So you don't miss a thing. Hi there! A number of you have recently subscribed to The Weekly Chronicle . Of which I appreciate. Here's the list of past volumes. So you don't miss a thing. . . . ~T.K.K Volume 95: The Sword of Damocles Volume 94: Easter 2026 Volume 93: Positive-Sum Mentality Volume 92: Product Belief Volume 91: Seize the Opportunity Volume 90: Lose Yourself Volume 89: Legends in the Making Volume 88: The Allegory of the Casino Volume 87: Gamble or Guarantee Volume 86: Calm Ambition Volume 85: An Ode to a Friend Volume 84: The Light of the World Volume 83: The Sustainability Question Volume 82: The Pygmalion Effect Volume 81: The Main Lesson Learned in 2025 Volume 80: On Meaningful Work Volume 79: Going Quiet Volume 78: Thank You - Thanksgiving 2025 Reflection Volume 77: Progress, not Perfection Volume 76: Think in Decades Volume 75: The Infinite Game Volume 74: The Two Games of Life Volume 73: Momentum Volume 72: Navigating your Worst Days Volume 71: Consistency and Intensity Volume 70: Consistency vs Intensity Volume 69: Nibbling Through Obstacles & Baby-Step Simplification Volume 68: On Barriers to Entry Volume 67: On Starting Unready Volume 66: The Power of Consistency Volume 65: Birthday Note—Letter to my 19-YO Self Volume 64: The Future to Come Volume 63: Would I Trade Lives with Warren Buffett? Volume 62: The Next Five Years Volume 61: Kids and Hardwork Volume 60: How Much is Enough? Volume 59: July 1st Volume 58: " Will More Money Make You Happy? " Volume 57: Baby Steps Volume 56: A Summary on Mental Models (Multi-Series)—Jimmy and His Treehouse 56.1 - Pareto's Principle and First Principles 56.2 - Second-Order Thinking and Inversion 56.3 - Systems Thinking, Occam's Razor, and Linear Thinking Volume 55: Linear Thinking + Other Mental Models Volume 54: The Problem with Linear Thinking Volume 53: Linear Thinking Volume 52: One Year On... Volume 51: Occam's Razor vs Linear Thinking Volume 50: Occam's Razor Volume 49: Two More Systems Examples Volume 48: Life as a System (LaaS) Volume 47: Systems Thinking Volume 46: Inversion Thinking Volume 45: First Principles Thinking Volume 44: A Story on Resilience Volume 43: Root-Cause Analysis Volume 42: Pareto's Principle - The 80/20 Rule Volume 41: Mental Models Volume 40: Second-Order Thinking Volume 39: How to Decide Volume 38: Crypto 101 Volume 37: The Mentor's Crucifixion Volume 36: Dream. Execute. Repeat. Volume 35: 20 Lessons from 2024 Volume 34: A Top 1% Skill Volume 33: It Takes More Effort than You Think Volume 32: Life Lessons from a 60-Year-Old Friend Volume 31: Thanksgiving Volume 30: Work = Creating Output Volume 29: 13 Lessons in 13 Months - Lessons from my Early Career Volume 28: If You Don't Know What to Do With Your Life Volume 27: Seasons Volume 26: Rule of 26 Volume 25: You Are Your Own Competition Volume 24: Do It Scared Volume 23: Build II Volume 22: The Overthinking Paradox Volume 21: You are the Goal Volume 20: What Goes Into a Minute Volume 19: Don't Sacrifice Quality Volume 18: Happy Birthday Uncle Warren 🎊🎉🎈. Volume 17: Letter to my 18-Year-Old Self Volume 16: Luck Doesn't Exist Volume 15: Build Volume 14: Be Good. Be Ethical. And Be Honest . Volume 13: The Meaning of a Newsletter Volume 12: Write Volume 11: The ROI Mindset Volume 10: Doing Meaningful Work Volume 9: The Weekly Chronicle Special - A Quintuple Series 9.1: Part I: Intro 9.2: A Meaningful Goal 9.3: The Journey Between 9.4: The Journey is the Destination 9.5: Rounding It Up - Goal Setting Volume 8: The Rule of 36 Volume 7: Meeting Jordan Peterson Volume 6: The Art of Mini-Tasking Volume 5: Stop Trying Too Hard Volume 4: The Nothing Week Volume 3: Do It for Yourself Volume 2: " I don't have to - I get to " Volume 1: Welcome

