Every interaction with ChatGPT or Claude starts with a prompt. The difference between novice and expert prompts can be dramatic.
Core Techniques
1. Role Prompting
Assign a persona to shape response style and expertise level:
You are a senior software architect with 15 years experience. Explain microservices to a junior developer.
2. Chain-of-Thought
Introduced by Google researchers, CoT asks the model to reason step-by-step. Improves accuracy 20-40% on complex tasks.
Solve this step by step: A train leaves at 9 AM going 60 mph...
3. Few-Shot Learning
Provide examples to teach format. Few-shot learning is remarkably effective:
Convert to bullet points: Input: "Coffee maker brews 12 cups..." Output: • 12-cup capacity • Under 10 min...
4. Structured Output
Request specific formats like JSON or tables for consistent, processable results.
5. Constraints
Define what you don't want: "Explain in 3 sentences. No analogies. No jargon."
Common Mistakes
Too vague. "Write about marketing" gives no direction.
Overloading. 15 requirements often get partially ignored.
Not iterating. First prompt rarely produces optimal results.
Try our Prompt Optimizer to analyze and improve your prompts.