I tracked everything my AI agents produced for 90 days, the results surprised me

r/artificial
Generative AI

I expected the value to be in the time saved. That's not where the interesting part was. After 90 days of running serious agent workflows across research, writing, and decision, the thing that stood out the most to me wasn't really the output quality, but instead it was the signal density inside the process itself.