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AI Careers
As AI tools shift from answering questions to carrying out multi-step tasks, someone has to scope the work, check it and answer for it. That supervision is a learnable skill, and you can start building and showing it before you ever have a team.
AI Careers
The fastest way to get good with AI is to use it on the work already on your desk. This week-by-week plan has you map your tasks, redesign two of them, practice daily on real work and then measure and share what changed.
AI Careers
The routine tasks that used to teach new hires how to make good calls are being handed to AI. A practical guide for early-career people on getting experience with decisions under uncertainty anyway, from owning small calls to studying how seniors made theirs.
AI Careers
Plenty of people now save a full day a week with AI, and most of them have no plan for that time, so it quietly fills up with more of the same tasks. A practical guide to deciding where the hours go and how to raise it with your manager.
Learning AI
Staying relevant as a PM comes down to two skills, used on your own work and used to ship AI features. A 12-week plan that keeps them separate, and gets you ready for the interview.
Learning AI
If you don't write code, the specific AI certificate you pick barely matters. What you build with it afterward, and whether you can talk about it in an interview, is what changes your prospects.