It’s long been said that in business, what you measure tends to improve.

I’d like to propose a slight addition to that for the AI software age.

If you’re exploring building with AI, you’ve probably got multiple (maybe even dozens) of half-baked projects and ideas floating around. I know I do.

But which of these might actually become something, and which are most likely to be abandoned?

Easy.

In software, what you actually use gets better and what you don't stagnates.

An AI project that you think might be cool for someone else is unlikely to go far.

An AI project you use/need/rely on every single day?

Much more likely to become something great.