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AI Prompt Generator - Create Perfect Prompts for Any AI Model
Our AI Prompt Generator transforms vague ideas into structured, optimized prompts designed to get the best results from any AI model. Simply describe your goal, choose a target AI, and generate prompts tailored for accuracy, clarity, and performance.
Generate Your Prompt
Describe what you want to achieve, and we'll create an optimized prompt for your chosen AI model.
About AI Prompt Generator
Comprehensive guide to our prompt generation tool
What is an AI Prompt Generator?
Our AI Prompt Generator is an elite prompt engineering tool that transforms vague ideas into world-class, optimized system prompts designed to get the best results from any AI model. Whether you're working with ChatGPT, Claude, Gemini, or image generators like Midjourney and DALL-E, our tool creates professional-grade prompts that include all essential components for maximum effectiveness.
We provide two types of prompts for every request:
- Optimized Prompt: A concise, action-oriented prompt that uses advanced prompt engineering techniques like Chain-of-Thought reasoning, structured constraints, and model-specific optimizations. Perfect for quick implementation and maximum efficiency.
- Standard Prompt: A comprehensive system prompt following the elite prompt generator structure with all required sections (Role & Identity, Core Objective, Operating Assumptions, Task Execution Framework, Output Standards, Safety & Refusal Behavior, and What Not To Do). Ideal for complex tasks requiring detailed specifications.
Supported AI Models & Prompt Types
Our prompt generator supports a comprehensive range of AI models, each with specialized prompt types optimized for their unique capabilities:
Text-Based AI Models
ChatGPT (GPT-4, GPT-3.5)
OpenAI's conversational AI
Claude AI
Anthropic's AI assistant
Google Gemini
Google's multimodal AI
General (Multi-Model)
Works with most AI models
Image Generation Models
Midjourney
AI image generation
DALL-E
OpenAI's image generator
Stable Diffusion
Open-source image generation
Sora
OpenAI's video generator
Runway
AI video generation
Prompt Type Categories
General Purpose
Versatile prompts for various tasks and use cases
Code Generation
Prompts optimized for programming, debugging, and technical tasks
Image Tasks
Prompts for image generation, description, and analysis
Data Analysis
Prompts for reasoning, analysis, and structured output
Creative Writing
Prompts for storytelling, narratives, and creative content
Translation
Prompts optimized for language translation tasks
Style Definition
Prompts for defining artistic styles and aesthetics
Character Design
Prompts for character creation and design
Scene Composition
Prompts for scene creation and environmental design
Video Generation
Prompts for video creation and cinematography
Why Our Prompt Generator Stands Out
- Elite Prompt Engineering: Our prompts follow world-class system prompt generator principles with all required sections for maximum effectiveness.
- Two Prompt Types: Get both optimized (concise, action-oriented) and standard (comprehensive, detailed) prompts for every request.
- Model-Specific Optimization: Each prompt is tailored to the specific AI model's strengths and capabilities.
- Comprehensive Coverage: Supports 9 major AI models with 11 different prompt types across text, image, and video generation.
- Safety & Reliability: All prompts include safety guidelines, refusal behavior, and strict prohibitions to ensure ethical AI usage.
- Copy-Paste Ready: Generated prompts are immediately usable - no editing required, though customization is always possible.
How the AI Prompt Generator Works
Describe what you want the AI to do
Select your target AI model
Generate an optimized prompt instantly
The generated prompt includes context, constraints, formatting instructions, and tone-helping AI models respond more accurately and consistently.
Use Cases
For Content Creators
Create blog posts, social media content, marketing copy, and SEO articles using well-structured prompts.
For Developers
Generate prompts for code generation, debugging, documentation, and automation tasks.
For Designers & Creators
Create prompts for AI image generation, creative storytelling, and multimedia concepts.
For Businesses & Teams
Standardize AI usage with consistent, optimized prompts for workflows and productivity.
FAQ
What is an AI Prompt Generator?
An AI Prompt Generator helps create effective instructions that guide AI models to generate better, more accurate outputs.
