Prompt Engineering Masterclass: 15 Techniques That Work

Prompt Engineering Masterclass

These 15 techniques work across ChatGPT, Claude, Gemini, and most AI tools.

1. Be Specific Replace vague with detailed: format, length, audience, tone.

2. Few-Shot Examples Provide 2-3 examples of desired output before your request.

3. Chain of Thought Think step by step — reduces errors 40-60% on reasoning tasks.

4. Role Playing You are a senior architect with 15 years experience...

5. Output Formatting Specify: bullet points, table, JSON, markdown, code block.

6. Constraints Under 200 words, no jargon, for a 10-year-old.

7. Self-Correction Review your answer for errors before presenting it.

8. Decomposition Break complex tasks into smaller sequential prompts.

9. Negative Prompting Do NOT include X, avoid Y.

10. Template Variables Use [COMPANY_NAME], [PRODUCT], [AUDIENCE] placeholders.

11. Iterative Refinement Generate -> Evaluate -> Refine -> Repeat.

12. Context Anchoring Provide relevant background before the main request.

13. Comparison Prompting Compare X and Y across these dimensions.

14. Verification After answering, verify against these criteria.

15. Meta-Prompting What information do you need from me to give the best answer?

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