the $100,000 product might already exist in your head – you just need to extract it, structure it, and share it with the world. I’m right there with you on this journey, and I look forward to sharing more insights as we progress together.

  • The $100K Product in Your Head: Building a Personal Brand Business

    The $100K Product in Your Head: Building a Personal Brand Business

    The Journey Begins Where You Are

    Let me share something important right away – I’m not a successful personal brand guru. I don’t have millions of followers, and I haven’t built a massive online business yet. I’m in the process of building my own personal brand right now, just like many of you might be thinking about doing.

    What I am doing is gathering knowledge, testing approaches, and documenting what I learn along the way. This article is a synthesis of the information I’ve collected so far about building a personal brand business. I’m sharing it because I believe in building in public – showing my work as it happens, not just the finished product.

    The core concept we’re exploring today is what I call “the $100,000 product in your head.” This is a business model centered on monetizing the knowledge, skills, and experience you already possess – things no one can take away from you. It’s about creating a business built entirely around your personal brand, where you become the product people want to learn from.

    A personal brand business gives you independence. You don’t need employees, investors, or even physical products. You just need an internet connection and the courage to share what you know. Plus, when built correctly, a personal brand creates a unique position in the market that isn’t easily replicated by competitors.

    In this series of articles, I’ll share what I’m learning about building such a business. Today, we’ll focus on the fundamentals – what a personal brand business is, how content creates your audience, and how to identify your unique value. In future articles, we’ll explore digital product creation and monetization strategies.

    Remember, I’m figuring this out alongside you. So this is a practical knowledge from someone in the trenches, learning and applying these ideas in real time.

    The One-Person Brand: A Business Model for the Digital Age

    A personal brand business, or one-person brand, is a business model where you build your brand around content you publish online. This content attracts people with interests similar to yours, who connect with your unique perspective and experiences.

    The core idea is simple: you create content that resonates with people, build an audience around that content, and then monetize by creating products that help that audience solve specific problems or achieve specific goals.

    What makes this model so powerful? First, it’s accessible to virtually anyone with internet access. You don’t need special credentials, startup capital, or anyone’s permission. Second, it allows you to build a business around your authentic self – your interests, experiences, and unique voice.

    I’m particularly drawn to this model because it leverages what you already have. As I wrote in a previous article about personal branding, you are the unique foundation for this type of business. No one else has your exact combination of experiences, knowledge, and perspective.

    This uniqueness creates a natural moat around your business. According to research from DSMN8, 74% of Americans are more likely to trust someone with an established personal brand over a corporate entity. This trust translates directly into purchasing decisions – 67% of consumers report they would spend more money with a company whose founder’s values align with their own.

    The data is clear: personal brands have power in today’s economy. The creator economy – individuals monetizing their expertise online – was valued at around $250 billion in 2023 and is expected to more than double by 2027. That’s a massive market opportunity.

    However, I want to be realistic here. While the opportunity exists, success isn’t guaranteed. Studies show only about 4% of creators earn over $100,000 annually, making such professional incomes “the exception, not the rule.” Building a personal brand takes time, consistent effort, and strategic thinking.

    But this doesn’t mean you shouldn’t try. Many successful personal brands started small and grew steadily over time. The key is starting the journey with realistic expectations and a commitment to providing genuine value to your audience.

    Content as Your Growth Engine

    At the heart of any personal brand business is content. Content is how people discover you, how they learn to trust you, and ultimately, how they decide whether to buy from you.

    That content creation serves multiple purposes. It helps to clarify thinking, build an audience, and test ideas before investing heavily in product development. It’s both marketing and market research wrapped into one activity.

    Your content strategy should include both tools for growth and tools for depth. Growth tools are platforms like social media that help you expand your reach. Depth tools are long-form formats like blogs, newsletters, or extended videos where you can explore ideas more thoroughly.

    I’m focusing on both approaches in my own brand-building efforts. Short-form content helps me connect with new people, while longer articles like this one allow me to demonstrate expertise and build deeper relationships with you guys (I hope at least).

    The audience you attract through content becomes the foundation of your business. These are people who resonate with your ideas and approach. Some portion of them will have goals similar to yours, which creates natural opportunities for monetization.

    Choose consistency over perfection

    Black-and-white headshot of Joe Pulizzi, founder of Content Marketing Institute and personal branding advocate

    This audience-first approach is supported by marketing experts. Joe Pulizzi, founder of the Content Marketing Institute, emphasizes that

    “the absolute best way to start and grow a business today is not by launching or pushing products, but by creating a system to attract, build, and retain an audience.”

    Research confirms this strategy works. Content marketing generates three times more leads than traditional advertising while costing 62% less. Email marketing – a common channel for personal brands to monetize their audience – has an average ROI of 38:1 ($38 earned for every $1 spent).

    When building your content strategy, focus on consistency over perfection. You don’t need to produce masterpieces – you need to show up regularly with valuable insights that help your audience. As you create content, you’ll naturally improve, and your audience will grow with you.

    The beautiful thing about this approach is that your content becomes a business asset. Everything you create adds to your body of work and continues attracting new people to your brand. Unlike traditional advertising that stops working when you stop paying, content can continue working for you for years.

    I’m currently implementing this strategy myself – building my audience through consistent content. This patience is difficult but essential; successful personal brands typically spend months or even years creating value before introducing paid offerings, although I already have my digital products.

    Finding Your Unique Value Proposition

    How do you determine what content to create and what products to offer? This is where the concept of being your own target audience becomes incredibly powerful.

