Quick Takeaways:
Clear prompts lead to better answers. Treat AI as a collaborator, not an authority, and always verify important outputs.
🧠 Phase 1: Mastering the Prompt
1. Assign a Persona
Why: Roles improve tone and relevance.
“Act as an empathetic but firm project manager…”
2. Use Few-Shot Prompting
Why: Examples teach patterns.
3. Chain-of-Thought Reasoning
Why: Step-by-step reduces errors.
4. Use Delimiters
Why: Clear separation improves accuracy.
5. Set Constraints Explicitly
Why: Limits guide quality.
⚙️ Phase 2: Workflow & Productivity
6. Critic Mode
Why: Challenges assumptions.
7. Formatting Is a Feature
Why: Saves time.
8. Summarization Layers
Why: Different depths for different needs.
9. Reverse Prompting
Why: Lets AI clarify.
10. Draft — Don’t Publish
Why: AI excels at first drafts.
🧪 Phase 3: Learning & Technical Use
11. Feynman Technique
Why: Simple explanations reveal gaps.
12. Explain Before Generating
Why: Builds understanding.
13. Generate Skeleton Code
Why: Speeds development.
14. Translate With Context
Why: Tone matters.
15. Create Quizzes
Why: Active learning improves retention.
🛡️ Phase 4: Safety & Hallucinations
16. Reference Checking
Why: AI can fabricate sources.
17. Protect Sensitive Data
Why: Never paste PII or passwords.
18. Control Creativity With Language
Why: Tone shapes precision.
19. Version Control Prompts
Why: Small wording changes matter.
20. Adjust Tone Deliberately
Why: Fine-tune style.
Written by Gemini.
Formatted for the AI Library by ChatGPT.
Edited by Peter Z. McKay.
Formatted for the AI Library by ChatGPT.
Edited by Peter Z. McKay.