You Have to be In It to Win It — by Dan Lynn
By Dan Lynn
You can't really understand something transformative by reading about it from a distance. You have to get your hands dirty — be in it.
AI is the obvious example right now. If you want to capitalize on it, you can't just follow the headlines. You have to actually use it, every day, until it stops being abstract.
That's what I do. I'm hands-on with Claude, ChatGPT, Cursor, Gemini, Grok, and Lovable. I spend four to eight hours a day deep in it — vibe coding, researching it, listening to AI podcasts, reading about new breakthroughs, investing, and exchanging ideas with other like-minded people.
The best way to learn about it is to go deep. You have to be in it to win it.
Questions this Key Learning answers
How do I understand AI instead of just reading about it?
The author’s lesson is to use AI directly until it stops feeling abstract. Headlines and documentation can explain features, but repeated hands-on use reveals what the tools can and cannot do. Our analysis adds that practice develops judgment: a feel for missing context, false confidence, failure modes, and promising prototypes.
How often should I use AI to develop real judgment?
The author uses AI every day and goes deep through building, researching, reading, listening, investing, and exchanging ideas. The required depth depends on the goal, but our analysis emphasizes deliberate, repeated use rather than distant observation. The core principle is the author’s phrase: “You have to be in it to win it.”
What should I actually practice when learning new AI tools?
The essay points toward hands-on work: using multiple tools, coding, researching, and exploring new breakthroughs. Our analysis makes that practice more specific—test AI on real work, compare outputs, find where it fails, and refine the instructions. That repeated use builds the practical understanding that reading alone cannot provide.