How do I train my team to use AI?
The mistake is treating AI training like a big launch: a workshop, a new tool, everyone at once. That's how adoption stalls — people get handed a tool and a vague promise, then quietly stop using it. Small, real, and gradual beats big and vague.
How to do it well
- Pick one pilot person. Someone who already handles the task you want to automate, and who's open to trying it.
- Give them one real task. Not a tour — a specific job they do every week, and a tool to try on it.
- Capture what works. Have them write down the prompts and steps that give good results.
- Turn it into a cheat sheet. A one-page "here's how we do X with AI" your whole team can follow.
- Expand slowly. One tool, then another — as each one proves itself, roll it wider.
The rollout that works
One person tries one tool on one real job. Prove it works before anything else.
Capture the good prompts and steps into a one-page cheat sheet anyone can follow.
Roll each proven tool to the team gradually. Nobody gets overwhelmed, nothing gets wasted.
Key point — Train AI like you'd train a new hire: one person proves it on one real task, you write down what works, then you roll it out. Small and gradual wins.
I'm David. I build AI that runs on your machines.
Twenty years in engineering leadership, now helping small and mid-size businesses put AI to work without handing their data to a cloud. If you'd rather I build it than you learn it, let's talk.
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