klnlk Cristiano needs no introduction. ( For anyone who doesn't know, he's the greatest footballer of all time. ) Discipline, longevity, reinvention—he’s built a career mastering the controllables and adapting to enigmas. And adapt he did... again. But this time, not on the pitch...but off it . The Portugal Football Globes Gala So...it's one of those football stardom moments when Cristiano takes the pulpit to accept another award for his collection. And the last thing you'd expect was his speech that followed. Not in what he said...but in   how he prepared it. Cristiano Ronaldo on using Perplexity (Prestige Globe Awards) Ronaldo used  Perplexity AI  to write his speech at the JEBK Soccer Awards. Context Okay. Ronaldo is a Top-10 confident sportsman there is. Yet he clearly admits that, even for accepting this award, he was anxious. He needed some help drafting his speech, and out came Perplexity. Think about it for a sec: One of the greatest athletes to have ever graced the earth, who has won all the accolades in the sport...needs help writing a award speech. Let that sink in. Crazy.   Loco. And of course, Perplexity came to the rescue—Pretty solid assist if you ask me. If I met Ronaldo, I'd ask him these questions. Quick Plug If you like what you're reading so far, I have a newsletter that shares   weekly motivational and personal development insights to spark your mind and inspire you as you start your week. Takes   one minute long . Join   The Weekly Chronicle newsletter here . Your support would mean the world to me. 💜 Thanks! We keep reading. The Bigger Picture Ronaldo was neither outsourcing gratitude nor delegating sincerity. Rather, he did what we'd typically do— leveraging tools to sharpen our message. By now, we all know how AI can fine-tune language to be inspiring, humble, and all that - suited for any stage. We also agree that:   AI doesn't replace talent—It amplifies impact. So Ronaldo isn't shortcutting with AI even though he has every reason to siiiiuuu on stage. If anything, Perplexity   amplified the award's authenticity and its meaning to him. Meaning, we could kinda tell this award was a big deal to him compared to his past Ballon D'Ors, for instance. Which is kinda funny because, if you ask me, it's a win-win scenario here: Perplexity got free publicity from the event...while Ronaldo became an angel investor not so long after. Perplexity x CR7 Collab ( Perplexity.ai ) What does this mean for us? For those of us who don't score bangers on weekends, it shouldn't come as a surprise that we can save our intellectual capital on tasks AI can do at 1,000% efficiency for 0.001th of the time. And if there's one thing to learn from Ronaldo using AI, it's that: You are the Product—AI is the Packager. Ronaldo is a subject matter in scoring bicycle kicks and performing at the highest level. I am a Business Analyst dealing in Data Analytics and Agentic AI. And you are a specialist in your niche. Your expertise, your niche, and your skills comprise the product—AI handles the packaging,   whether it's r ecommending courses ,   automating tasks , or even   mind-mapping. No One Operates in Isolation Ronaldo's use of AI also sheds light on another truth: No one operates in isolation. Not founders. Not creators. Not athletes. Not Ronaldo. Not Messi. Neither you nor me. No one operates in rapid isolation. Meaning, in Ronaldo's case, it's clear he's asking for more than just help:   He needs help expressing what he already felt,   and Perplexity did the job right. And that’s the shift we’re all navigating now: ➙   To spark angles we missed. ➙   To tighten the language we fumbled. ➙   And to turn raw emotion into refined expression. That's what AI does for us when it works  with  us. What This Means for Us (The Builders, The Learners, The In-Betweeners) Watching Ronaldo embrace AI tells us something important: Even the best are still learning. Still experimenting. Still building in public. And if someone at the pinnacle of global fame can openly use AI to refine his voice,   you and I can use it to refine our thinking. Not to hide behind nor mask any insecurities, but to   explore ideas   with more   clarity, courage,   and   curiosity. Closing Ronaldo didn’t use AI because he lacked the words—He could've said anything really. Still, he used AI because he respects the moment well enough to get the words right. And maybe that’s a lesson for all of us: Excellence is about choosing the right mechanisms to elevate what matters. If used right, AI won’t replace your voice— It will amplify it. Have a good one. . . . ~T.K.K Subscribe to The Weekly Chronicle Newsletter  for motivational insights and high-impact ideas in under one minute. Delivered every Sunday.