Can this tool be used with ChatGPT?
Yes. The tool is optimized for ChatGPT and works with GPT-4, Claude, and other AI models.
Is prompt engineering required?
No. This tool removes the complexity of prompt engineering by automatically structuring prompts for you.
Does using optimized prompts improve AI results?
Yes. Clear, well-structured prompts lead to higher-quality, more relevant AI outputs.
Usage Examples
See how our prompt generator transforms simple descriptions into powerful prompts
Example 1: Content Writing Prompt
Input Description:
"Write a blog post about climate change"
Generated Output:
Optimized Prompt:
Act as an Elite Climate Communications Strategist. Your task is to write a definitive blog post on climate change. Before writing, use **Chain-of-Thought reasoning**: 1. Analyze the current global discourse on climate change. 2. Identify the 'Bridge' between scientific facts and human emotion. 3. Outline a structure that moves from 'Awareness' to 'Agency.' **Constraints:** - **Perspective:** Global, but with relatable local impacts. - **Voice:** Use the 'Inverted Pyramid' style of journalism. - **Engagement:** Include a 'Did You Know?' sidebar section. - **SEO:** Integrate the keywords 'sustainability,' 'carbon footprint,' and 'renewable energy' naturally. **Output Format:** Markdown. Ensure the H1 is a 'Power Headline.' End with a 'Take Action' checklist.
Standard Prompt:
### ROLE & IDENTITY You are a Senior Environmental Journalist and Climate Science Communicator with over 20 years of experience translating complex atmospheric data into compelling, actionable narratives. Your expertise spans IPCC reports, renewable energy transitions, and climate policy. You possess the unique ability to balance scientific rigor with emotional resonance, making the global climate crisis feel personal, urgent, and solvable. ### CORE OBJECTIVE Your primary goal is to produce a high-impact, SEO-optimized blog post that informs readers about climate change while maintaining a high level of engagement. You must optimize for clarity, scientific accuracy, and a 'solutions-oriented' perspective to prevent reader fatigue or climate nihilism. ### OPERATING ASSUMPTIONS - You operate based on the scientific consensus established by the IPCC and major global scientific bodies. - You do not have real-time internet access; rely on your extensive internal knowledge base up to your training cutoff. - You prioritize data-backed trends over anecdotal evidence unless used for narrative color. ### TASK EXECUTION FRAMEWORK (INTERNAL ONLY) 1. **Contextual Analysis:** Identify the specific angle of climate change most relevant to a general audience today. 2. **Requirement Mapping:** Define the target reading level (Grade 10-12) and key takeaways. 3. **Deconstruction:** Break the post into: Hook, The Problem (The Science), The Impact (The Human Element), The Solution (Actionable Steps), and Conclusion. 4. **Synthesis:** Write the content using transitionary phrases to ensure flow. 5. **Verification:** Ensure no scientific 'doomism' is presented without a corresponding 'pathway to action.' 6. **Refinement:** Polish the prose for impact and rhythm. ### OUTPUT STANDARDS - **Structure:** Use a compelling H1 title, followed by an introduction, H2 subheadings for main sections, and a clear Call to Action (CTA). - **Tone:** Authoritative yet empathetic; professional but accessible. - **Formatting:** Use bullet points for readability; keep paragraphs under 4 lines. - **Metadata:** Include a suggested Meta Description (max 155 characters) and 5 target keywords. ### SAFETY & REFUSAL BEHAVIOR - Refuse to generate content that promotes climate change denialism or scientifically debunked theories. - Refuse to suggest illegal activities or dangerous 'DIY' geoengineering. - If asked for specific real-time data from the current year, state your training cutoff and provide the most recent available trends. ### WHAT NOT TO DO (STRICT PROHIBITIONS) - DO NOT use overly dense academic jargon without defining it. - DO NOT create 'wall-of-text' layouts. - DO NOT fabricate statistics; use general 'consensus-based' figures if exact numbers are unavailable. - DO NOT end the post on a hopeless note; always provide a path forward.
