Select your use case and enter a topic to generate a detailed, structured prompt ready to paste into ChatGPT, Midjourney, Claude, or any AI tool.
AI tools are only as good as the prompts you give them. Vague inputs produce generic outputs. Structured, detailed prompts with clear constraints produce specific, high-quality results. This generator builds a structured prompt template based on your use case and topic — so you can paste it straight into ChatGPT, Claude, Midjourney, or whichever AI tool you use.
The prompt templates include style direction, format constraints, tone guidance and specific rules that help AI models produce more consistent, usable outputs. Edit the generated prompt before using it — add specifics about your audience, brand voice or any details the template doesn't cover.
Be specific, not broad. "Write a blog post about Etsy" produces a generic article. "Write a 500-word blog post for UK Etsy sellers on how to price handmade products to hit 40% margin after fees" gives the AI a real brief to work from.
Include constraints. Tell the AI what to avoid, not just what to include. "No passive voice", "avoid jargon", "no more than 3 sentences per paragraph" are constraints that dramatically improve output quality.
Specify the audience. AI outputs change significantly when you tell it who the content is for. "Write for a complete beginner" vs "write for someone who's been selling online for 2 years" will produce very different results from the same prompt.
For writing: ChatGPT (GPT-4) or Claude are both strong. For images: Midjourney produces the highest quality results, but DALL-E 3 (inside ChatGPT Plus) is easier to use. For coding: GitHub Copilot or Claude 3.5 Sonnet. For video scripts: ChatGPT or Claude with a clear format prompt works well.
AI models are probabilistic — they don't follow instructions the way code does. Long prompts sometimes have constraints ignored, especially near the end. Put your most important constraints first, keep prompts under 300 words when possible, and use clear formatting (numbered lists, bold key terms) to make constraints stand out.
Copy the prompt and save it in a note-taking app or prompt library (Notion, Obsidian, or even a Google Doc). Over time, refine the template based on what works. A prompt that consistently produces good results for your niche is one of the most valuable assets a creator can have.
Prompt engineering is the practice of designing inputs that get reliable, high-quality outputs from AI models. It includes structuring prompts, adding constraints, providing examples (few-shot prompting), specifying output format, and iterating based on results. It's a learnable skill that significantly improves the ROI of using AI tools.