Practical AI Training
Good training should change what you can do the next day. Sessions are shaped around the tools you actually use, the projects you actually care about, and what is and is not wise to place into an AI tool. Plain English, at your pace, one on one or with your team.
A useful session starts with three things
The best agenda comes from your work and your interests, not a tour of AI products.
- Who is attending and one real project or task each.
- The tools you use or want to try.
- The accuracy, privacy, and review boundaries that matter to you.
Something real, built properly
Examples from your own work
Exercises use the drafts, research, images, or decisions you actually face, not generic demonstrations.
Cards you can keep
Each example records the input, the steps, the check, and when to stop and ask a person.
Knowing what to share
Learn what information is appropriate, how to verify output, and where your own judgment must decide.
Something to practice
Leave with a small set of things to try and questions to bring to the next session.
Common questions
Do I need technical experience?
No. Sessions use plain language and hands-on examples. The pace and depth are adjusted to the people in the room.
How do we agree on a session?
After we talk about who is attending, what you want to be able to do, and the format, Zechariah sends a clear agreement in writing for you to look over.
Talk with Zechariah
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