Exercises Exercise: Mapping Your Current AI Use

Why? This is the foundation for every exercise that follows in this course.

List 4–6 tasks you've actually used AI for in the last two weeks. If you haven't used AI much yet, list tasks you'd like to use it for. Be specific: "drafted a client email explaining a project delay" tells you something. "Writing" doesn't. For each task, note one line: did the output land on the first try, or did you need to rework it before it was usable? Don't overthink this. A quick gut check is fine. Now share your list with Claude (or any AI assistant) and ask: "For each of these tasks, what's one way this could go wrong if I'm not paying attention?" See if the failure modes it names feel relatable. If they don't, push back: "That doesn't match my experience. Here's what actually went wrong..." Hold onto this list. You'll return to it in every lesson, and it'll look different each time you do.

Lesson reflection Which of your listed tasks felt "safe" to hand to AI, and which felt risky? Can you articulate why yet? What's one AI behavior you've noticed (good or bad) that you couldn't explain at the time? What's next Before the four properties, we need to draw a line around what "AI" means in this course. We're talking specifically about generative AI and how it's different from other forms of AI.

Feedback As you progress through the course, we'd love to hear from you about how you are using concepts from the course in your work, plus any feedback you may have. Share your feedback here.

Acknowledgments and license Copyright 2026 Anthropic. Original work building on the AI Fluency Framework developed by Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). Released under the CC BY-NC-SA 4.0 license.

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