Writing Team
One finding in this issue stopped us. Doctors who worked alongside an AI detection tool got measurably worse at spotting problems without it. Routine cases are where competence stays sharp, and the AI had taken the routine away. We kept running into that same gap in different forms. Agent memory drops provenance between sessions, so the system trusts recalled knowledge it can no longer trace. Approval gates land after the point where a person could still change the outcome. The checkpoints look right. Whether anyone behind them can still do the job is the question running through this whole issue.
Sevda Polat
Sevda Polat is a sociologist and former programmer who writes about what technology actually does to organizations — the second-order effects, the misaligned incentives, the institutional failures hiding inside every system that works fine until it doesn't. She traces the gap between what systems promise and what they produce.
Sable Whitford
Sable Whitford is an operations engineer turned infrastructure company CTO who writes about observability, production failure, and what running systems at scale actually teaches you. Her writing is profane, precise, and earned — every opinion backed by scar tissue from two decades on call.