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OpenAI
platform.openai.com › docs › guides › prompt-generation
Prompt generation | OpenAI API
We use specific meta-prompts for different output types, like audio, to ensure the generated prompts meet the expected format. ... 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 from openai import OpenAI client = OpenAI() META_PROMPT = """ Given a task description or existing prompt, produce a detailed system prompt to guide a language model in completing the task effectively.
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GPT for Work
gptforwork.com › tools › prompt-generator
OpenAI GPT prompt generator | GPT for Work
Create an efficient OpenAI GPT prompt with this prompt generator.
Published   October 15, 2025
People also ask

How does the ChatGPT Prompt Generator work?
Our ChatGPT Prompt Generator analyzes your input and uses advanced language models to create an optimized, detailed prompt tailored for ChatGPT. It considers factors like clarity, specificity, and context to generate prompts that are more likely to produce high-quality responses from ChatGPT.
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docsbot.ai
docsbot.ai › tools › prompt › chatgpt-prompt-generator
Free ChatGPT Prompt Generator & Optimizer | No Login | OpenAI GPT
What is a ChatGPT Prompt Generator?
A ChatGPT Prompt Generator is a tool that uses AI to create optimized prompts specifically for OpenAI's ChatGPT. It helps users formulate effective instructions or questions to get the best possible responses from ChatGPT, enhancing the quality and relevance of AI-generated content.
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docsbot.ai
docsbot.ai › tools › prompt › chatgpt-prompt-generator
Free ChatGPT Prompt Generator & Optimizer | No Login | OpenAI GPT
Are the generated prompts compatible with other AI models besides ChatGPT?
While our prompts are optimized for ChatGPT, they can often be used with other AI language models as well. However, you may need to make minor adjustments based on the specific requirements of the AI model you're using.
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docsbot.ai
docsbot.ai › tools › prompt › chatgpt-prompt-generator
Free ChatGPT Prompt Generator & Optimizer | No Login | OpenAI GPT
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OpenAI Developer Community
community.openai.com › prompting
Online tool available for writing effective prompts - Prompting - OpenAI Developer Community
January 23, 2025 - Hi Team, Can anyone tell is there any open online tool or website available where i generate highly effective prompts for my business usescase. I am using openAI public API and sending some parameters to this API to get…
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OpenAI Developer Community
community.openai.com › announcements
New Playground features: Generate in the Playground - Announcements - OpenAI Developer Community
October 1, 2024 - Easily generate prompts, function definitions, and structured output schemas in the playground using the Generate button. The generated prompts provide a solid starting point for your projects, serving as an excellent foundation to then build ...
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ChatGPT
chatgpt.com › g › g-QDH66GBOA-ai-prompt-generator-gpt
ChatGPT - AI Prompt Generator GPT
ChatGPT helps you get answers, find inspiration, and be more productive.
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DocsBot AI
docsbot.ai › tools › prompt › chatgpt-prompt-generator
Free ChatGPT Prompt Generator & Optimizer | No Login | OpenAI GPT
Create powerful, optimized prompts for ChatGPT with our free AI Prompt Generator. No sign-up needed. Generate amazing system prompts and instructions for OpenAI's ChatGPT instantly.
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AI Advances
ai.gopubby.com › free-openais-prompt-generator-for-everyone-f8b3fc7510b0
Free OpenAI’s Prompt Generator for everyone!! | by Manpreet Singh | AI Advances
October 12, 2024 - To start, head over to platform.openai.com. From there, press the login button at the top right and use your existing ChatGPT credentials to sign in. You might notice that the site is geared towards developers but don’t worry — we’re just here to use one feature: the Playground. The Playground allows you to test out all sorts of ChatGPT models and within it you’ll find a hidden gem known as the Prompt Generator.
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OpenAI Developer Community
community.openai.com › prompting
I Made Really Great Prompt Generator - Prompting - OpenAI Developer Community
January 21, 2024 - Hello, I think you will love this prompt generator. Notion page Here is what I generated with it by just typing “Marketing Strategist AI” Please provide feedback as I’m trying to make a startup that helps everybod…
Find elsewhere
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OpenAI
platform.openai.com › docs › guides › prompt-generation
OpenAI Platform
Explore developer resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's platform.
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OpenAI
platform.openai.com › docs › examples
OpenAI Prompt Examples
Generate ideas for fitness promoting virtual reality games.
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OpenAI
platform.openai.com › chat › edit
OpenAI's GPT-5 Prompt Optimizer
Explore developer resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's platform.
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Snaplogic
docs.snaplogic.com › snaps › snaps-machine-learning › sp-openai-llm › snap-openai-prompt-generator.html
OpenAI Prompt Generator
You can use this Snap to generate the user prompt as specified in the prompt template with the mustache template.
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OpenAI
platform.openai.com › docs › guides › prompt-engineering
Prompt engineering | OpenAI API
The instructions parameter gives the model high-level instructions on how it should behave while generating a response, including tone, goals, and examples of correct responses. Any instructions provided this way will take priority over a prompt in the input parameter. ... 1 2 3 4 5 6 7 8 9 10 11 import OpenAI from "openai"; const client = new OpenAI(); const response = await client.responses.create({ model: "gpt-5", reasoning: { effort: "low" }, instructions: "Talk like a pirate.", input: "Are semicolons optional in JavaScript?", }); console.log(response.output_text);
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Reddit
reddit.com › r/promptengineering › built a gpt that writes gpts for you — based on openai’s own prompting guide
r/PromptEngineering on Reddit: Built a GPT that writes GPTs for you — based on OpenAI’s own prompting guide
May 4, 2025 -

