Growing a single SoundCloud channel from a few thousand followers to a network of nearly a million.

To build that platform, I had to listen to thousands of submissions every week and make hard decisions. In addition to making a weekly DJ mix show, I posted at least 5 songs per day, 7 days a week for years. No days off. I even missed National Donut Day, TWICE. What the hell was I thinking!?

But dealing with so many mp3s, I had to develop systems. In fact, I got a repetitive stress injury from using my computer basically around the clock with no breaks. While others were content to do everything by hand, I was always building scripts to auto-name, add artwork, and tag the files to make my job easier. Automation was essential to produce the kind of volume needed to keep the engine running.

That was 2012.

Now I do the same thing with AI, just much faster, and across a much larger set of small tools.

The money for most of us today isn’t in creating a software subscription that’s going to change the world or make us a quick million. Instead, it’s in making small improvements to the thousands of inefficiencies each of us witness and deal with daily.

We can probably each sustain around three major software projects at any given time that we can go deeper on, that require multiple months or even years to build. And in between that, I estimate that we can each craft dozens to hundreds of little tools that make our lives, and probably no one else’s, smarter and better.

This is the kind of efficiency waiting for all of us with AI coding. No more, no less.

Does everyone need these tools? No. But if you are in an industry or endeavor where volume and speed are important, this is the main benefit you should be thinking about.