Chapter 1 of 3
Introduction to Prompting
Prompt engineering is the practice of crafting inputs to AI models (like ChatGPT, Claude, Gemini) to get the most useful, accurate, and relevant outputs. It's the #1 skill for working with AI effectively.
Why Prompting Matters
- The same AI model can produce wildly different results based on the prompt.
- Good prompts save hours of back-and-forth iterations.
- Prompt engineering is becoming a must-have skill across industries.
- It's the interface between human intent and AI capability.
Anatomy of a Good Prompt
The CRISP Framework
Context
Provide background information and constraints
Role
Tell the AI who it should act as
Instruction
Be specific about what you want
Style
Define tone, format, and length
Parameters
Set boundaries and edge cases
Bad vs Good Prompts
Bad prompttext
Write about SEO.Good prompttext
You are an SEO expert writing for a beginner audience.
Write a 500-word blog post explaining what on-page SEO is.
Include 3 actionable tips with examples.
Use a conversational, encouraging tone.
Format with H2 headings and bullet points.Key Takeaway
The more specific and structured your prompt, the better the AI output. Vague prompts produce vague results.