Wyoming teacher to SF tech

The short version

I spent 16 years in Wyoming classrooms and on football fields before moving into tech. That is where my no-hype filter comes from. A tool either helps real people do better work or it gets exposed pretty quickly.

Students introduced me to ChatGPT in 2022. I started testing it on my own assignments, posting what I learned, and building a public point of view around one question: what does this actually change for people who have to teach, write, plan, coach, or operate?

Now I work at Descript, keep testing tools in public, and translate what I learn for people who do not want jargon. I care less about the impressive demo and more about the repeatable workflow.

How I work

I start with the real job. A teacher needs feedback loops that scale. A creator needs a better way to turn raw material into something useful. A team needs an agent that watches one lane and reports when the state changes. The tool comes after the job is clear.

That is also why I show broken pieces. A failed automation is usually more useful than a perfect launch post. It tells you where the boundaries are, and boundaries are what make AI work safer to trust.