Carry review outcomes into the next AI draft
Abstracts
Abstracts
A review step loses some of its value if the next pass forgets what was decided.
In “Practical AI systems need boring edges,” I describe a loop: gather context, produce a draft, show its sources, seek review, apply approved changes, and remember the outcome.
That last step matters in repeatable AI work. It connects what a person accepted or corrected to the next pass, rather than treating each draft as a fresh start.
https://grnmn.com/blog/practical-ai-systems/