AI changes the work.

Humans still have to think.

I test how people and organizations use AI in real work: where it helps, where it creates new problems, and what we should do differently.

How AI Changes Thinking

When it helps people reason, when it overwhelms them, and when they stop questioning the output.

How AI Changes Work

What happens after companies invest in the tools and employees have to use them.

How Humans Adapt and Adopt

Trust, judgment, resistance, accountability, cognitive load, and the habits required to use AI effectively.

Most Recent Essay:

Blog
This Isn't the First Tool That Was Going to Ruin Us
This Isn't the First Tool That Was Going to Ruin Us

What our earlier panic about calculators can teach us about AI, productive struggle, and evolving the way we test for knowledge when presented with technology designed to think for us.

Read more →

In the works….

  • How are schools adapting to AI usage? What impact on grades is being revealed? What does the AI ban in a popular Law School mean for the rest of us?

  • A recent client revealed how much Copilot made him better at his job. A colleague called out her cognitive decline and loss of creativity. Why such a disparity?

  • And why is ChatGPT so good at answering? ChatGPT is best known / used for synthesis which is essentially what a life prompt is triggering. It combines word patterns and proximity so I find it very good for connecting the dots between disparate thoughts. I use it for this a lot. My only critique would be that to make these prompts even better and more credible would be to ask it to base it’s answers in stoicism and or approved therapies like DBT or specific treatments and accredited research/ experts.

    And the Q&A structure has come up consistently in my tests as the best format for keeping it on topic.

  • I’m an AI experimentation and research lead focused on how nontechnical professionals use AI to think through complicated work. I run practical tests, study emerging research, and translate the results into straightforward guidance for people and organizations.

  • AI Researcher & Workflow Strategist — Mellonhead
    I build generative AI workflows for corporations and non-profits, grounded in research and real-world case studies. I build generative AI workflows for corporations and non-profits, grounded in research and real-world case studies.

    The work isn't about picking a tool. It's diagnosing why the obvious tool doesn't fit — then designing around that. I've restructured broken AI workflows from the ground up: fixing the data architecture underneath, documenting the logic so it's repeatable, and handing off something a team can actually run without me.

    Most of the failure points aren't technical. They're human. I've learned to preserve the interface people already trust, even when a cleaner rebuild is possible — because adoption dies the moment the system feels unfamiliar. The unglamorous part — normalized data, manual control layers, formats a non-technical person can still edit — is what makes the AI layer on top of it actually work.

    I'm the person who can look at a fragmented workflow, understand what AI can and can't do with it, and design something buildable.

    Consumer Data Leadership — L'Oréal
    Two decades in consumer-facing industries, most recently five years leading data strategy across L'Oréal's luxe fragrance and beauty portfolio — Prada, Valentino, Ralph Lauren, Pureology. I know what it looks like when a large organization tries to turn data into a real decision, not just a dashboard.

  • American Talent Board Conference, ATD May 2027

    Operationalizing AI Governance: Strategy & Foundations, June 2026

    Inside the Emerging AI Initiatives Shaping Global Brands, May 2026