Effective Prompts

What you'll learn

Understand what prompt engineering is and why it matters for productive AI collaboration
Apply six foundational prompting techniques to improve your AI interactions
Identify common patterns that lead to successful AI interactions
Troubleshoot and refine prompts when AI responses don't meet your needs

Effective prompting combines clear communication principles with AI-specific techniques.
Six foundational prompting techniques:
- Give context: Be specific about what you want, why you want it, and relevant background
- Show examples: Demonstrate the output style or format you're looking for
- Specify constraints: Clearly define format, length, and other output requirements
- Break complex tasks into steps: Guide the AI through multi-step reasoning
- Ask the AI to think first: Give space for the AI to work through its process
- Define the AI's role or tone: Specify how you want the AI to communicate
The "secret weapon": Ask the AI itself to help improve your prompt.
Use other AI models to write prompts
Successful prompting is iterative (and often collaborative with the AI). Expect to refine based on results
Common successful patterns include clear task overviews, format specs, explicit constraints, and relevant background information

Vague: "Tell me about climate change."
Specific: "Explain three major impacts of climate change on agriculture in tropical regions, with examples from the past decade."
Most specific: "Explain three major impacts of climate change on agriculture in tropical regions, with examples from the past decade. I'm preparing for a job interview at an agricultural research lab in Indonesia. I have a degree in ecology but no specific knowledge on climate change. Write a summary of key concepts that would help me speak intelligently in the interview."

No examples: "Please convert this technical statement to plain language: 'The platform implements end-to-end encryption protocols to safeguard data integrity.'"
With two examples:
1. Original: "The quantum algorithm exhibits quadratic speedup."
  - Plain: "The new method solves problems roughly twice as fast as previous methods."
2. Original: "The interface leverages intuitive design paradigms."
  - Plain: "The design is easy to understand and use."
- Now, convert this statement to plain language: "The platform implements end-to-end encryption protocols to safeguard data integrity."

Without output specification: "Design me a personal art portfolio website."
With output specification: "Create a clean, modern single-page portfolio website design with smooth scrolling between sections. Include these main sections: Hero, About Me, Skills, Portfolio/Projects, Experience, and Contact. Make the navigation menu sticky and responsive, with hamburger menu on mobile. Use a sunset color palette and add a dark / light mode toggle in the navigation."

No steps: "Analyze this quarterly sales data."
With steps: "I'd like to analyze this quarterly sales data. Please approach this by:
1. Looking through our sales records to identify the top-performing products
2. Comparing current quarter results to the previous quarter
3. Highlighting any unusual patterns or trends
4. Suggesting possible reasons for these trends"

For explanations: "Please explain how rainbows form from the perspective of an experienced science teacher speaking to a bright 10-year-old who's interested in science."
For brainstorming & feedback: "As a UX design expert, review this website wireframe and suggest three improvements focusing on user navigation and accessibility."

✍️

See how vague prompts can be transformed into effective ones with these real-world examples.