thesis
ai makes it feel like there is always a little more to do. always one more refactor, one more optimization, one more pass that squeezes a few more points of performance out of something that already works. the model will generate that next improvement forever, because it never gets tired and it never runs out of ideas. but unless your system is fully autonomous, you are still the one who has to review, understand, and ship every one of those improvements. the machine got faster at proposing work, and i did not get any faster at absorbing it. that gap is where burnout hides, and the way i keep it from opening is by leaving myself room to breathe.
context
before ai, the supply of "one more improvement" was limited by how fast i could think one up. coming up with the next idea took real effort, so there was a natural pause built into every iteration. ai removed that pause. the next idea is now free and instant, and there is always another variant waiting the moment i finish the last one. stopping starts to feel like leaving performance on the table, even on the days when stopping is clearly the right call.
argument
