AI Prompt Generator
Build structured, effective prompts for ChatGPT, Claude, Gemini, and other AI models. Choose from proven frameworks like CO-STAR, RICE, Chain of Thought, and Few-Shot to get better results from any LLM.
Blog posts, emails, social media, essays
# Context [Provide background information the AI needs about your writing task — specifically for your use case] # Objective [Describe what you want the AI to accomplish] # Style [Select a writing style] # Tone [Select a tone] # Audience [Specify the target audience] # Response Format [Select a response format]
Frequently Asked Questions
What is prompt engineering?
Prompt engineering is the practice of designing and refining inputs (prompts) to AI language models to get more accurate, relevant, and useful responses. It involves structuring your request with clear context, instructions, and constraints so the AI understands exactly what you need.
What is the CO-STAR prompt framework?
CO-STAR stands for Context, Objective, Style, Tone, Audience, and Response format. It is a comprehensive prompt engineering framework that helps you provide all the information an AI model needs to generate a high-quality response. Each letter represents a key element you should include in your prompt.
Which prompt framework should I use for coding tasks?
For coding tasks, the RICE (Role, Instructions, Context, Examples) or Chain of Thought frameworks work best. RICE lets you define the AI's role as a developer and provide specific coding instructions, while Chain of Thought encourages step-by-step reasoning which is ideal for debugging and complex logic.
How do I estimate the token count of my prompt?
A rough estimate is that one token equals approximately 4 characters or 0.75 words in English. This tool shows both character count and estimated token count for your generated prompt. For exact counts, use a dedicated token counter tool for the specific model you are targeting.
Can I use these prompts with any AI model?
Yes. The prompts generated by this tool are model-agnostic and work with any large language model including ChatGPT (GPT-4, GPT-4o), Claude, Gemini, Llama, Mistral, and others. Well-structured prompts improve results across all models.