Prompt engineering is an art that combines creativity and logic. These 10 techniques will help you take your AI interactions to the next level.

1. Few-shot learning

Instead of explaining at length what you expect, give examples of what you want. The AI will understand the pattern and apply it to your specific case.

Example

Classify these words as positive or negative:
- Super: positive
- Bad: negative
- Excellent: positive
- Horrible:

💡 By providing examples, you show the pattern to follow without explaining the rules.

2. Chain of Thought (CoT)

Ask the AI to explain its reasoning step by step. This improves response quality on complex tasks.

3. Role playing

Assign a specific role to the AI. 'You are a senior developer' or 'You are a professional writer' gives better results than a generic request.

💡

Bonus technique

Combine multiple techniques! For example: few-shot + chain of thought + role playing for optimal results.

4. Explicit constraints

Define exactly what you don't want. Say 'Don't include technical jargon' or 'Use short sentences'.

Other techniques

•5. Strict formatting (JSON, Markdown, etc.)
•6. Progressive iteration (refine gradually)
•7. Think before answering (ask for a pause)
•8. Contextual content (provide background info)
•9. Detailed persona (create a complete character)
•10. Cross-validation (request multiple perspectives)

Practice these techniques

Conclusion

Mastering these techniques takes time, but they radically transform the quality of your AI interactions. Start with one or two techniques and evolve progressively.

10 prompt engineering techniques