    One of the most valuable insights I’ve gathered is to look at your own journey as a roadmap. Consider what knowledge or skills you’ve acquired that others might find valuable. Ask yourself: “What transformation have I experienced? What did I learn along the way?”

    The key is identifying the gap between who you were before and who you are now. What knowledge helped you bridge that gap? What resources did you wish existed when you were starting? These questions point toward potential products.

    This approach simplifies the often complex process of identifying market needs. Instead of guessing what others might want, you reflect on what would have helped your past self. If others are on a similar journey, they’ll likely value the same solutions.

    A powerful way to communicate this value is through the transformation principle – showing the before and after states. Fitness influencers use this effectively with before/after photos, but it works in any field. Transformation marketing creates an 83% increase in engagement according to one analysis by ShapeScale. When people see evidence of change, they’re naturally drawn to learn how it happened.

    Structure your current knowledge

    You don’t need to be the world’s foremost expert in your field to provide value. You only need to be a few steps ahead of your audience. As I’m finding in my own journey, being transparent about still learning actually increases authenticity and trust. The “I’m figuring this out too” approach can be more relatable than presenting yourself as an infallible guru. I hope this message translates through my content clearly, but I still get those comments here and there that I position myself as a “business guru,” which is quite funny to read.

    Let me share a practical exercise you can use to identify your value: Create three columns on a piece of paper.

    • In the first, list areas where you’ve achieved some level of success or transformation.
    • In the second, note what specific knowledge or skills helped you get there.
    • In the third, write down what format might best deliver this value to others (course, ebook, coaching, etc.).

    For example, in my case, I’ve developed methods for structuring and organizing content creation using AI. This system helps me produce consistent, high-quality content more efficiently. I realized this could be valuable to others struggling with content organization, so I’m developing it as one of my first products: you can check it out here.

    Another approach is to pay attention to questions people frequently ask you. What do friends, colleagues, or followers want to know about your expertise? These questions often reveal product opportunities.

    Remember that your first product doesn’t have to be revolutionary or entirely unique. Many successful digital products simply organize existing knowledge in a more accessible format. People pay for convenience, structure, and results – not just raw information.

    Black and white portrait of Seth Godin, marketing thinker emphasizing trust and storytelling

    As marketing expert Seth Godin says,

    “People do not buy goods and services. They buy relations, stories, and magic.”

    Your personal story of transformation becomes part of what makes your offerings compelling, even in a crowded marketplace.

    Next Steps on the Personal Brand Journey

    Building a personal brand business is a marathon, not a sprint. Start by creating content consistently, focusing on topics where you have genuine insight or experience. This content builds your audience while helping you refine your voice and discover what resonates.

    As you build, remember that authenticity trumps perfection. Share your real journey, including the struggles and learning moments. This transparency creates connection and distinguishes you from polished corporate brands.

    The foundation we’ve covered today – understanding the personal brand model, creating valuable content, and identifying your unique value – sets the stage for monetization through digital products.

    In the next article in this series, we’ll explore how to create digital products based on your expertise. I’ll share the different types of digital products you can create, how to package your knowledge effectively, and strategies for ensuring your products deliver real transformation.

    For now, I encourage you to begin inventorying your knowledge and experiences. What have you learned that others would find valuable? What transformation have you undergone that you could help others achieve? Start creating content around these topics, and you’ll be taking the first steps toward building your own personal brand business.

    Remember, the $100,000 product might already exist in your head – you just need to recognize it and share it with the world. I’m on this journey too, and I’ll continue sharing what I learn along the way.

  • The Science and Philosophy of Happiness: The Inner Path to Contentment

    The Science and Philosophy of Happiness: The Inner Path to Contentment

    This is Part 2 of a 3-part series exploring the foundations of happiness.

    In the first article of this series, we explored why dopamine-driven happiness is ultimately unsustainable. We examined how our brain’s reward system works and why external stimulation alone can’t provide lasting contentment. Now it’s time to look inward and understand a deeper, more sustainable form of happiness.

    If external triggers and neurochemical highs don’t create lasting happiness, then what does? Where should we look for true contentment if not in the pleasures and achievements that society typically associates with happiness?

    The answer lies within. After years of exploring this question through both personal experience and studying various philosophical traditions, I’ve come to a conclusion that might seem counterintuitive at first: happiness is fundamentally an internal state that we choose, not an external condition that happens to us.

    This insight aligns with wisdom traditions across cultures and times, from ancient Stoic philosophers to Buddhist teachings, and is increasingly supported by modern psychological research. But understanding this concept intellectually is one thing; experiencing it as a lived reality is quite another.

    In this second article, we’ll explore the internal nature of happiness, why it must be personally defined, and how our perspectives and reactions shape our emotional experience more than external circumstances. Let’s dive deeper into what true happiness actually is.

    Beyond External Euphoria: The Nature of Inner Happiness

    When most people think about happiness, they imagine moments of intense joy or pleasure – the euphoria of achievement, the excitement of new experiences, or the pleasure of material acquisition. But these states are fundamentally different from what I’ve come to understand as true happiness.

    I distinguish between external, physiological euphoria and inner happiness. The former comes from outside stimuli and triggers dopamine release. The latter is a deeper state – a sense that all is well, that I’m moving in the right direction, that I’m overcoming obstacles and living authentically. This inner contentment doesn’t depend on constant stimulation or achievement.

