Prompts are the instructions you give an AI. The quality of your output depends heavily on how you phrase and structure these prompts.

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1. Clear & Specific Instructions

• Why: AI performs better when the task is clearly stated.
• How: Instead of vague prompts, provide details.
• Example (ChatGPT):
  • ❌ “Write about dogs.”
  • ✅ “Write a 150-word blog post about the benefits of owning a Labrador as a family pet, in a friendly tone.”
• Example (Image AI):
  • ❌ “Draw a car.”
  • ✅ “A futuristic electric car, glowing neon lights, cyberpunk Tokyo background, ultra-detailed.”

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2. Role Prompting

• Why: Giving AI a “role” helps guide the style and perspective of the response.
• How: Start your prompt with “Act as…”.
• Example:
  • “Act as a career coach. Suggest tips for preparing for a property management interview.”
  • “Act as a travel guide. Plan a 3-day trip in Japan for food lovers.”

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3. Context + Instruction + Format

• Why: Adding context improves accuracy.
• Formula:
  • Context (what it’s about)
  • Instruction (what to do)
  • Format (how to present it)
• Example:
  • Context: “You are helping a student.”
  • Instruction: “Explain how machine learning works.”
  • Format: “Use simple language and bullet points.”

✅ Prompt:
“Explain how machine learning works to a high school student in 5 simple bullet points.”

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4. Examples in Prompts (Few-shot prompting)

• Why: Showing examples teaches AI the style/structure you want.
• Example:
  • *“Translate the following sentences to French.
    1. Hello, how are you? → Bonjour, comment ça va ?
    2. I love ice cream → [your turn]”*

This guides the AI to follow the same structure.

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5. Step-by-Step Instructions (Chain of Thought prompting)

• Why: Breaking tasks into steps leads to clearer, more accurate responses.
• Example:
  • ❌ “Explain photosynthesis.”
  • ✅ “Explain photosynthesis step by step: 1) light absorption, 2) conversion to energy, 3) glucose production, 4) oxygen release.”

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6. Refinement (Iterative prompting)

• Why: AI works best when you refine results.
• How: Start broad, then narrow down.
• Example:
  1. “Write me a poem about the ocean.”
  2. “Make it shorter, in 4 lines.”
  3. “Change the tone to motivational.”

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7. Constraints & Styles

• Why: Helps AI match your exact needs.
• How: Add word count, tone, perspective, or formatting.
• Examples:
  • “Write a LinkedIn post in under 100 words, persuasive, with emojis.”
  • “Generate a recipe in the style of Gordon Ramsay.”
  • “Create an image in the style of Van Gogh, pastel colors, night sky.”

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🔑 Key Takeaways

• Be clear (avoid vagueness).
• Add context, role, and format.
• Use examples to guide output.
• Refine results by iterating.
• Apply constraints (tone, length, style).