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More than a year of writing about working with AI, from the cognitive and the practical to the deeply technical. This is the way in.

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New to AI, just curious The strange, tiring feeling of using it all day, named and explained. Why AI Is Tiring You Out ↗︎ You run a team When one person with AI does what a team did, the job of leading shifts. Thinking Like a CEO in the Age of AI ↗︎ You build with it The full operational stack for agents that hold up, with real patterns. Building MCP Servers: Patterns and Lessons ↗︎

By topic

  1. 01

    Getting better results from AI

    Type less, not more. Why shorter, clearer prompts beat careful ones.

    Read on Substack ↗︎
  2. 02

    Giving AI memory and context

    It has a notebook, not a brain. Stop re-explaining; hand it the context on purpose.

    Read on Substack ↗︎
  3. 03

    AI beyond the chat window

    Stop copy-pasting into a box. Give the model eyes and hands on your real work.

    Read on Substack ↗︎
  4. 04

    Making AI trustworthy

    Confidence is not correctness. Build the scaffolding that catches the mistakes.

    Read on Substack ↗︎
  5. 05

    AI as a factory, not a brain

    Not a genius you consult. A line you build around the model, with checks at every stage.

    Read on Substack ↗︎
  6. 06

    Working with your own mind

    Some of the strangeness of AI is about you, not the machine.

    Read on Substack ↗︎
  7. 07

    Leading and building in the age of AI

    Speed is cheap now and direction is not. The operating minds worth borrowing.

    Read on Substack ↗︎
  8. 08

    The bigger picture

    Step back. What is becoming scarce, what is becoming free, and who pays for it.

    Read on Substack ↗︎

Beyond the writing

I work with teams to connect AI to the data and systems their business already runs on. Retainers, fixed-scope projects, and partnerships that turn "we should try AI" into systems that do real work.

More on the practice