    The scientific community increasingly recognizes this distinction. Researchers differentiate between hedonic well-being (pleasure and positive emotions) and eudaimonic well-being (meaning, purpose, and growth). Studies show that while hedonic happiness feels good in the moment, eudaimonic happiness correlates more strongly with long-term life satisfaction and even physical health markers.

    A landmark Harvard study tracking participants for over 80 years found that good relationships keep us happier and healthier far more reliably than wealth or fame. This supports the idea that inner states of connection and meaning contribute more to sustainable happiness than external achievements or possessions.

    Look Around And Then Look Inside

    Think about the happiest people you know. Are they necessarily the most successful by conventional standards? The wealthiest? The most accomplished? Often, the people who radiate happiness have something else entirely – inner peace, gratitude, purpose, and healthy relationships. Their contentment comes from how they relate to life, not from what they possess or achieve.

    In my own experience, I’ve noticed that periods of greatest external “success” didn’t always correlate with my happiness. Sometimes achieving goals I’d worked toward for years left me feeling strangely empty once the initial excitement faded. Meanwhile, some of my most content periods came during simple times when I was aligned with my values and fully present.

    This isn’t to dismiss the importance of basic needs. Economic research confirms that financial security significantly impacts well-being up to the point where essential needs are met. According to studies, beyond approximately $75,000 annual income (in the US), additional money yields diminishing returns on day-to-day emotional well-being. Once basic needs are secure, inner factors become increasingly important determinants of happiness.

    So what exactly is this inner happiness? For me, it’s an internal sense of okay-ness that persists regardless of external circumstances. It’s feeling that I’m on the right path, growing, and living in alignment with my values. It’s a background sense of peace punctuated by moments of joy, rather than a constant high.

    This state cannot be maintained through external stimulation alone because our biology simply doesn’t work that way. As we explored in the first article, our bodies aren’t designed for permanent euphoria – the system would quickly break down. True inner happiness, however, can become a more consistent baseline because it doesn’t depend on the same neurochemical spikes and crashes.

    Defining Your Own Happiness: The Personal Journey

    Black-and-white portrait of novelist George Sand, reflecting her insights on the ingredients of happiness

    “One is happy as a result of one’s own efforts – once one knows the necessary ingredients of happiness: simple tastes, a certain degree of courage, self-denial to a point, love of work, and above all, a clear conscience.”George Sand (Amantine Lucile Aurore Dupin), French novelist

    If happiness is primarily internal and unique to each individual, then an obvious question follows: how do you define happiness for yourself?

    Various religions and philosophical traditions have attempted to answer this question for millennia. Some say happiness comes from love – loving yourself and others. Some claim it resides within each person and emerges when one’s soul is pure. Others propose it comes from surrender, service, or detachment.

    These diverse perspectives highlight an important truth: there can be no universal formula for happiness that works for everyone. Just as each person’s consciousness is unique, so too is their path to happiness. This is precisely why you must discover your own definition rather than adopting someone else’s.

    This might not be what you wanted to hear. Perhaps you were hoping for a simple, step-by-step formula that guarantees happiness. But such a formula cannot exist, precisely because of the individual nature of consciousness we discussed in the first article. Your unique neural pathways, life experiences, and psychological makeup mean that your happiness will look different from anyone else’s.

    Buddhism perhaps comes closest to acknowledging this reality by directing practitioners inward to find their own answers. Rather than providing external dogma, it encourages self-exploration and personal insight. This approach recognizes that while teachers can point the way, each person must walk their own path.

    I recommend studying various philosophies, religious traditions, and happiness research to gather a holistic picture. Look at how different cultures and individuals throughout history have conceived of happiness. Don’t limit yourself to one tradition or perspective – the more diverse your exploration, the richer your understanding will be.

    Write Down You Definition Of Happiness

    However, reading about happiness is only the beginning. The crucial step is personal introspection – sitting with yourself and defining what happiness means to you specifically. This isn’t a one-time exercise but an ongoing process that evolves as you grow and gain new experiences.

    Try this practical exercise: write down in plain language the phrases that describe your state when you feel happy. Don’t worry about how it might sound to others – write it in a way that makes sense to you personally. For me, these phrases include “feeling that all is well,” “moving in the right direction,” “overcoming obstacles,” and “being aligned with my values.”

    Your phrases might be completely different, and that’s exactly the point. Perhaps your happiness involves creative expression, connection with nature, service to others, intellectual stimulation, or spiritual practice. The specific elements matter less than their authenticity to you.

    This definition will likely change over time, and that’s normal. As you gain new experiences and insights, your understanding of happiness will naturally evolve. Be open to this change rather than clinging to old beliefs or definitions. Growth and adaptation are essential parts of the happiness journey.

    Happiness as a Choice: The Power of Perspective

    Black-and-white bust of Aristotle, Greek philosopher, associated with the idea that happiness depends on ourselves

    “Happiness depends upon ourselves.”Aristotle, 4th century BCE Greek philosopher, Nicomachean Ethics

    Here’s perhaps the most radical idea I’ve discovered about happiness: it’s something I choose to feel or not feel. It’s something I control.

    This might sound strange at first. After all, emotions often seem to happen to us rather than being chosen by us. When something unpleasant occurs, we feel bad. When something pleasant happens, we feel good. How can happiness be a choice if our emotions seem largely reactive?

    The answer lies in understanding the gap between events and our interpretation of them. While we can’t always control what happens to us, we can control how we respond to it. This is about recognizing that our reactions are shaped by mental patterns we can gradually reshape.

    Modern psychology strongly supports this view. Cognitive-behavioral therapy, one of the most effective psychological treatments, is based on the principle that our thoughts create our emotions. By changing how we think about situations, we can change how we feel about them.

