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Sreekar Reddy
Sreekar Reddy

Posted on • Originally published at sreekarreddy.com

✍️ Prompt Engineering Explained Like You're 5

Asking questions the right way

Day 31 of 149

👉 Full deep-dive with code examples


The Restaurant Order Analogy

Ordering food:

  • "Give me something good" → Who knows what you'll get
  • "I'd like a medium-rare ribeye steak with roasted vegetables" → Exactly what you want

Prompt Engineering is crafting a clear "order" for AI.

Clearer instructions often lead to better responses.


Why It Matters

Same AI, different prompts, different results:

  • Vague prompt → Vague or wrong answer
  • Clear prompt → Useful, accurate response

AI does what you ask—so ask precisely!


Key Techniques

Be specific:

  • Bad: "Write about dogs"
  • Good: "Write a 200-word article about why Golden Retrievers make great family pets"

Give context:

  • "You are a marketing expert. Help me..."
  • "Given this background: [info]. Now answer..."

Provide examples:

  • "Format like this: Q: ... A: ..."
  • Shows AI what you want

Set constraints:

  • "In 3 bullet points"
  • "Without using jargon"
  • "For a 5-year-old"

Common Patterns

Role-playing:

  • "Act as a senior developer reviewing this code"

Step-by-step:

  • "Think through this step by step"
  • AI reasons more carefully

Few-shot examples:

  • Show 2-3 examples of desired output
  • AI mimics the pattern

Tips

  • Iterate! The first try often needs tweaks
  • Be specific about format
  • The more context, usually the better
  • Test different approaches

In One Sentence

Prompt Engineering is the skill of writing clear, specific instructions to get more useful responses from AI systems.


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