Miriam's department head wants a number by the end of the month: how much faster is the team with AI? Instead of one big shiny number, we follow Miriam, the team lead, with Daniel and Jonas for 4 weeks like a diary. Week one: only watching. Weeks two and three: one person works with the new rule, the other with the old one, and they swap after a week. Week four: looking at the results. They measure with a car dashboard of 3 gauges. Along the way, we meet Goodhart's law, a broken Thursday that a summary written by AI hides in the median, and a single page for the budget meeting. And one last time: your number.
Chapters
00:00 Opening
01:04 Welcome
01:54 The First Temptation
03:08 The Dashboard
04:09 Fuel Gauge and Warning Light
05:37 Week One: Just Watching
07:22 A word from us
08:14 Switching Sides
09:48 Week Two
10:57 Week Three
12:24 Week Four: The Smooth Summary
13:50 One Page for the Budget Meeting
15:29 What Nobody Knows Yet
16:25 Your Number
All sources, studies and the companion document for this episode:
https://clnwork.com/podcast/healthy-ai-first/en/episode-08
Miriam, Daniel, Jonas and the department head are fictional. In episode 1, Daniel stood in for the participants of the METR study; from episode 2 on, he is a fictional colleague on Miriam's team and did not take part in the study. The course and results of Miriam's experiment (the hard week two, the broken Thursday, Daniel's understanding check) are made up too; they show one possible interpretation of a pilot, not measured or typical values. A real experiment may also show no improvement or a deterioration.
Healthy AI First is AI-researched and AI-generated, narrated in Björn's voice, recreated with AI, and reviewed by him.
A quick word from us: CLN Work
Björn is one of the founders of CLN Work. CLN Work helps companies adopt AI in small, verifiable steps: finding where real capacity is, which processes can be automated, and how to use AI interactively. The decisions stay with you.
Book a free, no-obligation 30-minute conversation: https://clnwork.com/book
More about the approach: https://clnwork.com