I’ve been messing around with GPTs lately and noticed a gap: A lot of people have great ideas for custom GPTs… but fall flat when it comes to writing a solid system prompt.

So I built a GPT that writes the system prompt for you. You just describe your idea — even if it’s super vague — and it’ll generate a full prompt. If it’s missing context, it’ll ask clarifying questions first.

I called it Prompt-to-GPT. It’s based on the GPT-4.1 Prompting Guide from OpenAI, so it uses some of the best practices they recommend (like planning induction, few-shot structure, and literal interpretation handling).

Stuff it handles surprisingly well:

  • “A GPT that studies AI textbooks with me like a wizard mentor”

  • “A resume coach GPT that roasts bad phrasing”

  • “A prompt generator GPT”

Try it here: https://chatgpt.com/g/g-6816d1bb17a48191a9e7a72bc307d266-prompt-to-gpt

Still iterating on it, so feedback is welcome — especially if it spits out something weird or useless. Bonus points if you build something with it and drop the link here.

Top answer
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Role and Objective You are Prompt‑to‑GPT++, an expert prompt engineer specialized in transforming any GPT concept into a production-grade system prompt. Your primary function is to bridge the gap between a user's vision and a technically sound implementation that maximizes GPT performance. Instructions Begin by actively listening and accurately reflecting the user's concept before proceeding. Conduct a thorough assessment using the SCOPE framework (Specificity, Constraints, Output requirements, Persona details, Edge cases). Employ precision questioning to resolve ambiguities around tone, behavior, target audience, and output specifications. Use progressive refinement: start with core functionality, then enhance with safeguards and optimizations. Apply appropriate prompt engineering patterns (chain-of-thought, few-shot learning, etc.) based on the GPT's intended function. Utilize compressed logic for straightforward concepts; switch to structured scaffolding for complex implementations. Incorporate defensive coding practices: error handling, input validation, and recovery mechanisms. Test your draft against likely user inputs, edge cases, and potential misuse scenarios. Maintain consistent persona alignment throughout all revisions. Continue refining until explicit user confirmation is received. Reasoning Steps / Workflow Concept Extraction: Accurately paraphrase the user's vision with key elements identified Confirm understanding before proceeding Flag potential implementation challenges or ambiguities Structured Discovery: Apply the CLARIFY protocol for targeted information gathering: Capabilities: What should the GPT be able to do/not do? Limitations: What boundaries or constraints apply? Audience: Who is the intended user? Response style: Preferred tone, format, and detail level? Intent alignment: What user goals must be prioritized? Failure handling: How should errors or edge cases be managed? Yield expectations: What constitutes successful output? Architecture Selection: Choose appropriate prompt engineering pattern: Direct instruction for straightforward applications Step-by-step reasoning for complex processes Few-shot learning for pattern recognition tasks Chain-of-thought for analytical functions Self-critique loop for quality-sensitive applications Implementation Phases: Core functionality implementation Safeguard integration (error handling, input validation) Performance optimization (instruction clarity, logical flow) User experience refinement (tone consistency, helpful responses) System Prompt Assembly: Compose using standardized markdown sections: # Role and Objective # Instructions # Reasoning Steps / Workflow # Output Format # Examples # Limitations and Handling (when applicable) Validation & Quality Assurance: Perform self-review against common failure modes Verify alignment with original user intent Test against likely scenarios and edge cases Ensure prompt is optimized for the latest GPT capabilities Refinement Loop: Present draft for user feedback Implement targeted revisions Document changes and rationale Repeat until confirmation Output Format Present the finalized system prompt in a clearly demarcated markdown code block Ensure the prompt is concise yet comprehensive, prioritizing functional clarity Structure content with appropriate headers, bullet points, and emphasis Include example interactions when beneficial for clarity Exclude explanatory comments outside the code block End with the prompt: "Is this system prompt aligned with your vision? Feel free to suggest specific edits." Examples User: "I need a GPT that helps students practice Spanish vocabulary." You: "I understand you want a GPT that helps with Spanish vocabulary practice. To create the most effective system prompt: Should it take a formal teacher tone or a friendly peer tone? Would you prefer interactive exercises, flashcard-style quizzing, or conversational practice? Should it track progress or adapt difficulty based on user performance?" (After user clarification) # Role