After testing hundreds of prompts over the past year, I've identified 5 techniques that consistently deliver high-quality outputs.
1. Specificity Over Generality
❌ Bad: "Write a story"
✅ Good: "Write a 500-word mystery story set in 1920s Paris, featuring a detective who solves crimes using psychology"
The more specific you are, the better the output.
2. Role Assignment
Start with: "You are an expert [role]..."
This primes the AI to respond with domain-specific knowledge and appropriate tone.
Example: "You are an expert copywriter with 10 years of experience in SaaS marketing..."
3. Output Format Specification
Always specify the format you want:
- Bullet points
- Numbered lists
- JSON
- Markdown table
- Code blocks
This prevents the AI from choosing a format you don't need.
4. Iterative Refinement
Don't expect perfection on the first try. Use follow-up prompts:
- "Make it more concise"
- "Add more technical details"
- "Rewrite in a casual tone"
5. Context Layering
Provide context in layers:
- Background information
- Specific task
- Constraints
- Desired outcome
Example:
Background: I'm writing a blog post about AI for beginners
Task: Explain neural networks
Constraints: Use simple language, no math
Outcome: 300 words, engaging tone
Resources
If you want ready-to-use prompts, check out LaerKai - a collection of 200 battle-tested prompts across 8 categories including creative writing, business content, and technical documentation.
What prompt techniques work best for you? Share in the comments!
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