Thinking with AI Mental Models in the Age of AI So, the anthem stands by now: “ AI won’t replace you…but someone using AI will. ” Including someone that   thinks  with AI. One counter-question would be: "Why do I need to think when I can just ChatGPT it?" And...that’s kinda the problem: You don’t just naturally delegate your thinking to AI. Mythbuster: ChatGPT is no Sage See, the thing is... ChatGPT is not—and will not—be the answer to all our problems. It’s no guru...but a tool, like any other Generative AI. Meaning, “ Just ChatGPT it ” is as vague as the thought process behind it. And ChatGPT—or any AI for that matter—is   only as good as the brains behind it . And not just data brains...but human brains, too. Enter Mental Models Mental Models—A subpremise of this article. Combined with AI, Mental Models can make a user formidable in the next decade or so. What are Mental Models? “ Thinking Shortcuts ” in short. If you’ve heard of concepts like: ↳   First-Principles Thinking  (My Favorite)   ↳   Second-Order Thinking ↳   Pareto’s Principle (The 80/20 Rule) And so on, Those are some Mental Models. Thinking frameworks that help you problem-solve scenarios. Farnam Street Blog: More About Mental Models Now that definition’s out of the way, let’s add AI to the mix. MENTAL MODELS FOR THE AGE OF AI So, as initially stated, ChatGPT alone isn’t enough— We need some thinking to back it up and some mental models up our sleeves, considering how fast the world is evolving in tech. Some mental models for starters: First Principles Thinking Bayesian Updating Second-Order Thinking Critical Thinking Systems Thinking Inversion Thinking Bias to Action Root-Cause Analysis Latticework of Models Mental Model Plasticity Cynefin Framework Probabilistic Thinking Critical Thinking Note An overarching theme in this article is that   AI is an assistant. That’s already obvious off the bat, but the more we dive in, the more we’ll uncover that AI further   brainstorms  beyond our natural limits. And at the end of the day,   we bear the consequences of our actions, not ChatGPT. 1. First Principles Thinking First-Principles Thinking is breaking down problems into their fundamental, undeniable components and solving them from scratch. The art of   problem deconstruction   and   building up solutions   from notwithstanding   pillars of facts. First Principles Thinking Why is this important?   It helps to have these   irrefutable pillars of truth   to lean on when all else fails, especially during ambiguity. So in the case of AI, sure—You can use it to solve a problem...or use it upon these pillars for amplified results. Or if you’re not sure where to start,   prompt it. AI & First Principles Thinking (1) AI & First Principles Thinking (2)  AI & First Principles Thinking (3) 2. Bayesian Updating Bayesian Updating is   revising one’s beliefs using new data. Why is this important?  Data is changing everyday, and so is AI—Both evolving at rates faster than the human mind can fathom. And   our thinking prowess is only as good as the data we hold. Pierre-Simon Laplace on Bayesian Thinking So with Bayesian Thinking ( or Updating, as you may ),   the more unlikely something is, the more compelling the evidence must be to update your belief. This factually proves one conclusion:   The ignorant and the close-minded shall be left behind if they don’t adjust their thinking. If your thinking is rigid, you risk being obsolete. 3. Second-Order Thinking 2-o-Thinking ( as I call it )   considers the effects of our actions to the second order   ( or more. ) Meaning,   “If this happens, that happens. And if that happens, what happens?” Second-Order Thinking Why is this important?   AI can perform scenario analysis on different events. Meaning, if you can’t hypothesize an outcome in second-order, AI can map out potential outcomes, further boosting your analysis. One caveat, though, is that AI generates outcomes from historical data, so while data provides context, it reduces (but doesn’t entirely eliminate) second-order ambiguity. Meaning...the only way out is through.   You  must take action regardless.  ( See #7 - Bias to Action - below . ) Action Kills Ambiguity Swipe left for more. 4. Critical Thinking As the title suggests, this implies the art of thinking critically using whatever information is at our disposal to solve a problem logically. And not everything that glitters is gold—Don’t take everything at face value. Not everything that glitters is gold. Case example When writing this article, I asked ChatGPT for “Sample mental models in the age of AI,” and it also recommended   “R&D as Search,”   whatever that is.   Inexperienced-me would’ve considered it, but critical-me, already aware of mental models, had to look it up to confirm if indeed it was a thing. It wasn’t. Why is this important?   AI is a tool and an assistant for that matter...but   don’t take its output as gospel.   Critically assess if: The answer makes sense , and The answer is helpful. You bear the results of your actions, not Copilot. 5. Systems Thinking Systems Thinking involves   analyzing an entire system, its constituent parts, and their cause-and-effect relationships. A System Life as a System Why is this important?   