You built your business software with AI. Now what?

The last five, six, maybe seven clients we've worked with have all tried to build some of their software with AI first. These aren't software developers. And honestly, I think that's great. A CPA I talked to recently built his own lead magnet in Claude Code, then emailed me asking how to put it on the internet. That's kind of where we are. If you can build a working version in an evening, what's left? The answer really is kind of everything. First, knowing what to build and why. I see people on social media running AI on a loop every night, producing 150,000 lines of code a day. But who cares how much you can produce if nobody wants it or nobody's going to use it? The question isn't "can I build?" anymore. It's what do I build, why do I build it, and what makes it good. That's the human element of product design. Second, making it hold up. What happens after it's live? What happens when people use it? How reliable is it? Are there bugs? We're so addicted to speed right now that most people skip the step where you go back and actually test everything. Third, knowing when to hand it off. Build it yourself while it's a prototype. Prove the idea, show your team, test it with a few customers. But once customers use it or money moves through it, think about what happens if it goes down. Imagine logging on to Google and it just wasn't working. You'd move on. It's never been easier to build. Knowing what to build is the most important thing. And once it starts paying off, that's probably the time to bring in a software developer.