AI honesty audit for founder updates

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-business-AI-and-founder-update-honesty-audit-adults

1. What is the core idea behind "AI honesty audit for founder updates"?

   1. Run your monthly investor update through AI to catch spin before sending.
   2. You know your CAC target based on LTV (see that lesson)
   3. anchor content
   4. solo founder

2. Which term best describes a foundational idea in "AI honesty audit for founder updates"?

   1. narrative honesty
   2. investor trust
   3. metric framing
   4. accountability

3. A learner studying AI honesty audit for founder updates would need to understand which concept?

   1. investor trust
   2. metric framing
   3. narrative honesty
   4. accountability

4. Which of these is directly relevant to AI honesty audit for founder updates?

   1. investor trust
   2. narrative honesty
   3. accountability
   4. metric framing

5. Which of the following is a key point about AI honesty audit for founder updates?

   1. Flag vague phrases like 'making progress' that hide flat metrics
   2. Surface metrics mentioned last month but omitted this month
   3. Suggest where context (denominator, comparison) is missing
   4. You know your CAC target based on LTV (see that lesson)

6. What is one important takeaway from studying AI honesty audit for founder updates?

   1. Tell you whether an investor will be upset
   2. Decide what to disclose vs. legitimately defer
   3. Replace the courage to send the hard version
   4. You know your CAC target based on LTV (see that lesson)

7. What is the key insight about "Update honesty audit" in the context of AI honesty audit for founder updates?

   1. You know your CAC target based on LTV (see that lesson)
   2. anchor content
   3. Compare this month's draft to last month's update. List metrics dropped, hedging phrases, and any claim made without a n…
   4. solo founder

8. What is the key insight about "Audit is not approval" in the context of AI honesty audit for founder updates?

   1. You know your CAC target based on LTV (see that lesson)
   2. anchor content
   3. solo founder
   4. AI catching spin doesn't mean the rewritten version is honest — only you know what's actually happening.

9. Which statement accurately describes an aspect of AI honesty audit for founder updates?

   1. Founders unconsciously bury bad news; AI flags hedging language and missing context.
   2. You know your CAC target based on LTV (see that lesson)
   3. anchor content
   4. solo founder

10. Which best describes the scope of "AI honesty audit for founder updates"?

    1. It is unrelated to business workflows
    2. It focuses on Run your monthly investor update through AI to catch spin before sending.
    3. It applies only to the opposite beginner tier
    4. It was deprecated in 2024 and no longer relevant

11. Which section heading best belongs in a lesson about AI honesty audit for founder updates?

    1. You know your CAC target based on LTV (see that lesson)
    2. anchor content
    3. What AI does well here
    4. solo founder

12. Which section heading best belongs in a lesson about AI honesty audit for founder updates?

    1. You know your CAC target based on LTV (see that lesson)
    2. anchor content
    3. solo founder
    4. What AI cannot do

13. Which of the following is a concept covered in AI honesty audit for founder updates?

    1. investor trust
    2. narrative honesty
    3. metric framing
    4. accountability

14. Which of the following is a concept covered in AI honesty audit for founder updates?

    1. investor trust
    2. narrative honesty
    3. metric framing
    4. accountability

15. Which of the following is a concept covered in AI honesty audit for founder updates?

    1. investor trust
    2. narrative honesty
    3. metric framing
    4. accountability