AI Prompt Examples Library

A good writing prompt gives the AI a role, audience, tone, and specific task. Example: "You are an experienced copywriter. Write a 200-word product description for [product] targeting [audience]. Use a conversational tone and end with a clear call to action." Browse the Writing category above for more examples.

Beginners should start with simple role-based prompts: "Act as a [expert type] and help me with [task]." Good starter prompts include summarizing documents, explaining concepts in simple terms, drafting emails, and generating ideas. The library above is filtered by category so you can find beginner-friendly prompts quickly.

A good prompt has 4 parts: role (who the AI should be), task (what to do), context (relevant background), and format (how to structure the output). The more specific your prompt, the better the output. Include examples of what good output looks like when possible.

Good coding prompts specify the language, what the code should do, and any constraints. Example: "Write a Python function that takes a list of dictionaries and returns them sorted by the value of a specified key. Include error handling and a docstring." Browse the Coding category above for 15+ examples.

Yes. All prompts in this library work with ChatGPT, Claude, Gemini, and most other large language models. Some prompts perform better on specific models: Claude handles long documents and nuanced writing particularly well, while GPT-4o excels at structured data and code generation.

Top marketing prompts include: writing ad copy for specific audiences, generating email subject line variations, creating social media posts in different tones, writing landing page headlines, and analyzing competitor positioning. Browse the Marketing category above for 15+ ready-to-use examples.

Prompt engineering is the practice of designing and refining inputs to AI models to get better outputs. It involves techniques like role assignment, chain-of-thought instructions, few-shot examples, and output format specification. Good prompt engineering can dramatically improve the quality and relevance of AI responses.

Useful SEO prompts include: generating title tag and meta description variations, writing FAQ sections targeting specific keywords, creating outline structures for long-form articles, analyzing content gaps, and drafting internal linking anchor text suggestions. Browse the SEO category above for specific examples.

Most effective prompts are 50 to 200 words. Short prompts (under 20 words) often produce generic outputs. Very long prompts (over 500 words) can confuse the model or dilute the main instruction. The sweet spot is enough context to be specific without overwhelming the model with competing instructions.

System prompts are instructions set at the start of a conversation that define the AI persona, rules, and behavior throughout. User prompts are the individual messages you send during the conversation. In the API, system prompts are passed in a separate system parameter. In chat interfaces, you can simulate a system prompt by starting your first message with role and behavior instructions.