AI Makes Mistakes. So Does Everyone. Here's What Matters.

Everyone makes mistakes: humans and AI alike. Most AI criticism focuses on the mistakes AI makes and misses the real benefits.

Think about any process where you're working something out: writing, coding, planning, analyzing, doing math. Your first pass (of anything complicated or important) has dozens of things wrong: wrong structure, wrong logic, things you left out entirely. You don't think of each one as a "mistake" in the moment, it's just the process of getting from a rough idea to something good. But those are mistakes. That's how it works for everyone, every time.

AI makes mistakes too. You go back and forth, fix what it got wrong, redirect it, add what it missed. The number of mistakes matters, but so does the pace at which you move through them and past them. What I've found, and what others who use AI seriously will tell you, is that even with all of that, the overall process is 50 to 80 percent faster. (And if that isn't the case for you today, I encourage you to experiment more).

There's something else that gets missed in the criticism. The old process required close to 100 percent focus: you had to sit down and painstakingly work through everything yourself, word by word, line by line. AI opens up a different mode entirely. You can collaborate conversationally, speak your thinking out loud and have it work with you in real time, come back to something mid-thought. This post started as me talking through an idea out loud with Axamy. That's a genuinely different way of working, not just a faster version of the old way.