Path 1 · 3 steps Draft
The job after AI
What product management became once building stopped being the expensive part, where the value went, and how to hire for the job as it is now.
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Start →Path 2 · 2 steps Draft
Judgment and feedback
Why reading AI output is not a check, and the few habits that tell you, soon and plainly, whether you were right.
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Start →Path 3 · 5 steps
Evals for product people
From “I tried it and it seemed fine” to a score you can rerun. By the end you will have real cases, a rubric you wrote, and a first run to compare against.
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Start →Path 4 · 2 steps Draft
Hands-on tools
The reading skills and the kit a product leader needs now: what to read in the code, and what to use, choose and test in each category.
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Start →Path 5 · 2 steps Draft
The market and the money
One mechanism behind the headlines about roles, pricing and valuations, and a way to place your own product on the risk map.
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