Beyond AI as a copy editor

Like most professionals, I started by using AI to polish my writing—something it does remarkably well. But sometimes it framed things in an unexpected way. Or it chose a word that was technically correct, but felt off.

So I started interrogating it. Why that framing? Why that word instead of another? What do I lose—and what do I gain—by trimming 30%?

Over time, two things became clear. First, my writing was getting better—even when I didn’t use AI. Second, the more context I gave, the more satisfied I was with the output.

That changed how I use it. Now, when I’m drafting something that matters I start by explaining the situation. Not in a prompt engineering way but in the human way I would talk to a trusted advisor.

“I need to deliver a hard message to an audience who [X]. This is challenging because [Y]. I’m afraid of coming across as [Z].“

Then I ask for a rewrite with that context in mind and for guidance on what to watch out for.

The rewrite is better, but that’s not the point. What’s more useful is what shows up alongside it: the tradeoffs I’m carrying but haven’t named, the places where action is likely to stall, the moments where structure matters more than wording.

AI isn’t just editing sentences. It’s helping me see the situation more clearly.

Giving context will feel unnatural at first. Every other tool we’ve used trained us not to do this. You give software inputs, it produces outputs, and the thinking happens somewhere else. AI looks familiar, so we treat it the same way.

Over time, patterns emerge. I notice where I hedge or over-explain. I get faster at anticipating resistance. I stop repeating the same mistakes.

The next time I draft something similar, I start smarter.

Taking a minute to explain the situation leads to a better rewrite—and better instincts for next time. That’s how using AI in everyday work builds skill.