Product - Tech - AI - Strategy

I spent two decades leading product and technology organizations of 50 to 500+ people, most recently as CTO across media, online marketplaces, and iGaming. Now I work with companies on AI adoption: what to try, what to ignore, and what changes once it's real. I run a handful of side projects, built spec-first with my AI friends. Claude, Codex, and Gemini do the heavy lifting, and a few others get consulted for special cases or when nobody can agree.

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Projects

  • The peterfrey.app home page, showing the article grid above the project grid.

    peterfrey.app

    This site. Written as a full specification before any code existed, then handed to AI builders to construct.

    peterfrey.app

  • The Job Automation Index leaderboard, showing occupations ranked by how exposed they are to AI.

    The Job Automation Index

    A task-level index ranking 100 U.S. occupations by how exposed they are to AI automation.

    aijobindex.app

  • The AI Power Rankings index page, showing fifteen labs scored across ten dimensions.

    AI Power Rankings

    Fifteen frontier AI labs, ranked across ten dimensions by a panel of AI evaluator models. The structural-power index of who actually leads AI.

    aipowerrankings.com

  • The AI Dev Check-in start screen, showing the Express and Comprehensive tracks.

    AI Dev Check-in

    A fast read on what a development organization is using AI for today, and the starting point for deciding what to change.

    aidevcheckin.com

  • The AI Maturity Assessment landing page, showing where the questionnaire starts.

    AI Maturity Assessment

    A framework for assessing where an organization stands on AI, across eight strategic dimensions or eleven business functions.

    aibenchmark.app