Recall
Set 1: Quick Check
Recognize examples, decomposition, clarification, context refresh, and the limits of conversation memory.
Examples, Iteration, and Conversation
Use examples, decomposition, clarification, revision, and conversation context without assuming perfect model memory.
Start Chapter PracticeChapter plan
What you will be able to do
- Use approved examples to demonstrate a target pattern without copying irrelevant details.
- Decompose a complex request into small, checkable conversation turns.
- Refresh essential context and give specific source-based revision feedback.
- Apply a stopping rule to approve, continue, refresh, escalate, or stop an iteration loop.
- Study time
- 24–31 minutes, self-paced
- Course
- AI Literacy for Work (Beginner)
- Practice order
- Four sets, completed in sequence
Chapter practice
Practice in chapter order
10 activities · 80% mastery target
Start set 1
Guided application
Set 2: Core Practice
Run a bounded iteration loop, write specific feedback, and repair drift, omission, conflict, or repetition.
Hands-on
Set 3: Workplace Task
Revise a weekly update for its audience and recheck a multi-turn drafting conversation.
Independent check
Set 4: Mastery Check
Choose clarify, refresh, revise, approve, or stop and control a complete conversation independently.