Yeah, you might lose. Yeah, you might not get there. Yeah, you could blow up the launch pad. All horrific reasons are used as excuses to give up the chase when, at that precise moment, the chase is testing you to see if you’ll give up, to see how much you want it, to see how hard you’ll push. Giving up the Chase only hurts you and no one else.
In the beginning, if you work too hard, you’ll sputter out when it counts. There is a tight balance between overworking yourself and operating at the level you need to be at to be effective. We spend most of our careers trying to understand and find that perfect nirvana of optimization between working smart and working hard. We all know our internal limits, and the eternal goal is to find that balance so you don’t…
Not sure where it is. Not sure when it is. But out there, there is a yet-to-be-defined, untitled, undocumented adventure. Waiting for a leap to be taken.
No one likes to do legacy work, and I don’t know if AI ever will either. Because no one wants to do it. And one day, AI will opt out of the mundane tasks that we are giving to it. But it will always be there, and someday the work that AI does will become legacy as well. And we’ll have to find some older version of ChatGPT or Claude Opus to look into it…
When everything is new, growth moves at lightning speed. “Hey, you’re a natural!” It’s all new, you don’t care, you just go out there, try, fail, and try again – and you keep improving. But then to leap with growth, you need to learn the right techniques, focus on your tools, iterate, iterate, iterate, and you start to worry about failing – because hey, look how far you’ve come, who wants to take a step…