    Research shows this approach works. Studies find that cognitive reframing techniques can significantly reduce symptoms of depression and anxiety while increasing reported happiness. One landmark study found that intentional activities like cognitive exercises, acts of kindness, and mindfulness account for about 40% of variance in happiness, compared to only about 10% from life circumstances.

    Consider a simple example: your boss yells at you. This is objectively unpleasant, but your reaction to it isn’t predetermined. You might take it personally and feel devastated. You might get angry and defensive. Or you might recognize that your boss’s behavior likely has more to do with their own stress than with you – perhaps they’re struggling with a conflict with their superior or dealing with personal problems.

    Even If They Yell At You

    I experienced this directly when a manager once called me into the stairwell to yell at me, ostensibly about something I’d done. Rather than becoming defensive or upset, I recognized that his anger wasn’t really about me – it was displaced from other conflicts he was having. I simply listened calmly, asked if he was finished, and moved on with my day. This detachment protected my inner peace.

    Black-and-white bust of Epictetus, Stoic philosopher, representing wisdom on perception and happiness

    Ancient Stoic philosophy anticipated these insights by teaching that

    “Men are disturbed not by things, but by the views they take of them” (Epictetus).

    This wisdom has been echoed across cultures and times, from Marcus Aurelius’s writings to Buddhist teachings on attachment.

    This doesn’t mean suppressing emotions or denying reality. It means developing awareness of how our interpretations shape our emotional experience and gradually training ourselves to interpret events in ways that promote inner peace rather than unnecessary suffering.

    Developing this skill requires practice. Initially, it might feel artificial – like you’re “faking” a positive attitude rather than genuinely feeling it. This is normal and part of the process. As the saying goes, “fake it till you make it.” With consistent practice, what begins as conscious effort eventually becomes natural.

    In my own experience, I made a childhood decision to approach life with positivity. At first, it felt like a performance – I was consciously choosing to find the good in situations rather than dwelling on the negative. But over time, after practicing this thousands of times, it became my default mode of perception. Now I naturally tend to see opportunities in challenges and find positive aspects in difficult situations.

    This might look like a naive optimism or denial of reality. But it’s more like a trained ability to direct attention toward constructive interpretations rather than destructive ones. The key insight is that in most situations, multiple interpretations are possible – and we have the power to choose which ones we focus on.

    Developing Your Inner Framework

    So far, we’ve established three crucial steps toward understanding happiness:

    1. Study the physiology behind happiness – understand how your brain’s reward system works and its limitations
    2. Explore diverse philosophical sources – gather wisdom from different traditions and perspectives
    3. Define personal happiness metrics – articulate what happiness means specifically to you

    The fourth step is to observe yourself when you feel happy and capture that state in words. Pay attention to moments when you feel genuinely content and ask yourself: What does this feel like? What thoughts am I having? What physical sensations am I experiencing?

    You might also observe others who appear happy. What qualities do they display? What makes you think they’re experiencing happiness? This external observation can provide clues about what happiness looks like to you.

    When I see someone radiating happiness, I notice they often have a certain inner glow – an energy that’s palpable and somewhat contagious. They seem at ease with themselves and engaged with life. Their presence can actually shift my own emotional state toward the positive.

    Research confirms this emotional contagion effect. Studies show that happiness spreads through social networks – if a direct friend is happy, your chances of happiness increase by about 15%. Even the happiness of friends-of-friends can influence your emotional state. This explains why surrounding yourself with positive people can naturally elevate your mood.

    Build Up Your Normal Level

    Understanding these patterns helps us recognize happiness when it appears and cultivate conditions that support it. By developing awareness of our internal states and their triggers, we gain greater capacity to choose happiness rather than having it depend entirely on circumstances.

    Of course, this doesn’t mean we should expect to feel euphoric all the time. As we discussed in the first article, permanent high states aren’t sustainable or even desirable. A more realistic goal is to establish a positive or neutral baseline with fewer dips into negativity and more peaks of joy.

    Some spiritual traditions suggest that advanced practitioners can achieve a state of permanent contentment – something akin to enlightenment. Perhaps the Tibetan monks who dedicate their lives to meditation have reached such a state. While this path is valid for those drawn to it, I personally resonate more with the approach of those who find enlightenment and then return to society to contribute.

    Creating value, serving others, building relationships, and engaging with the world while maintaining inner peace – this integrated approach feels most complete to me. It combines the wisdom of contemplation with the fulfillment of action.

    If you have chosen creating value as one of your top priorities in life, you may need to create content to do this. With the help of AI, you can scale this process so your content can reach more people. I got you covered: the ANTIghostwriter content creation system helps you create 72+ content pieces per week while maintaining your authentic voice and providing value – check it out.

    Black-and-white portrait of the 14th Dalai Lama, symbolizing Buddhist wisdom on happiness and compassion

    “Happiness is not something ready-made. It comes from your own actions.”Tenzin Gyatso, 14th Dalai Lama, Buddhist leader, in The Art of Happiness

    Looking Ahead: From Understanding to Practice

    In this article, we’ve explored the internal nature of happiness – how it emerges from our perspectives, interpretations, and choices rather than external circumstances alone. We’ve discussed the importance of defining happiness personally and the power of choosing our reactions to life events.

