I found this post from Product Faculty and found it genuinely insightful. 👀 I think these concepts are useful far beyond colleagues working in Product... especially for anyone working with, building, or trying to understand AI products. The more I learn about AI, the more I realize that building great AI products isn’t just about having a powerful model. It’s about measuring whether the AI actually works. 📊 Traditional product metrics tell us things like: → Did people click? → Did they convert? → Did they come back? But AI products introduce a whole new layer of questions: → Was the answer correct? → Was it grounded in reliable information? → Did the AI actually complete the task? → Did the user have to fix the output? → How much did that successful task cost? → Did the AI create a meaningful business outcome? And what stood out to me is that the focus goes beyond: “Is the model good?” The more important question is: “Is the AI actually creating value?” 💡 A model can perform incredi