Today was a reminder that as powerful as AI has become, it still isn't something you can blindly rely on, especially if it sits anywhere near the critical path of your workflow. I ran into an issue with something I haven't touched under-the-hood in a couple of months. It's part of my Access database system where I generate images using the OpenAI API. I've been using it for all kinds of things, including slides for my videos so I can get nice, realistic images without having to go hunting around for stock photos. And on a more personal note, I've also been using it to send Lauren a daily penguin. Most mornings I generate a cute little penguin image with a caption on it. It's kind of become a routine.

This setup has been working perfectly fine for months. I haven't changed the code. I haven't changed the prompts. It's just been doing its thing in the background, nice and reliable. Then all of a sudden today, it just stopped putting the caption on the image. The image itself was fine. The penguins were there, the scene looked great, but the caption was either missing, cut off, or completely unusable. So now I'm digging through my code thinking I broke something. I checked everything. The JSON going out looked fine. The response coming back looked fine. Nothing obvious had changed on my end.

After going back and forth with ChatGPT and testing a few different things, the likely culprit became clear. The model behavior changed. Not the endpoint, not my code, but the model itself. The way it handled text layout, which had been good for months, shifted just enough to break what I was doing. The exact same prompt that used to produce a nice, clean caption was now producing oversized text, clipped text, or no text at all. In other words, what I thought was a stable system was actually dependent on a moving target.

This is exactly why I'm always telling people to be careful when they start building systems that rely heavily on AI, especially if they don't fully understand what's happening under the hood. It's the same issue I have with vibe coding. Sure, you can throw prompts at an AI and get something working quickly, but if you don't understand the logic, the structure, and the dependencies, what happens when the model changes and your "working" solution suddenly doesn't work anymore? Now you're stuck trying to debug something you didn't really build in the first place.

Fortunately for me, this wasn't business critical. This was my penguin generator. I was able to play around with the prompts, adjust the caption logic, and eventually switch to a newer model that behaves better and more predictably. After some tuning, I got it working again. But if this had been something I relied on for my business, something tied directly to revenue or customer delivery, that kind of unexpected break would be a serious problem.

It reminded me of the Star Trek TNG episode "When the Bough Breaks." The Enterprise encounters the Aldeans, a society living on a hidden, technologically advanced planet run entirely by a system called the Custodian. Everything works perfectly, until it doesn't. The system begins to fail, and the Aldeans are completely helpless because over time they've become so dependent on it that they no longer understand how it works or how to fix it. That's the danger of relying on something you don't control. When it behaves the way you expect, everything is great. But the moment it changes, or breaks, you're stuck scrambling to figure out a system you didn't build and can't fully see inside.

So the takeaway here is simple. AI is an incredible tool, and I'm using it more and more every day. But it's still a tool, not a foundation you should blindly build on without safeguards and backups. If you're incorporating AI into your workflow, especially anything important, make sure you understand where the boundaries are. Know what parts are deterministic and under your control, and what parts are probabilistic and subject to change. Because as I was reminded today, the rug can get pulled out from underneath you at any time.

LLAP
RR

P.S. I'll include some of the images below that I've generated, and then you'll see exactly how and when it broke and what I had to do to fix it.