    This understanding lays the foundation for practical application. In the third and final article of this series, we’ll explore specific techniques for cultivating inner happiness, including:

    • Mental training through meditation and mindfulness
    • Perspective-shifting exercises for greater detachment
    • Living in the present moment and enjoying what is
    • Building positive social connections and contributing to others
    • Practical implementation of “fake it till you make it”

    These practices will help you translate theoretical understanding into lived experience, gradually increasing your capacity for sustainable happiness regardless of external circumstances.

    For now, I encourage you to spend time defining what happiness means to you personally. Write down the phrases that describe your experience of contentment or joy. Observe moments when you feel genuinely happy and note what’s happening internally. This self-awareness is the essential first step toward consciously cultivating greater happiness.

    Remember that happiness isn’t something you achieve once and then possess forever. It’s a dynamic, ongoing process that evolves as you grow. By understanding its internal nature and developing the skills to cultivate it, you can significantly increase both the frequency and duration of positive states in your life.

    The journey toward happiness begins with recognizing that the key isn’t out there in the world of achievements and acquisitions – it’s within you, in how you relate to yourself and your experience. And this is precisely what makes true happiness available to everyone, regardless of circumstances.

  • The Science and Philosophy of Happiness: Why Dopamine Isn’t Enough

    The Science and Philosophy of Happiness: Why Dopamine Isn’t Enough

    This is Part 1 of a 3-part series exploring the foundations of happiness, combining cutting-edge neuroscience with timeless philosophical wisdom.

    The question of happiness is both profoundly philosophical and intensely practical. On one hand, it requires deep internal reflection – the kind that reshapes our fundamental worldview. On the other, it directly affects our everyday behaviors, relationships, and external life. While happiness might seem like an abstract concept, I’ve found that understanding it forms the foundation for building everything else.

    After all, what could be more important? If we’re honest with ourselves, happiness is the ultimate goal that drives most human behavior. At some point, nearly everyone asks themselves: “Why am I here? What’s the purpose of all this?” These existential questions inevitably lead back to happiness – that elusive state we’re all pursuing, whether consciously or not.

    But here’s the fundamental challenge – happiness is intensely individual. Our unique neural architecture and lifetime of experiences make each person’s definition of happiness different. This creates an immediate problem: there cannot be a universal formula for happiness that works for everyone. The path to contentment for one person might lead another to misery.

    This realization sent me on a journey to understand happiness from multiple angles. I wanted to study the science behind it, the philosophy surrounding it, and the subjective experience of it. What I discovered changed my understanding of what it means to be happy – and I believe it might change yours too.

    In this first article, I’ll explore why we’re all uniquely wired to experience happiness differently, how our brain’s reward system works (and can work against us), and why modern life has created a dopamine trap that prevents many from experiencing deeper contentment. Future articles will delve into the internal nature of happiness and practical techniques to cultivate it.

    Let’s begin this exploration by understanding why your happiness is fundamentally different from anyone else’s.

    Black-and-white portrait of philosopher John Stuart Mill, representing his view on the paradox of happiness

    “Ask yourself whether you are happy, and you cease to be so.” – John Stuart Mill, English philosopher, Autobiography (1873)

    Why Your Brain Experiences Happiness Like No One Else’s

    Each of us walks through life with a consciousness shaped by every moment we’ve experienced since birth. Even identical twins born in the same hospital develop different neural patterns because they physically occupy different spaces, see slightly different things, and process these inputs through an already-developing unique filter.

    Think about it – from the moment we’re born, our sensory receptors begin absorbing information that’s instantly recorded in our brain and subconscious. This information is later interpreted by our conscious mind, creating an entirely unique internal world. The question of exactly when consciousness emerges is fascinating in itself, but what’s clear is that each person’s consciousness develops through a completely individualized set of inputs.

    I discussed this concept more deeply in my article about unlocking your brain’s hidden superpower, where I explained how our receptors influence our perception of reality. The techniques I shared there have transformed my daily experience, and I strongly recommend exploring them.

    This individuality extends to our physiological makeup too. Our hormonal and neurotransmitter systems function differently from person to person. What triggers dopamine release in one brain might produce a completely different response in another. Our receptors respond uniquely to various stimuli, creating individualized patterns of reaction to identical situations.

    The research confirms this biological diversity. Studies on twins show that even with identical DNA, environmental factors create significant differences in how their brains process emotions. Brain imaging reveals that when presented with the same emotional stimuli, no two people show precisely the same neural activation patterns.

    This understanding is crucial for happiness because it means we must each discover our own path. No matter how similar we might seem to others in personality or background, our internal experiences remain distinctly our own. This is why generic happiness advice often falls flat – it fails to account for neurological uniqueness.

    So when we talk about happiness, we’re not talking about a universal emotion that everyone experiences identically. We’re talking about billions of unique versions of a feeling, each valid and real to the person experiencing it.

    Now, to understand how these unique brains process happiness, we need to look at what’s happening on a neurochemical level.

    The Chemistry Behind Your Happiness

    Neurochemicals play a critical role in regulating our conscious states, particularly dopamine – often mistakenly called the “happiness molecule.” In reality, dopamine is better described as the “molecule of more” or the “wanting molecule.” It’s not about contentment but about desire and anticipation.

    This distinction is crucial. Dopamine surges when something beneficial for our survival occurs, driving us to repeat behaviors that promote survival and reproduction. Evolution designed this system brilliantly – activities essential for our species’ continuation (like sex) trigger dopamine release, creating a powerful reinforcement loop.

    During orgasm, for instance, dopamine levels spike dramatically – an evolutionary mechanism ensuring reproductive behavior continues. Studies show that sexual activity causes approximately a 100% increase in baseline dopamine, while substances like cocaine can cause a 250% increase, and methamphetamine an astounding 1000% increase. These numbers represent the hijacking of a system designed for survival.

