Volume 53: What Would Make AI Progress Matter to You?
AI evaluation starts with a real task and a clear definition of success. Turn a familiar failure into a repeatable test, then check whether a new prompt or tool improves the result.
The AI Future I Want for My Son
AI-assisted biology research gives me hope for better answers to disease. As someone who works in specialty pharmacy and is becoming a father, I want those possibilities discussed as seriously as AI's risks.
Steal My Prompt Vol. 53: The Major Decision Pre-Mortem
An AI decision pre-mortem turns concerns about a major choice into specific questions to investigate. Use this reusable prompt to identify missing information, possible adjustments and trade-offs before committing.
Volume 52: A Year In and Still Not an AI Expert
A rule against putting confidential data into public AI tools is a prohibition, not a policy. A real AI policy answers five questions about disclosure, editorial control, data leaving the building, training, and what happens when the tool changes.
What a Weekly Deadline Made Possible
A year ago I felt like an outsider at an AI conference. Fifty-two weekly issues later I am still not an AI expert, and I do not expect to become one. What changed is that a weekly deadline made me use what I learned, and that work became useful to the people around me.
Steal My Prompt Vol. 52: The Direct Report Coaching Plan
Most employee development plans fail because they are written before anyone names what is in the way. This AI prompt interviews the manager, separates fit, skills, and environment, then builds a 30-day observation plan and a 60-day coaching plan around the real cause.
Volume 51: You Can Only Audit What You Already Understand
The rule that makes you label AI work has three conditions, and most workplace writing fails the first one. A watermark is not a label, an unmarked document proves nothing, and in most jobs the disclosure duty belongs to your employer rather than to you.
Being in the Loop Is Not Enough
I handed a job to an agent with computer use, and it finished the work, cleaned up after itself, and wrote the report I would normally use to judge whether it was done. I could check that report only because I already knew every system it touched.
