Why AI Agents Are Tricky: When Doing Goes Wrong

End-of-lesson check

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1. What is the core idea behind "Why AI Agents Are Tricky: When Doing Goes Wrong"?

   1. Agents can be amazing helpers — or they can mess up in big ways because they actually take action. Here is why grown-ups are careful with them.
   2. Multi-step agents fail in ways single-call AI doesn't.
   3. agent steering
   4. 'Help me make an album of my best 20 photos this year.'

2. Which term best describes a foundational idea in "Why AI Agents Are Tricky: When Doing Goes Wrong"?

   1. agent safety
   2. AI mistakes
   3. supervision
   4. human in the loop

3. A learner studying Why AI Agents Are Tricky: When Doing Goes Wrong would need to understand which concept?

   1. AI mistakes
   2. supervision
   3. agent safety
   4. human in the loop

4. Which of these is directly relevant to Why AI Agents Are Tricky: When Doing Goes Wrong?

   1. AI mistakes
   2. agent safety
   3. human in the loop
   4. supervision

5. Which of the following is a key point about Why AI Agents Are Tricky: When Doing Goes Wrong?

   1. A chatbot suggests you buy 100 hats. You laugh and ignore it.
   2. An agent that can buy stuff might actually order 100 hats. Whoops.
   3. A chatbot tells you a wrong fact about your friend. You shrug.
   4. An agent that can send messages might actually email your friend with that wrong fact. Yikes.

6. Which of these does NOT belong in a discussion of Why AI Agents Are Tricky: When Doing Goes Wrong?

   1. Multi-step agents fail in ways single-call AI doesn't.
   2. An agent that can buy stuff might actually order 100 hats. Whoops.
   3. A chatbot tells you a wrong fact about your friend. You shrug.
   4. A chatbot suggests you buy 100 hats. You laugh and ignore it.

7. What is the key insight about "The rule" in the context of Why AI Agents Are Tricky: When Doing Goes Wrong?

   1. Multi-step agents fail in ways single-call AI doesn't.
   2. agent steering
   3. For now, AI agents need a HUMAN to check on them — especially before they spend money, send messages, or change anything…
   4. 'Help me make an album of my best 20 photos this year.'

8. Which statement accurately describes an aspect of Why AI Agents Are Tricky: When Doing Goes Wrong?

   1. Multi-step agents fail in ways single-call AI doesn't.
   2. agent steering
   3. 'Help me make an album of my best 20 photos this year.'
   4. When a chatbot says something wrong, you can just ignore it. When an AGENT does something wrong, the action already happened.

9. What does working with Why AI Agents Are Tricky: When Doing Goes Wrong typically involve?

   1. Imagine an agent that helps you with homework. List 3 things it would be okay to let it do alone, and 3 things you would always want to chec…
   2. Multi-step agents fail in ways single-call AI doesn't.
   3. agent steering
   4. 'Help me make an album of my best 20 photos this year.'

10. Which best describes the scope of "Why AI Agents Are Tricky: When Doing Goes Wrong"?

    1. It is unrelated to agentic workflows
    2. It focuses on Agents can be amazing helpers — or they can mess up in big ways because they actually take action. H
    3. It applies only to the opposite professional tier
    4. It was deprecated in 2024 and no longer relevant

11. Which section heading best belongs in a lesson about Why AI Agents Are Tricky: When Doing Goes Wrong?

    1. Multi-step agents fail in ways single-call AI doesn't.
    2. agent steering
    3. Some examples
    4. 'Help me make an album of my best 20 photos this year.'

12. Which section heading best belongs in a lesson about Why AI Agents Are Tricky: When Doing Goes Wrong?

    1. Multi-step agents fail in ways single-call AI doesn't.
    2. agent steering
    3. 'Help me make an album of my best 20 photos this year.'
    4. Try it!

13. Which of the following is a concept covered in Why AI Agents Are Tricky: When Doing Goes Wrong?

    1. AI mistakes
    2. agent safety
    3. supervision
    4. human in the loop

14. Which of the following is a concept covered in Why AI Agents Are Tricky: When Doing Goes Wrong?

    1. AI mistakes
    2. agent safety
    3. supervision
    4. human in the loop

15. Which of the following is a concept covered in Why AI Agents Are Tricky: When Doing Goes Wrong?

    1. AI mistakes
    2. agent safety
    3. supervision
    4. human in the loop