An AI system listens to client calls and figures out what feature they want and how to build it. A decision log then records the technical choices, especially ones clients might not understand, so the team has a record later.
let's say on a call, um, the project gets like fully specced out with all of the details. Um, that now allows the AI to say, okay, that was the core idea by the client. The client presented it in that way, or we talked about it in that way, which most likely means they want it to be done in this specific— with this specific approach, in this specific way. And if they— since they want it in this specific way, that approach, um, it means that this feature should be implemented in that way, right? The data here is quite, quite a big thing, but, um, the decision log, the decision log is as well, especially for, in our case, more technical things that the client might not understand or be familiar with.
