January 27, 2026 · 9 min read
I really want to use AI the right way. I want AI to be my success team. The team I could never manage to assemble (or afford). The team that frees me to do what I do best and pushes me to maximize my potential. I don't want my AI to make me lazy, or intellectually sluggish, or to allow my brain to atrophy.
I don't want to be seen as "artificially intelligent" because my blog posts include an AI disclosure (the right thing to do, BTW), even though I'm committed to finding ways to use AI to help me think deeper, better, and do my best work.
To that end, I am always looking for tools and frameworks to venture out and explore the best way to deploy my AI team, helping me produce better products while training me to become more authentically intelligent.
In this video (Give Me 18 Minutes and I’ll Make you Dangerously Smart (with AI)), Sandeep Swadia posits that most people are using AI backwards.
They're training it to replace them while their own cognitive abilities quietly atrophy. But the most effective professionals have discovered something counterintuitive: AI can make you dangerously intelligent, if you know how to use it.
The difference comes down to a four-step framework that flips conventional AI wisdom on its head. Instead of asking AI for answers, the top performers use it to sharpen their thinking and multiply their impact.
Step One: Intelligent Laziness
A Harvard Business Review study found that CEOs waste 72% of their time in meetings that don't move the needle. We've all sat through the one-hour meeting that needed only fifteen minutes to reach a decision. Why do accomplished people feel trapped this way?
The culprit is a biological glitch called completion bias. Your brain releases roughly the same dopamine hit whether you spend time perfecting an internal email or crafting a million-dollar strategy document. When everything feels like priority one, nothing actually is.
The solution requires seeing your work through two distinct curves.
The first curve has capped payoffs. It rises quickly, then flattens into diminishing returns. Tasks like formatting slides, writing internal emails, completing expense reports, and attending FYI meetings all live here. No amount of additional effort moves the needle. Nobody remembers if you spent hours choosing better fonts for slides that were viewed for six minutes.
Nobel Prize-winning economist Herbert Simon called this "satisficing," a combination of satisfy and suffice. Stop when it's good enough. This is your zone of intelligent laziness.
The second curve has uncapped payoffs. It stays flat for a long time, then rockets upward. Customer interactions, product design, pricing models, finding the right co-founder or life partner. Being 1% better here doesn't yield 1% better results. It solves the other 99% of your problems. This is your zone of obsession.
Johnny Ive would obsess for months over the internal component design of the iPhone. Parts no customer would ever see. Steve Jobs never complained about the cost because he understood this was second-curve work.
The DRAG Framework
So how do you decide what to outsource to AI? Use the DRAG framework: Drafting, Research, Analysis, and Grunt work.
Drafting solves the blank page problem. Getting from zero to one is the hardest part of any creative work. Let AI generate that crappy first draft. It will be atrocious, and that's fine. Now you have a starting point. Your brain has something to react to, and you're off to the races.
Research addresses information overload. Deep research that once took a week can now be accomplished in ten minutes. AI fires off hundreds of secondary queries, crawls the web, consolidates results, checks its own work, and delivers a rich document. You just hired a consultant for a week-long project.
Analysis is where AI finds patterns humans miss, especially in unstructured data. Let it take the first pass at summarizing and reasoning through complex information.
Grunt work covers the boring manual tasks: reformatting, translating, tabulating, cleaning data. Just give it to AI.
The key principle: apply DRAG only in your zone of laziness. If a task requires human judgment, intuition, decision-making, or taste, that's zone two work. You do it yourself. But you may find that 70-80% of your repetitive tasks live in zone one.
Step Two: The Intelligent Hill
For 300 years, Isaac Newton convinced us the universe was a clockwork machine. Then Heisenberg showed that reality exists as a cloud of possibilities at the quantum level. You need a similar shift in how you approach AI.
Stop treating AI like a calculator. Type 2+2 into a calculator and you always get four. But AI is a probability engine. Ask the same question twice and you'll get different answers. It will happily make things up unless you ask it to verify. AI is brilliant some days, confused on others, and always refuses to admit when it doesn't know something.
Most people use zero-shot prompting: "Give me the best new business idea." AI will confidently respond, but you're rolling the dice and hoping to win.
To get elite results, climb the intelligent hill through four camps.
Camp One: One-Shot Prompting. Give one clear example so the model doesn't guess blindly. "Write a LinkedIn post about remote work. Use this specific post as a style guide." That simple act already beats rolling the dice.
