If you’re in the middle of building something with AI and it feels messy, good. That’s where the learning actually happens.
You don’t get clarity before you start. You get clarity by breaking things, fixing them, and finding what works through the process.
Every messy workflow you untangle gets you one step closer to a system that actually runs itself. Keep pushing, keep testing, and keep building.
That’s how you get from experimenting to execution.