A warning against building AI tools that look good but solve nothing. Every AI project needs measurable goals tied to revenue, like faster lead response or qualified leads feeding sales. One practice: flag projects that don't hit a 4-to-1 ROI threshold before you start.
We call that AI theater, right? Or AI compliance theater. This is— so this is something we say. We say, guys, everything that you're building right now, it has to tie in with solving problems for your customers because we are a problem-solving machine. That's what we do. We're supposed to help our customers. So you can't build like a dashboard or whatever. And then that's, that's theater, right? And so even when we think about like something like a boardie, for example, we think about our speed to lead when it comes to how quickly we get back to our customers or even missed opportunities we have for people visiting our website, like PQLs that we identify. So for us, this drives pipeline, which ties in with revenue. I will say in the beginning, maybe even 2, 3 years ago, like when all the new stuff was coming out, there's a lot of theater. I'm just testing everything. I think it's really important that as you're doing this too, I literally have a skill in my OpenCLAW that says, hey, this isn't tied to your goals right now. This isn't going to help you make more money. This doesn't achieve the 4-to-1 ROI for all the things that you want to do. And so it'll push back on me, which is good.
