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AI Prompt Builder

Choose a use case, fill in the variables, and get a structured prompt ready for ChatGPT, Claude, or Gemini.

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Prompt Engineering FAQ

Effective prompts include: Role (act as X), Context (background info), Task (what to do), Format (how to structure the response), and Constraints (word limit, tone, what to avoid). The more specific and structured your prompt, the more predictable and useful the output.

Few-shot prompting provides 2-5 examples of the desired input/output format before your actual request. The model infers the pattern and applies it to new inputs. More effective than explaining the format in words alone. Zero-shot is no examples; few-shot is 1-5; many-shot is more examples within the context window.

Adding "Let's think step by step" or "Show your reasoning" (chain-of-thought) dramatically improves accuracy on logic, math, and multi-step tasks. The model commits intermediate steps to context before answering, reducing errors. For simple retrieval or creative tasks, direct prompting is often sufficient. For reasoning tasks, always use chain-of-thought.