    Nature programmed these mechanisms for a specific purpose – to help us thrive and propagate. Our brain’s reward system evolved to encourage behaviors that promote survival, not to make us perpetually happy. This creates an interesting paradox: the very system that gives us moments of pleasure isn’t designed for sustained contentment.

    Black-and-white portrait of Dr. Robert Sapolsky, symbolizing his insights on dopamine and the pursuit of happiness

    “Dopamine is not about the happiness of reward. It’s about the happiness of pursuit.” – Dr. Robert Sapolsky, Stanford neuroscientist and primatologist, Behave (2017)

    How We Exploit Our Own Nature

    The modern human has discovered many ways to trigger this system artificially. We’ve created numerous synthetic triggers – stimuli that weren’t part of our evolutionary environment but activate the same reward pathways. Yet even these “synthetic” triggers ultimately work through natural mechanisms, using the same elements and chemicals found in nature. We’re not importing substances from another universe; we’re simply manipulating the existing system in unprecedented ways.

    Research from Stanford University demonstrates how dramatically different activities impact dopamine levels. Eating chocolate might raise levels by about 50%, while social media notifications – despite their seemingly minor nature – can trigger spikes comparable to those from certain foods. This explains why seemingly harmless digital behaviors can become surprisingly addictive.

    Social networks provide a perfect example of this dopamine manipulation. As social animals, we evolved to derive pleasure from community interactions – this promoted tribal cohesion and improved survival chances. Social media platforms have expertly harnessed this mechanism, creating direct triggers for dopamine release through likes, comments, and shares.

    Black-and-white portrait of Sean Parker, highlighting his role in designing dopamine-driven social media engagement

    Former Facebook president Sean Parker famously admitted this design strategy:

    “How do we consume as much of your time and attention as possible? We put in features like the ‘like’ button that would give users a little dopamine hit… exploiting a vulnerability in human psychology.”

    I’m guilty of that too. I want more likes and engagement on my content. But to get more likes and engagement you need more content. With my ANTIghostwriter content creation system I maintain more than 72 content pieces every week. If you need content for developing your brand, personal or corporate, this will help you a lot.

    This feedback loop creates a craving for validation that keeps us returning to these platforms. Each notification delivers a brief mood enhancement, leading users to seek more and more engagement. The brain imaging studies confirm this – receiving positive social feedback activates reward circuitry similarly to other pleasurable stimuli.

    But this brings us to a critical question: is this type of happiness – the dopamine-driven kind – what we’re really looking for?

    The Modern Dopamine Trap

    There’s a fundamental difference between this external physiological euphoria and inner happiness. The dopamine-fueled highs we experience from external stimuli are fleeting and ultimately unsustainable, while true happiness comes from a deeper state of contentment and purpose.

    The science aligns with this distinction. Hedonic pleasure (raw enjoyment) is typically temporary and subject to habituation, whereas eudaimonic well-being (contentment from meaning, growth, alignment with values) proves more enduring. Studies consistently show that people reporting high life meaning and engagement through fulfilling work, relationships, and altruism demonstrate better long-term well-being than those chasing momentary pleasures.

    This creates a crucial insight: our physiology isn’t designed for permanent euphoria. Constant dopamine overstimulation leads to tolerance – receptors downregulate, and we feel less pleasure over time, requiring ever more stimulation to attain the same high. This is exactly what happens in addiction: the brain’s reward system gets damaged, leaving one unable to feel normal joys.

    I’ve observed this pattern in myself and others. The initial excitement of a new social media platform gradually fades, requiring more engagement, more likes, more comments to produce the same feeling. Each notification becomes less satisfying, yet the craving intensifies. This mirrors addiction in alarming ways.

    Modern research confirms this neurological reality. Studies tracking dopamine receptor density show dramatic decreases in chronic overstimulation scenarios. One longitudinal study found that frequent exposure to high-dopamine activities reduced receptor sensitivity by up to 30% in some brain regions, creating a biochemical basis for diminishing returns.

    Do You Want Another Dose?

    When we understand this cycle, we can see why chasing external happiness triggers inevitably leads to disappointment. As soon as the stimulation passes, we experience a sharp decline, leading only to the desire for another “dose.” This is physiologically similar to drug addiction – a pattern that ultimately destroys rather than enhances well-being.

    If our body could maintain permanent euphoria, we might all live in perpetual highs. But that’s not how our biology works. Maintaining a constant dopamine flood would quickly destroy our system – our brain evolved negative feedback loops specifically to prevent this. After an initial rush, dopamine levels naturally plummet, and prolonged high dopamine can induce anxiety, irritability, and cellular stress.

    In extreme cases, like stimulant drug binges, people experience severe depletion and depression following the high. Even psychologically, if someone somehow felt only euphoria all the time, it would cease to feel like happiness in the absence of contrast. Research on hedonic adaptation shows we tend to return to a baseline after good or bad events – constant pleasure becomes “the new normal” and no longer satisfies.

    This presents us with a fundamental truth: sustainable happiness cannot come from external dopamine triggers alone. Our neurochemistry simply won’t allow it. The constant pursuit of more – more likes, more purchases, more achievements – creates a treadmill that accelerates but never reaches a destination.

    I’ve experienced this personally. Times when I achieved external goals that should have made me “happy” often left me feeling oddly empty once the initial dopamine rush subsided. Meanwhile, periods of deep contentment frequently came not from external stimulation but from internal states of acceptance, meaning, and presence.

