THE THING THAT DECIDES WHAT AI CAN AUTOMATE ISN'T INTELLIGENCE, IT'S WHETHER YOU CAN MEASURE IT
every agent loop is four parts. a trigger, the work, a goal you verify, an output you log. people obsess over the first two and skip the third
phase three is the whole thing. not because verification makes the loop good, but because it decides whether the loop can exist at all
look at the two examples. "make this python script faster" loops fine, you benchmark it, you get a number, the system knows when it's done. "is this linkedin post good" never loops, because nothing tells it to stop. same model, same tools, same effort
so the line isn't drawn where models get dumb. it's drawn where the finish line stops being a number. loops eat the measurable half of your work and leave the rest untouched, no matter how smart the model gets
which means the last thing to get automated is taste. the exact thing everyone promised would go first
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