Everyone talks about how easy it is to build an app with AI now. But building the app is often not the hardest part. The harder questions are: - What should you actually build? - Is anyone willing to pay for it? - How do you validate the idea before spending weeks on it? - How do you turn a working prototype into something people keep using? - How do you keep track of the endless little tasks once development starts? That’s why I’m starting to think the real advantage of AI isn’t simply “AI can code.” It’s being able to build a complete workflow around an idea. For example: Research → validate → build → organize → launch → collect feedback → improve For the build side, tools like Lovable and Claude Code can handle a lot of the implementation. Then something like Floment can be useful for keeping the projects, to-dos, progress, and day-to-day execution organized in the same overall workflow. You don’t need to start with some massive SaaS idea either. A small tool that solves one annoying problem for a specific group of people can be a much better starting point. Curious what everyone here thinks, if you could build one tiny piece of software for a problem you personally deal with, what would you build?