AI is   a  second brain   in cultivating your system. It can help analyze a system, create new ones, or identify blind spots in existing ones. Swipe left for more. 6. Inversion Thinking Inversion Thinking involves   thinking the opposite of the intended goal, then doing its  inverse . In practice, it involves seeing what guarantees failure, then doing everything in your power to avoid it. Inversion Thinking Charlie Munger was a huge proponent of Inversion Thinking, using it in much of his investment and life   theses. Charlie Munger on Inversion Thinking Why is this important?   Sometimes   the best thinking comes before AI. Sometimes the best accelerator is not running towards something...but from something, and AI can’t do that for you. Quick Plug - The Weekly Chronicle Hopefully you’re gaining some value from this article. If you are,   kindly consider supporting me by   joining my newsletter — The Weekly Chronicle — where I share   Motivational and Personal Development   Insights every Sunday in under one minute.   Specifically for   people wanting to  improve their lives   and   better themselves every day. More eyeballs on my work helps me be more candid, clear, and insightful. Plus, I want to learn more and share better, too. It’s free. Thank you. We resume reading. 7. Bias to Action Bias to Action is a   natural tendency to act,   favoring   action  over  inaction. It’s   more of a behavior than a model...but exemplary for this age of accelerated information access. Why is this important?   Bias to action is a trait independent of AI—A non-causal relationship. In other words, the presence of AI shouldn’t stop someone from taking action regardless. You don't need the full picture to get started, but you need to start if you want to get the full picture. (Or at least achieve what you needed the picture for.) One could brainstorm their way to planet Pluto, but   action will always be the catalyst.   People feel safe researching...but it’s the outliers that   win by  taking action. AI is not needed here—Common sense and Execution are. 8. Latticework of Models & Mental Models Plasticity 2-in-1. The Latticework of Models is of a network of   interconnected models from various disciplines.   ( Disciplines including Technology, Engineering, and more. ) A Latticework of Models (Drawn by Google Gemini) On the other hand, Mental Models Plasticity (MMP) is   the ability to switch mental models interchangeably depending on the scenario. Plasticity refers to the quality of something that can be easily shaped or molded. Just like   Neuroplasticity —The brain’s ability to change through the reorganization of its neural networks. Mental Models Plasticity So when you combine MMP & the Latticework of Models, you get: MMP + A Latticework of Models So, by definition: The Equation for Mental Models Mastery Why is this important?   No one model can solve an entire problem on its own. Another thing: (Generative) AI can generate a latticework any time, depending on the problem to be solved. It can also drill down to the First Principles of each model and map interrelationships that are not readily identifiable to the human eye. Additionally, both models provide a "playground" to test your mental models arsenal, just like you would try new tricks on a pitch. You get a good ground to test your models, hypotheses, and combinations across different scenarios, honing your decision-making muscle over time. 9. Cynefin Framework Cynefin categorizes problems into five domains:   Clear, Complicated, Complex, Chaotic, and Confusion. The Cynefin Framework Why is this important?   Some problems are not so straightforward for AI to solve, plus the skill of identifying a problem’s complexity helps even before introducing AI to the mix. Furthermore,   AI isn’t needed to solve all problems.   ( Ref. Bias to Action above. ) Cynefin classifies these problems— You judge whether or not AI is needed. 10. Probabilistic Thinking Probabilistic Thinking   estimates the likelihood of different outcomes. Probabilistic Thinking Why is this important?  PT is a mental muscle to be built that comes with experience and arithmetic, specifically   Probability . You don’t have to be a Math expert; Rather, you’re better off developing the ability of foresight. AI can also map out possible scenarios...and to some extent, predict the chances of each happening ( at least from the data it’s trained on. ) And again, the human bears the brunt of the consequences. 11. Critical Thinking Pretty straightforward. Critical Thinking is   analyzing the available information   to form   sound  judgments   and make   informed,  logical  decisions. Why is this important?   Even AI itself admits so. AI Disclaimers 🌟 THE BOTTOM LINE AI has infinite memory—We love that already. But humans still possess the edge in judgment, wisdom, and discernment. ( Or at least...so long as we realize that. ) Mental models can help us become great thinkers and, to some extent, prolific problem solvers. Legends of the past have shaped cities, moved economies, and changed the course of history th rough their use of mental models. And so can we. And with the onset of AI, it will be no different. Take nothing else from this essay but this:   AI is but a tool—A  means to an end. And   those who harness it and know when to use it will rule the world. Harness AI into your Thinking. The best is yet to come. Peace, . . . ~T.K.K Subscribe to The Weekly Chronicle Newsletter  for motivational insights and high-impact ideas in under one minute. Delivered every Sunday.

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