Mousepower: agents that can’t be measured, can’t be managed. — Maximillian Piras, Yutori
Maximillian Piras from Yutori argues that AI agents — programs that control a computer like a human would — have a measurement problem.
We count tokens (small text units that agents consume) but don't know if that actually delivered value. His comparison is James Watt's "horsepower" from the 1700s: an imprecise but useful metric that got people to try steam engines. Piras suggests we instead focus on concrete results — bugs fixed, support tickets resolved. He also presents an "entropy matrix" for choosing which tasks suit agents: the best tasks are neither too simple (a script suffices) nor too complex (too hard to verify), but fall in a middle ground where it's cheaper to check a result than to solve the problem from scratch.
Vibekollen prepared this summary with AI from the original publication. The content belongs to AI Engineer.
