Part 1
Getting started
What a model is, what your AI can see and do, and the approvals you set first.
- 1What an AI model actually isUnderstand
- 2Your agent and its harnessUnderstand
- 3Set up your workspace and approvalsPractise
Coming to Tutr
A course for anyone who uses AI in their work. You’ll learn how AI agents work by building with one: write requests it gets right, decide what it may see and do, connect an app, and teach it a skill of your own.
Five things you’ll build with the tutor and keep using, each one checked.
Each part ends with something real that you keep.
Outline subject to change.
Part 1
What a model is, what your AI can see and do, and the approvals you set first.
Part 2
Requests it gets right first time, and a prompt pack for the jobs you repeat.
Part 3
What to share, what to keep private, and how to catch a confident mistake.
Part 4
Give your AI one of your apps, read-only first, and learn why outside text never gives orders.
Part 5
Teach it a job you repeat, test it, and explain back what you kept for yourself.
One sentence, so you know what done looks like.
Explained in conversation, with the words that matter.
You build it together with the tutor, then keep it.
Decisions that are yours. The tutor asks and waits.
Your saved work passes or it doesn’t. Then you move on.
AI Foundations will be an open course, written in the open Agent Courses format. Once it’s published, you can read every lesson, check and rubric on GitHub, and suggest a change in a pull request.
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