Great businesses are built on repeatable systems and sustainable solutions. I’m exploring ways to build better tools and products with AI-enabled, human-led workflows.
AI's copy problem isn't just quality — it's quantity. Introducing make-it-make-sense, the first skill in my mims-public repo, built to cut AI output down to something a human can understand on the first pass.
AI adoption is not just about learning a new tool, it's an operational discipline. Reset your expectations, find the use cases worth delegating, and build systems agents can actually run.
AI output is prolific, verbose, and confusing. An editor's procedure that gets it understood on the first pass, demonstrated on the page, editing itself.
Most lifecycle marketers spend their careers reporting metrics that don't move the bottom line. Don't make that mistake. Read on to discover the difference between two different kinds of metrics, the ones that are worth fighting for, and how to present them so leadership actually listens.
A lifecycle marketer's guide to bottom-line relevance: KPIs, attribution, prioritization, testing, and business-impact reporting.
Three months of slogging so you don't have to... This is what I learned about actually working with A.I. — why the loudest takes are getting the picture wrong, where the real difficulty lives, and what your first move should look like.
