Module 2, Lesson 3
You're going to build your personal AI Task Map — a classification of 5+ recurring work tasks placed on the reliability spectrum. This is the deliverable for Module 2, and it's something you'll actually use: a quick-reference guide to which of your tasks are good AI candidates.
| # | Task | Zone | Output Type | Verification Method | Failure Mode | Verification Action | |
|---|---|---|---|---|---|---|---|
| 1 | Draft weekly status email to client | High | Structured text from my notes | Compare to my actual project notes | Might miss a task I completed but didn't note | Check against my task tracker before sending | |
| 2 | |||||||
| 3 | |||||||
| 4 | |||||||
| 5 |
Before moving on, verify:
Rate your confidence (1 = not at all, 5 = very confident):
If any skill is below 3, re-read Lesson 2.2 (the spectrum framework) before taking the short check.
If you work with colleagues who also use AI (or are thinking about it), share your Task Map with one of them and ask: "Does this match how you think about AI risk for our shared work?" You might discover tasks you classified differently — that's a valuable conversation, not a sign that one of you is wrong.
Save your AI Task Map. You'll reference it in Module 3 when you choose a task to prompt, and in the capstone when you select your "Real Tuesday" task.
You now have a personal framework for AI task suitability. Let's test how well you've internalized it with a quick check — 5 tasks, 5 minutes.