What AI actually changed in the workflow, and what it didn't
Two lists after a few years of AI in production: the drafts, the operator's seat, and the cost of a regression changed. The approval, the judgment calls, and the handoff did not.
Notes
Short pieces on how the work actually gets done: attribution, lifecycle with a small team, and what changed with AI in the loop.
Lifecycle with a team of two
How two people run ten or more concurrent lifecycle programs: the standard, the checklist, the prompt library, and the two-bucket model, written down first.
Attribution honesty
Why the influenced number and the direct-booked number live in different sentences, and the reporting rules that keep both defensible.