Camp Two: Few-Shot Prompting. Provide three or more examples so AI can find patterns of style, substance, and tone. Attach documents, links, or your prior work. This grounds the model in reality instead of letting it hallucinate. Pro tip: ask AI to explain the pattern back to you first. You'll learn how your own brain works.
Camp Three: Chain of Thought Reasoning. Ask the model to think long and hard before responding. Your job is to slow AI down and force explicit clarity by asking it to show its work. "Do not refine my research report yet. List the top three most impactful areas of improvement. Tell me why you think so and suggest how we address each. Think step by step. Show me your thinking for each step."
Camp Four: Agents. Think about who you would hire for a task. A researcher, an analyst, and a copywriter can become a single agentic prompt: "Do deep research on trends in topic XYZ. Analyze and cross-reference all trends to find the three most important ones. Draft a one-page memo summarizing the findings."
Remember: you're dealing with a drunk genius. Make sure you're the one driving the car.
Step Three: The Intelligent Gym
Here's where most people stop, and where the top 1% separate themselves.
Everything we've covered so far makes you fast and efficient. Less friction, more output. But the plot twist is this: long-term intelligence isn't built through convenience. It's built through resistance.
Most people use AI as a wheelchair for the mind. If you sit in a wheelchair when you can still walk, eventually your legs stop working. Atrophy is happening faster now than at any point in human history.
The top performers use a different principle: for information tasks, use AI to remove friction. For transformation tasks, use AI to add friction.
Think about how muscles are built. Through resistance. You lift increasingly heavier weights to introduce wear and tear to muscle fibers. They break and grow back stronger. This is progressive overload.
But with our minds, we do the exact opposite. We avoid resistance. We outsource our thinking. "Write my LinkedIn post. Fix my resume. Summarize this book." That's like going to the gym and asking someone else to lift weights on your behalf.
When astronauts spend months in zero gravity, their muscles and bones atrophy by up to 20%. AI is zero gravity for your thinking. No friction, no load, no growth.
AI as Your Spotter
In any gym, a spotter doesn't lift the weight for you. They stand beside you and help you lift. They make sure you don't get crushed.
Here's a concrete application. If you want to learn a concept, study it yourself first. Then go to your AI spotter. Paste the concept text and prompt: "I need to master this concept. Quiz me on it."
Then apply progressive overload across four levels:
Level one: Quiz me like I'm a high school student. Level two: Ask me questions like I'm a college student. Level three: Grill me like you're interviewing me for an executive position. Level four: Challenge me like an irate boss who thinks I'm unprepared.
This approach truly strengthens and deepens your understanding.
Step Four: The Intelligent Fool
The biggest obstacle to intelligence isn't ignorance. It's ego.
The smartest people are obsessed with what they don't know. This is the fool's advantage.
When Satya Nadella became Microsoft's CEO in 2014, the company had missed two massive disruptions: search and mobile. The cloud race was slipping away to Amazon. The internal culture was toxic and political. Everyone was terrified to admit gaps in their knowledge.
Nadella made one cultural move. He told the entire company: "We're switching from a culture of know-it-alls to learn-it-alls."
Wall Street was skeptical. But Microsoft's market cap went from $300 billion to over $3 trillion. Ten times growth in a decade.
Here's why this matters: neuroscience tells us the brain can rewire constantly through neuroplasticity. But this rewiring happens only at the edge of your ability. It happens when you're making errors. When you're frustrated. When you feel that discomfort.
If you aren't feeling stupid, you aren't learning.
AI has handed you the ultimate training ground to be a student again. You can bring your beginner's mind to AI all day long. Ask questions you would never ask colleagues out of fear of embarrassment. AI doesn't roll its eyes.
Pick one thing in your field that you don't fully understand. Something everyone thinks you know, but you know you don't. Ask AI the most basic questions you can think of. Then ask: "Can you explain it in a simpler way? Teach me like I'm ten years old."
You'll feel ridiculous at first. That's the whole point.
The Path Forward
The trick to mastery is returning to simplicity.
Examine any great master across human history and you'll find one consistent pattern: every master is a student for life. You can't be a genuine student while hiding behind a mask of mastery.
The biggest benefit of intelligence isn't the end of ignorance. It's the end of pretending.
Have the courage to play the fool today so you can be the genius tomorrow.