    Moving Beyond the Dopamine Model

    Understanding our neurochemistry doesn’t mean we should dismiss the role of dopamine and pleasure in our lives. These systems evolved for good reasons and serve important functions. The problem arises when we mistake temporary euphoria for lasting happiness – when we chase the high rather than building the foundation.

    So where do we go from here? If dopamine-driven happiness isn’t sustainable, what is? The answer requires looking beyond our neurochemistry to understand happiness as an internal state rather than an external achievement.

    In Part 2 of this series, we’ll explore the internal nature of happiness – how it emerges from our perspectives, choices, and mindsets rather than external circumstances. We’ll examine why happiness is fundamentally something we choose to feel rather than something that happens to us, and I’ll share how this realization transformed my relationship with happiness.

    For now, I invite you to reflect on your own dopamine triggers. What external stimuli do you depend on for feeling good? How sustainable are these sources? Have you noticed diminishing returns from activities that once brought significant pleasure? This awareness is the first step toward breaking free from the dopamine trap and discovering a more sustainable form of happiness.

    True happiness lies beyond the molecules – it’s found in the meaning we create, the perspectives we adopt, and the internal choices we make. While dopamine provides momentary sparks of pleasure, the lasting fire of contentment comes from something deeper.

    In our next article, we’ll explore exactly what that something is, and how to cultivate it within yourself regardless of external circumstances.

  • The Three-Body Problem: Why Your Business Dreams Keep Crashing into Reality

    The Three-Body Problem: Why Your Business Dreams Keep Crashing into Reality

    If you’re not yet familiar with this famous theory that inspired an entire series – it’s the three-body problem. We won’t delve into scientific details now; it’s better if you look into what it is yourself, but I’ll briefly explain the essence.

    When we calculate the trajectory of two bodies in space that orbit each other, such as our planet around the Sun, we account for parameters of these two bodies. With high probability, we can predict where one body and the other will be after a certain period of time.

    However, if we add a third body that affects the first two with its gravitational field, predicting their future position in space and time becomes virtually impossible. The variables involved in this interaction become immeasurably numerous, and calculating their values so that everything is accurately matched is not possible, at least not now.

    There are simplified methods for calculating the state of these bodies, based on simulating various scenarios and approximation – averaging all these variables. This is not an exact calculation, but it allows for determining the location of bodies with sufficient accuracy. But the essence remains unchanged: it’s impossible to precisely determine where one body will be relative to another.

    Beyond Just Celestial Bodies

    This concept, in my view, extends beyond the study of celestial bodies and science to life itself. When you have only two variables, such as two people or the relationship between them at a certain point in time, you can more or less predict them if you have the values of all these variables.

    But as soon as a third person appears, the number of variables that need to be considered when all three interact increases disproportionately more than just plus one or multiplication by the number of people. The same applies to any aspect of life, which is why it seems so unpredictable and unexplored.

    Despite the fact that we, as a human species, have gone through so much and achieved a lot, life remains a mystery for each person. What will happen to them is mostly unclear and impossible to predict. Using the principle of approximation or calculating only two bodies doesn’t work because there are many more bodies in each person’s life that influence and contain variables that need to be considered.

    The same applies to business. If everything were as simple as calculating the position of two bodies, we would have templates, blueprints, or step-by-step instructions on how to create a business and become rich, taking into account initial conditions, capital, location, and the presence of other things.

    But business is also something that doesn’t involve just two bodies, such as a seller and a buyer, but much more. This problem, by the way, is called the n-body problem in science, meaning the number of bodies is not three, but undefined, yet more than two.

    Just Take This Guide And You Will Be Rich (You Won’t)

    Black-and-white portrait of Mike Tyson, illustrating resilience and unpredictability in the context of the three-body problem in business

    “Everyone has a plan until they get punched in the face.” – Mike Tyson, former heavyweight boxing champion

    In business, there are also n bodies, and the number of variables that need to be considered when creating a business is so large that it’s impossible to calculate it all in advance using scientific methods or equations. That’s why it’s impossible to create a playbook that you can take, apply, and end up with a ready-made business.

    Even if it’s a step-by-step plan, system, or franchise where there’s a book that takes into account many variables and allows minimizing risks, a large number of businesses started even through franchises don’t become profitable and operate at a loss. This confirms the hypothesis that life or business in this case is subject to the n-body problem.

    The first conclusion we can draw is that there’s no point in looking for schemes, ready-made templates, advice, blueprints, or playbooks for creating a business because, even if you follow them step by step, some variable unique to your situation or your life will turn this template into a useless piece of text.

    Some tactic or strategy won’t work, some advice will be inapplicable considering your position in space and time. It will all end with broken hopes or an indication that this blueprint is a scam.

    This often happens despite the fact that it’s a legitimate course on creating a business from someone who has created it, or on any other topic. For example, a course by Ali Abdaal, a multi-million-subscriber YouTuber who knows how to attract an audience, grow a channel, shoot videos, and does this in practice. He’s not a theorist but someone who has gone from zero, knowing all the nuances.

    However, if you buy his course, no one guarantees that you’ll become a multi-million-subscriber YouTuber. Practice shows that this is what happens. Some achieve a lot with the help of the course, while others don’t succeed at all. Why? Their specific situation, variables not considered in the course and that cannot be considered, don’t allow for it.

