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Mastering Prompt Engineering

35 mins

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Introduction

Prompt engineering is the skill of writing instructions so AI models produce accurate, useful output on the first try. It is not magic — it is structured communication.

Why This Topic Matters

A strong prompt can turn a 30-minute task into a 3-minute task. Weak prompts waste tokens, produce hallucinations, and frustrate teams.

Real-Life Example

Instead of "write python code", use: "Act as a senior Python developer. Write a binary search function with type hints, docstring, and 3 pytest test cases. Explain time complexity."

Syntax Breakdown

Use the CRISPE framework:

  • Capacity & Role — who the AI should act as
  • Request — the exact task
  • Instruction — steps and constraints
  • Situation — background context
  • Persona — tone and audience
  • Experiment — ask for variations if needed

Step-by-Step Code Explanation

Example prompt template:

Role: Technical writing assistant for IT Vizag students
Task: Explain Python list comprehensions
Constraints: Max 200 words, include 1 code example, beginner-friendly
Format: Markdown with headings

Few-shot pattern:

Convert notes to bullet summaries.

Input: "Python uses indentation for blocks"
Output: "- Python relies on indentation (not braces) for code blocks"

Input: "Lists are ordered and mutable"
Output: "- Lists store ordered items and can be changed after creation"

Now convert: "Functions reduce repeated code"

Expected Output

Clear, structured AI responses that match your format, audience, and constraints — without endless re-prompting.

Common Beginner Mistakes

  • Being vague ("make it better")
  • Asking for too many unrelated tasks in one prompt
  • Forgetting to specify output format
  • Not providing examples for complex tasks

Best Practices

  • Start with role + task + format
  • Use few-shot examples for repetitive formats
  • Set temperature low (0–0.3) for factual tasks
  • Iterate: refine one section of the prompt at a time

Practice Problems

Easy — Problem 1

Write a CRISPE prompt asking AI to summarize a news article in 5 bullet points for a 10th-grade reader.

Medium — Problem 2

Create a few-shot prompt that converts informal WhatsApp messages into professional email replies.

Hard — Problem 3

Design a prompt chain: first extract facts, then verify, then format as a table.

Mini Assignment

Pick a real task from your studies or job. Write 3 prompt versions (bad, okay, excellent). Compare AI outputs and note differences.

Lesson Summary

Clear prompts with role, context, constraints, and format produce the best AI results. Treat prompting as a repeatable skill, not guesswork.

Recommended Resources

  • [Google Prompt Engineering Guide](https://developers.google.com/machine-learning/resources/prompt-eng)
  • [OpenAI Prompt Engineering](https://platform.openai.com/docs/guides/prompt-engineering)
  • [Anthropic Prompt Library](https://docs.anthropic.com/en/prompt-library/library)

Practice exercises

Easy

Write a CRISPE prompt asking AI to summarize a news article in 5 bullet points for a 10th-grade reader.

Medium

Create a few-shot prompt that converts informal WhatsApp messages into professional email replies.

Hard

Design a prompt chain: first extract facts, then verify, then format as a table.

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