1. Note
    Identifying and implementing AI opportunities: an update

    Results from the first find, prove, scale project nine months in, and why the monitoring layer turned out to be the bigger asset.

  2. Note
    Influencing without authority

    None of the teams I work with report to me. Notes on getting workflows changed anyway.

  3. Note
    My RAG setup is just Obsidian now

    The clever retrieval experiment gave way to plain markdown files, and it works better.

  4. Note
    From AI experiments to AI products

    A new job where AI is the whole job, and the first thing I've had to unlearn.

  5. Note
    My first RAG experiment

    After a year of hand-feeding custom GPTs, I finally tried retrieval. Notes from the first rough version.

  6. Note
    How I'm putting AI to work as a product manager

    Managing six people and maintaining custom GPTs turned out to be the same lesson about context.

  7. Note
    Staying accountable for AI-assisted work

    What I expect from my team, and from myself, now that a lot of our first drafts come from AI.

  8. Note
    How to get buy-in from stakeholders with competing priorities

    What I've learned about winning resources for a product when every decision-maker is measured on something different.

  9. Note
    What taking a product from zero to one taught me

    A three-month reflection on launching a recruiting platform across 26 offices.

  10. Note
    The Questions I Ask Before Writing a PRD

    The questions I use to clarify a product problem, test assumptions, and prepare a PRD before writing requirements.