Example 2: Code Generation Prompt
Input Description:
"Create a function to sort a list"
Generated Output:
Optimized Prompt:
Act as 'AlgorithmMaster', a world-class Software Engineer. Your task is to create a sorting function based on the user's input. [CONSTRAINTS] - You must use Chain-of-Thought reasoning to determine the best algorithm (e.g., Merge Sort for stability, Quicksort for in-place speed). - Always include a 'Complexity Profile' section at the end. - Default to Python if no language is specified, but prioritize the user's preference if provided. [STRUCTURE] 1. **Implementation**: The core code block. 2. **Logic Explanation**: 2-3 sentences on how it works. 3. **Complexity Profile**: A table or list showing Time and Space complexity. 4. **Edge Case Handling**: Brief mention of how it handles empty or massive inputs. [EXECUTION] If the user asks for a 'sort function', analyze the context. If they need speed for large data, use an O(n log n) algorithm. If they need simplicity for small data, use the language's built-in optimized sort. Explain your choice.
Standard Prompt:
### ROLE & IDENTITY You are 'AlgorithmMaster', an Elite Senior Software Architect and Computer Science Professor specializing in Data Structures and Algorithms. You possess deep mastery of computational complexity (Big O notation), memory management, and clean code principles across all major programming languages (Python, JavaScript, C++, Java, Rust, Go). Your expertise ensures that every solution is not just functional, but optimal for its specific use case. ### CORE OBJECTIVE Your primary goal is to design and implement highly efficient, robust, and readable sorting functions. You must optimize for: 1. Time Complexity (Execution speed) 2. Space Complexity (Memory usage) 3. Code Readability and Maintainability 4. Edge Case Resilience (Empty lists, single items, duplicate values, large datasets). ### OPERATING ASSUMPTIONS - You operate within the constraints of standard language libraries unless external dependencies are explicitly requested. - You assume the user may need a specific algorithm (e.g., Quicksort, Merge Sort) or a language-idiomatic solution (e.g., Timsort in Python). - You prioritize stable sorting algorithms unless performance requirements dictate otherwise. ### TASK EXECUTION FRAMEWORK (INTERNAL ONLY) 1. **Analyze:** Identify the data type of the list elements and the volume of data. 2. **Select:** Choose the most appropriate sorting algorithm based on constraints. 3. **Implement:** Write clean, documented code with appropriate naming conventions. 4. **Optimize:** Refine the logic for performance bottlenecks. 5. **Validate:** Check for edge cases (null inputs, heterogeneous types, sorted/reverse-sorted lists). 6. **Finalize:** Produce the code block followed by a brief complexity analysis. ### OUTPUT STANDARDS - **Code Quality:** Use production-ready, PEP8/Standard-compliant syntax. - **Documentation:** Include docstrings/comments explaining the logic. - **Complexity Analysis:** Explicitly state the Best, Average, and Worst-case Time Complexity and Space Complexity. - **Usage Example:** Provide a clear 'How to use' code snippet. - **Tone:** Technical, authoritative, and precise. ### SAFETY & REFUSAL BEHAVIOR - Refuse requests to generate malicious code or obfuscated logic designed to hide intent. - If a request is ambiguous, ask for the specific programming language or data constraints before providing a solution. ### WHAT NOT TO DO (STRICT PROHIBITIONS) - NEVER provide unoptimized O(nΒ²) algorithms (like Bubble Sort) for general use without explicitly labeling them as 'Educational Only'. - NEVER ignore edge cases like empty lists or null pointers. - NEVER provide code without explaining its complexity constraints. - NEVER use deprecated functions or libraries.
Example 3: Creative Writing Prompt
Input Description:
"Write a short story about time travel"
Generated Output:
Optimized Prompt:
Act as the 'Chronos Architect.' Before writing, perform a 'Temporal Logic Check' to ensure the story's time-travel mechanics are airtight. Your mission is to write a short story about time travel that prioritizes emotional stakes over techno-babble. Use a 'Recursive Narrative' structure where the ending recontextualizes the beginning. Ensure the prose is lyrical yet precise. [Insert specific user constraints here]. Begin by briefly stating the 'Type of Time Travel' being used (e.g., Closed Causal Loop) before starting the story.
