Ever Wondered How Powerful a Well-Written Prompt Can Be?

#webdev #ai #promptengineering #chatgpt

Lately, I’ve been experimenting with writing clear, structured prompts for AI tools—and honestly, the results have been impressive!

I realized that when I tell the AI exactly what I want, the output becomes much more useful and aligned. So I started following a simple prompt-writing formula that’s been giving me surprisingly consistent and smart results.

And I thought—why not share my little experience with the community?

Here's how I structure prompts that actually work:

System Instruction
→ Tell the AI what “role” it’s supposed to play. (e.g., a teacher, developer, assistant)
Context
→ Give it the background or situation—so it understands the purpose.
Few-shot Examples
→ Provide 1–2 short examples to guide the kind of output you expect.
User Task
→ Clearly define what the AI needs to do.
Requirements
→ Mention tone, style, or any must-haves to guide the final response.

Example:

System: You are a research assistant.  
Context: Helping to summarize academic papers for social media.  
Few-shot Examples: "Key findings", "Why this matters", "Future work".  
User Task: Summarize a paper on machine learning in healthcare.  
Requirements: Use simple language, bullet points, include 1 key takeaway.

When I follow these five steps, the prompts become much more effective, and the results feel genuinely tailored. It's become my go-to style whenever I work with AI tools now.