Agent Deployment Checklist: Pre-Launch Discipline

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-agentic-agent-deployment-checklist-creators

1. What is the primary risk of skipping a pre-launch deployment checklist for an AI agent?

   1. The agent will automatically refuse to deploy
   2. The deployment will be faster
   3. The AI will become more intelligent
   4. Ad-hoc deployments produce post-launch incidents

2. Which of the following best describes what AI can contribute to the checklist process?

   1. AI can eliminate the need for operational discipline
   2. AI can catch every possible issue before deployment
   3. AI can substitute for human judgment during deployment
   4. AI can establish and track checklist effectiveness over time

3. What is the relationship between pre-launch checklists and operational judgment?

   1. Checklists eliminate the need for judgment
   2. Checklists are only useful when judgment is unavailable
   3. Checklists cannot substitute for actual judgment
   4. Checklists can fully replace operational judgment

4. Which of these items would LEAST likely appear on a pre-launch deployment checklist based on the lesson?

   1. User interface color scheme review
   2. On-call coverage
   3. Safety evaluation
   4. Rollback capability

5. What does 'governance for exceptions' most likely mean in a deployment checklist context?

   1. Having a process for handling non-standard cases
   2. Allowing deployments to skip all rules
   3. Ensuring every deployment is identical
   4. Automatically approving any exception request

6. Why might skipping a pre-launch checklist initially feel efficient?

   1. AI will automatically fix any issues
   2. Modern agents rarely have post-launch issues
   3. The post-launch fires consume way more time
   4. Checklists are only useful for complex agents

7. What does 'production-shape eval results' refer to?

   1. A test done after the agent is already live
   2. Results that only test the agent's code syntax
   3. Evaluation results from a production environment that mirrors real-world conditions
   4. User acceptance testing results

8. Why is monitoring instrumentation included in a deployment checklist?

   1. To speed up the deployment process
   2. To automatically fix problems when they occur
   3. To track agent performance and detect issues after launch
   4. To replace the need for on-call coverage

9. What is the purpose of including rollback capability on a deployment checklist?

   1. To speed up future deployments
   2. To allow reverting to a previous version if serious issues occur
   3. To ensure the agent can always run forever
   4. To eliminate the need for testing

10. What does it mean to 'track checklist effectiveness over time'?

    1. Count how many items are on the checklist
    2. Ensure the same checklist is used every time
    3. Measure whether checklists actually prevent incidents and improve them
    4. Time how long it takes to complete the checklist

11. What is the purpose of on-call coverage in a deployment checklist?

    1. To reduce the need for pre-launch testing
    2. To ensure someone is available to fix issues if they arise after deployment
    3. To automatically monitor the agent without human involvement
    4. To speed up the deployment approval process

12. Which statement about pre-launch discipline is most accurate?

    1. Discipline is only needed for large, complex deployments
    2. Discipline is the responsibility of the AI system
    3. Discipline slows down deployment too much to be worthwhile
    4. Discipline before launch prevents post-launch fires

13. What is the fundamental limitation of deployment checklists?

    1. They cannot catch every possible issue
    2. They are too complicated to be useful
    3. They require too much time to complete
    4. They replace the need for testing

14. A developer argues that because their agent passed all tests, the safety evaluation step is unnecessary. Why is this problematic?

    1. Tests and safety evaluations measure different things
    2. The developer is correct—testing is sufficient
    3. Safety evaluations are required by law
    4. Tests can only verify what they were designed to check, not all safety concerns

15. What distinguishes an effective pre-launch checklist from an ineffective one?

    1. The effective checklist is shorter
    2. The effective checklist is completed faster
    3. The effective checklist uses AI to generate items
    4. The effective checklist covers safety, eval, monitoring, rollback, on-call, and governance for exceptions