Thankfully with AI, it’s easier than ever to prototype a solution and feel your way to an answer. I’ve done it now with a few projects and experimented with a few approaches.
Sometimes AI surprises you with a solution. Sometimes you try things until the right approach presents itself. And other times seeing one thing sparks an idea for something new. You know it when you see it.
But is that enough? Does prototyping lead to the best solution? I have a feeling that we could be missing out on something by narrowing our approach. If you’re going down a narrow path, you might not be considering other options. Blinded by what’s in front of you.
I still have lots of experimenting to do to figure it out. Are you finding the same thing, or am I overthinking it?