I want to start with the moment that actually made this project feel real, not theoretical. We had a demo support bot running, testing random refund flows, and at some point it responded with something like: "I've gone ahead and processed your refund of $34.50." Clean sentence. Confident. Nothing in the terminal complained. No stack trace, no red text, nothing.
Except it never called the refund tool. It just said it did.
That's the moment this whole project stopped being an idea and started feeling like an actual problem worth solving.
Why This Is a Weird Kind of Bug
Normal software either works or it visibly breaks. A server times out, a request 500s, a queue backs up, and something somewhere logs an error. You get a signal. AI agents don't give you that signal in the same way. An agent can respond instantly, with zero errors, and still be lying to the person it's talking to. It can also get stuck doing the same thing over and over, technically "working," while quietly burning API calls and money the whole time. None of that shows up as a failure in the way engineers are trained to look for failures. It just looks like a normal, healthy response.
