Building something impressive is easy.
Solving the *right* problem is not.
Lately, I’ve been paying more attention to where teams rely on manual workarounds,
Repeat the same fixes, or accept small errors as “normal.”
That’s usually where automation actually creates value.
AI feels most powerful when it removes the friction that people have stopped questioning.
Curious—when you look at a workflow, what tells you:
“This is a real problem worth solving?