Wes Pomeroy

Getting good output, reliably

Most of the gap between a useless answer and a good one is what the model was given to work with. These pieces cover how to give it the right material, from working around its lack of memory, to writing your standards down so it doesn't invent new ones, to keeping your work with you when you switch tools.

They also cover sharing AI projects with a team, turning a department's know-how into a reusable skill, and stopping the low-effort AI writing that wastes everyone's time.

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wes@wespomeroy.com

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