The Essential Prompt Checklist:- If you’re looking for a quick scan, ensure your prompt hits these five marks:

• Role: Have you assigned a specific persona? (e.g., "Act as a Senior DevOps Engineer" vs. "Tell me about servers").
• Context: Does the AI know why it’s doing this and who the audience is?
• Task: Is the core request a clear, punchy action verb? (e.g., "Summarize," "Analyze," "Draft").
• Constraints: Have you defined what not to do? (e.g., "No jargon," "Under 200 words").
• Format: How should the output look? (e.g., Markdown table, bullet points, JSON).

Advanced "Power User" Checkpoints:- For complex tasks like coding, curriculum design, or creative writing, add these layers:

1. The "Chain-of-Thought" Trigger
   • Check: Did you ask the AI to "think step-by-step"?
   • Why: This forces the model to layout its logic, significantly reducing "hallucinations" or math errors.
2. Information Weighting
   • Check: Are the most important instructions at the very beginning or the very end?
   • Why: Large Language Models (LLMs) sometimes suffer from "lost in the middle" bias, where they pay less attention to the middle of a long prompt.
3. Examples (Few-Shot Prompting)
   • Check: Did you provide 1–3 examples of the style or format you want?
   • Why: Showing is always better than telling. It "primes" the model to match your specific tone.
4. Iterative Hook
   • Check: Did you invite the AI to ask you questions?
   • Why: Ending with "Ask me any clarifying questions before you begin" ensures the AI doesn't guess when details are missing.