Are you getting better, or just shipping faster?

There's a feeling most of us won't admit to.

Have you ever finished something, a document, a brief, a code snippet, and found it genuinely good? Cleaner than your usual drafts, faster than you thought possible. You look at it and feel something that isn't quite pride. You feel adjacent to it. Like you were in the room when it was made, but weren't the one who made it.

Nobody talks about this feeling. But I think it's worth sitting with.

The friction is the point

When So Good They Can't Ignore You was published in 2012, Cal Newport made an argument that annoyed a lot of people when it came out: passion doesn't create great work, skill does. You don't find your calling and then get good at something. You get so genuinely, undeniably good that meaning has nowhere else to go.

He calls it career capital: rare skills, judgment, gut-level knowledge. You build it through deliberate practice. Not just doing your job for years, but the uncomfortable kind, at the edge of your ability, where you're failing and figuring it out.

The friction is the point. The resistance is what makes you better.

An AI-first workflow changes where that friction lives. Output comes faster. The practice that builds you, the resistance, the struggle, hasn't vanished. It's moved.

Updating Newport's frame

The answer isn't to throw away the tools. And it's not some romantic argument for doing things the hard way.

The new practice is learning to command it. That means knowing, with precision, what you actually want before you open the chat window. Here, write this works when you've already done the thinking. Writing a sharp prompt, a clear PRD, a well-structured brief: these are hard skills. They require you to have done the thinking first. AI just makes it obvious when you haven't.

So deliberate practice hasn't disappeared. It's moved. It lives now in the quality of your inputs. Your prompts. Your briefs. Your ability to structure a problem before you ask someone, or something, to help you solve it.

The people who are genuinely good at working with AI aren't the ones who use it the most. They're the ones who show up with the clearest thinking. And that clarity you still have to earn the old way.

The honest question

Newport would say: meaning follows mastery, not the other way around. Mastery is career capital. In a world where AI does the output, that principle doesn't change. Use every tool available. The question is whether you're still building it or spending it down. Most people never ask it. The ones who do, and can answer it honestly, have a clarity that's rare. That makes them valuable.