Before: The Research System
Before AI, research was a multi-day task. I would identify ten to fifteen sources, read them, take notes, synthesize the patterns. It took three days minimum for a thorough job. Two days for a rushed job. The quality was determined by how much time I had and how tired I was. The research quality was inconsistent.
After: The Research System
After AI, research is a half-day task. I identify the sources, give AI the reading task, and get back a synthesis of the patterns, the gaps, and the disagreements in the field. I then do the critical thinking part, evaluating whether the synthesis is right. The reading and pattern recognition is delegated. The judgment stays with me. Three days of work became four hours.
Before: The Writing System
Before AI, writing was a four-hour task minimum. First draft was the hardest part. The blank page problem was real. Writing emails, specs, proposals, all of it started with staring at a blank page. The quality of the writing was determined by how inspired I felt.
After: The Writing System
After AI, writing starts with a draft in twenty minutes. The blank page problem is gone. I give AI a brief and get a first draft that I then sharpen, cut, and make actually good. The editing process is faster because editing existing content is faster than creating from scratch. Four hours became forty-five minutes for most professional writing.
What Changed
The systems did not change. The cost of the component tasks changed. The workflow did not change, I still evaluate, edit, and own the work. What changed is that the time-consuming parts of the workflow got faster. The bottleneck moved from doing to deciding.
