Test it on a normal Tuesday.
A tool has to handle a rushed calendar, a messy spreadsheet, and a person who does not care how clever the model is. A clean demo is not enough.
About
Wyoming teacher to tech.
I taught and coached in Wyoming before tech. Now I test AI tools on real work, then turn the useful parts into workshops, notes, and small tools.
The route
I was a teacher and coach before I worked in tech.
That still explains how I look at AI. If a tool only works when the room is quiet and the prompt is perfect, it is not ready yet.
I work remotely from Wyoming now. That still feels a little funny and a lot useful.
Teach the move, not the tour.
Most people do not need another walkthrough. They need the first thing to try, what to check, and when to stop.
Keep the incentives clean.
No brand deals. No sponsored praise. If I talk about a tool, it is because I used it and the lesson is worth sharing.
How I work
The filter I keep coming back to.
Useful beats impressive.
If a tool sounds futuristic but does not help someone finish the job or make a better call, it is noise.
Teach the skill, not the wrapper.
I care less about the platform and more about whether someone can use the move again.
What I do now
I test tools and teach the parts that hold up.
Most of my work is practical: public tests, workshops, creator workflows, and small resources for people who do not want jargon or product docs.
I also do consulting, school trainings, and speaking. Same teaching job as before: make the next step clear enough that somebody can try it after the session ends.
Let's talk
Bring me in when the room agrees AI matters and nobody knows what to try Monday.
I can help with workshops, school trainings, creator workflows, or turning one messy process into a next step people can actually run.