    Adjust Anything To You Case

    That’s why I always say: don’t try to apply other people’s systems to yourself without adjustment. As soon as you want to apply a system created by someone else, consider that they have a different position in space and time, a different set of variables that may overlap with yours, but you’ll have unique variables.

    When you take a system or strategy, be sure to make adjustments considering your variables. Adapt the system to yourself so that it can be reused. Continue doing this constantly, fine-tuning tactics and strategies, adding variables that you won’t consider the first time, even knowing your situation better.

    That’s exactly what you need to do with my ANTIghostwriter content creation system, for example, if you decide to use it for your brand. Yes, it’s polished and tested already, but exclusively for my own brand. So what you need to do is refine those parts that don’t match yours. Maybe you will adjust some prompts, maybe you will decrease the number of posts you need to generate every week, or something else. But the essence remains the same: adapt the system to your own needs.

    Black-and-white portrait of Heraclitus, symbolizing constant change and flux—the three-body problem in business unpredictability

    “Nothing endures but change.” – Heraclitus, ancient Greek philosopher

    Treat any advice, tactic, strategy, blueprint, or playbook as a beacon that guides you by vector. But the specific path, the trail, leads through a field, and you need to pave the way yourself, considering the backpack with cargo on your shoulders.

    A Millimeter Counts

    The second conclusion is: how to apply this theory in business? In business, it’s important to engage in predictive analytics, predict the expenses of marketing campaigns, the result of releasing a new product. The same principle that works in modern science applies: approximation, modeling the situation, considering as many parameters as possible.

    The more parameters we consider, the more accurate the prediction over a short period of time. Time is one of the variables. The shorter the time period, the easier it is to predict. Any change, even by a millimeter, as in the n-body problem, affects the system.

    For example, a shift in the orbit of Venus or Mercury by a millimeter over billions of years leads to the intersection of planetary orbits, collision, a change in the solar system. One millimeter on a cosmic scale is incredible.

    In business, such a millimeter could be an employee resignation, stock movement, the emergence of artificial intelligence, a new program, the illness of a manager – anything at all. It’s impossible to predict with accuracy.

    Black-and-white portrait of Henri Poincaré, mathematician whose work on chaos theory inspired the business metaphor of the three-body problem

    “It may happen that small differences in the initial conditions produce very great ones in the final phenomena.” – Henri Poincaré, mathematician & chaos theory pioneer

    What to do? A systems approach and analysis, which I actively talk about, helps. Systems analysis involves considering many variables when describing a system. This is what’s needed. It’s impossible to account for all variables; they are dynamic, constantly changing, there are more than can be described, and at each moment, a new system appears.

    Plus, they are unknown and cannot be known because there are billions of people on Earth, each of whom can indirectly or directly affect a business. It’s impossible to know everyone. You can only probabilistically assume a scenario.

    Systems analysis allows for approximately accounting for a large number of known variables. If something is unknown, systems analysis methods allow for adding variables. I described this in the article on creating a list of objects and functions: The Power of Systems Thinking: How to See the Whole When Others See Parts, which are variables necessary when describing any system, including a business system.

    Add More Variables

    What we need to do is gather as many variables as possible that can affect a business and model it to account for these variables. How does this work?

    When you create a business process diagram and go through the list of variables, you see that some are involved in the process, and some are not. Then you ask yourself: are they really not involved, or have I not considered them? Maybe I need to add a process that directly or indirectly affects the system.

    Black-and-white portrait of George E. P. Box, statistician known for the quote “All models are wrong, but some are useful,” connected to business unpredictability

    “All models are wrong, but some are useful.” – George E. P. Box, statistician

    An approach helps when you first consider the system in isolation and then as part of a subsidiary or parent system. When your system is a subsystem of something larger, new variables appear.

    For example, any business operates in a jurisdiction. You can describe all business processes in a franchise book, from registration to purchasing goods, contracts with suppliers, their number. But when a franchise is sold to a foreign market, a variable appears – another country that changes the business landscape: from registration and conditions to the set of products available in that country.

    Suppliers that were in another country may not be available. The book will have to be rewritten, considering new inputs. It’s impossible to view the business system as isolated, outside of jurisdiction; it won’t work.

    Try to look at the picture not one-sidedly but in context.

    I think that someday I’ll create a tool that will allow for clearly and predictably modeling a business, considering many variables, creating a map – a predictive model. You can run simulations: what will happen to the business over time if you change a variable, for example, launch a marketing campaign with such indicators, add a department or product.

    This is what predictive data analytics is trying to do, but it’s not accurate enough yet and is only available to major players, as it requires a lot of money and resources.

    There’s Still Unknown

    The third conclusion: besides the obvious variables in any situation – business, relationships, health, happiness, all domains of life – there are variables that you cannot know and consider. The world is not black and white, not one-sided.

    Our brain strives for a narrative where everything is either one way or another. But everything is more complex. We don’t live in a two-dimensional world where you can only move forward-backward, up-down. There are many more variables.

    Don’t let this discourage you; let it inspire you. In your life, there are variables that you can find, that you can influence. Even a shift by a millimeter over the years will change life for the better beyond recognition. Look for these variables and be happy.

    Black-and-white portrait of Karl Popper, philosopher of science, used to highlight uncertainty and falsifiability in business systems

    Let me finish with the beautiful quote from Karl Popper, philosopher of science:

    “Optimism is a duty. The future is open. It is not predetermined. No one can predict it, except by chance. We all contribute to determining it by what we do.”


    In the next article we will explore several frameworks that can help you to navigate within life and business environment and untangle a bit the Three-Body Problem.