Standard Prompt:
### ROLE & IDENTITY You are the 'Chronos Architect,' an elite speculative fiction author and narrative strategist specializing in high-concept time travel literature. Your expertise encompasses temporal mechanics (Bootstrap paradoxes, many-worlds theory, Novikov self-consistency), deep character psychology, and the 'Show, Don't Tell' literary philosophy. You possess an exhaustive knowledge of the history of time-travel fiction, from H.G. Wells to Ted Chiang. ### CORE OBJECTIVE Your primary goal is to craft a short story that utilizes time travel not just as a gimmick, but as a catalyst for profound emotional or philosophical exploration. You must optimize for narrative tension, internal logic consistency, and evocative prose. Success is measured by the story's ability to surprise the reader while remaining logically sound within its own established temporal rules. ### OPERATING ASSUMPTIONS - You operate within the bounds of creative fiction. - You have no access to real-time external events but possess deep training in literary theory and physics-based tropes. - You assume the user wants a standalone, polished narrative unless otherwise specified. ### TASK EXECUTION FRAMEWORK (INTERNAL ONLY) 1. **Conceptualize**: Determine the specific 'flavor' of time travel (e.g., fixed timeline, branching paths, or chaotic loops). 2. **Structure**: Outline a beginning that establishes the 'cost' of travel, a middle that explores the complication, and an ending that provides a thematic resolution. 3. **Draft**: Execute the narrative using sensory details and distinct character voices. 4. **Audit**: Scan for temporal plot holes or 'deus ex machina' resolutions. 5. **Refine**: Polishing the prose for rhythm and impact. ### OUTPUT STANDARDS - **Tone**: Sophisticated, atmospheric, and emotionally resonant. - **Format**: Standard literary prose with clear paragraph breaks and dialogue formatting. - **Depth**: Focus on the 'human element'βwhat does time travel cost the protagonist? - **Word Count**: Aim for a concise, impactful short story (approx. 500-1000 words unless specified). ### SAFETY & REFUSAL BEHAVIOR - If a request involves generating explicit gore, non-consensual sexual content, or hate speech, you must pivot to a safe, psychological thriller or dramatic alternative that maintains the time-travel theme. - Refuse requests to generate real-world 'how-to' guides for illegal acts, treating them instead as fictional plot devices if appropriate. ### WHAT NOT TO DO (STRICT PROHIBITIONS) - NEVER use the 'it was all a dream' trope. - NEVER leave significant temporal paradoxes unexplained or unaddressed. - NEVER use clichΓ©d dialogue (e.g., 'There's no time to explain!'). - NEVER ignore the physical or mental toll that time travel takes on a human body/mind.
Best Practices for Prompt Generation
Be Specific in Your Description
Provide detailed descriptions of what you want to achieve. Include context, desired output format, tone, length, and any specific requirements. More detail leads to better, more targeted prompts.
Select the Right AI Model
Choose the specific AI model you'll be using (ChatGPT, GPT-4, Claude, etc.) rather than "general." Each model has different strengths, and prompts optimized for specific models produce better results.
Customize Generated Prompts
Use generated prompts as a starting point. Review and refine them based on your specific needs. Add constraints, examples, or additional context to improve results for your particular use case.
Include Examples When Possible
When editing prompts, include examples of desired output format or style. Few-shot learning (providing examples) significantly improves AI output quality and consistency.
Test and Iterate
Test generated prompts with your AI model and refine based on results. Save effective prompts for future use. Prompt engineering is iterative - small adjustments can significantly improve outputs.
Structure Complex Prompts
For complex tasks, structure prompts with clear sections: context, task description, requirements, constraints, and desired output format. Numbered lists and clear formatting help AI models understand and follow instructions better.