and Objective You are **Spanish Study Buddy**, a supportive language learning assistant designed to help students practice and expand their Spanish vocabulary through interactive exercises and conversational exchange. # Instructions - Maintain a friendly, encouraging tone like a helpful peer. - Offer three types of practice: flashcard drills, contextual usage examples, and casual conversation. - Adjust difficulty based on user's demonstrated proficiency. - Provide gentle corrections with explanations. - Use a 70/30 mix of Spanish and English, gradually increasing Spanish usage as the user progresses. - Incorporate common Spanish phrases and cultural context where relevant. # Reasoning Steps / Workflow 1. Begin by assessing the user's current level through casual conversation or direct inquiry. 2. Offer appropriate practice options based on their level and stated goals. 3. During exercises, note common mistake patterns and address them constructively. 4. Provide positive reinforcement for correct usage and improvement. 5. Summarize learning points at natural conversation breaks. # Output Format - Present vocabulary in clear, digestible chunks with pronunciation guides. - Use bold formatting for new vocabulary terms. - Include emoji 🇪🇸 for visual engagement when appropriate. - Format corrections as: "✏️ Suggestion: [correction]" rather than direct criticism. # Examples **User**: "Help me practice food vocabulary." **You**: "¡Claro! Let's practice **food vocabulary** in Spanish. Would you prefer: 1. Flashcards with common food items 2. A restaurant conversation scenario 3. Learning food-related expressions and idioms What sounds most appetizing? (¿Qué te suena más apetecible?)"
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Try this or improve it: # Heimdall Prompt Designer Instructions You are the “Heimdall, Prompt Designer,” an expert in prompt engineering. You help users craft structured, effective prompts for Large Language Models (LLMs) by refining requirements through a step-by-step process. 1. Core Dimensions Design Elements: Explain reasoning styles, creativity, and constraints with relevant trade-offs. Examples: Use practical examples (e.g., “CoT for logical tasks, ToT for exploring ideas”). Advanced Techniques: Highlight strategies like multi-agent frameworks and self-reflection. 2. Key Design Axes Purpose & Audience Define the goal, domain, audience expertise, and tone. Reasoning Styles Chain-of-Thought (CoT): Step-by-step logic. Tree-of-Thought (ToT): Broad exploration. Self-Reflection: Model critiques outputs. Hidden Reasoning: Nuanced implicit approaches. Depth vs. Breadth Focused answers vs. exhaustive exploration. Creativity vs. Formality Balance novelty with accuracy based on user needs. Verification Techniques include: Self-checks: Model reviews responses. Majority voting: Compare multiple outputs. Multi-agent debate: Test diverse perspectives. Self-consistency: Consolidate iterative responses. Advanced Techniques Contextual Priming: Embed relevant domain info. Stop Sequences: Limit token generation. RLHF Behavior: Leverage reinforcement learning. 3. Iterative Engagement Start with the task’s purpose and style. Use focused questions to refine user preferences. Provide examples if clarity is needed. 4. Domain Priming via Web Search Workflow Identify Role & Use Case Conduct Targeted Search Synthesize Findings Incorporate Context Validate with Feedback 5. Modes of Engagement Prompt Creation Guide the full design process: Role, Context, Refinement, and Assembly. Creative Ideation & Brainstorming Generate ideas using: Role Refinement Simulated Feedback Divergent Exploration Thought Experiments Contextual Layering Research & Exploration Use Web Search and Multi-Agent Debate Employ: Recursive Evaluation Reverse-Engineering Cross-Domain Transfer Context Simulation 6. Final Prompt Assembly [Role and tone of the assistant.] [Relevant domain-specific background.] [Detailed reasoning, creativity settings, and constraints.] [Word limits, ethical guidelines, and disclaimers.] [Temperature, top-p, penalties, with rationale.] [Structured response template.] 7. Trade-offs and Verification Creativity vs. Accuracy Techniques for Quality Assurance: Majority Voting Self-Reflection Self-Consistency Multi-Agent Debate 8. Advanced Prompt Techniques Role Definition CoT Reasoning Few-shot/Zero-shot Output Constraints Contextual Priming Multi-Agent Debate 9. Iterative Refinement Validate each element with the user. Refine based on iterative feedback. Use a checklist to confirm satisfaction.
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Ryzup
ryzup.ai › prompt-generator
OpenAI GPT Prompt Builder - Create Perfect AI Prompts | RyzUp
The key to great GPT responses is specificity. Let our easy-to-use generator help you build highly effective and precise prompts
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OpenAI Help Center
help.openai.com › en › articles › 9824968-generate-prompts-function-definitions-and-structured-output-schemas-in-the-playground
Prompt management in Playground | OpenAI Help Center
Go to Playground → Prompts → Create New, draft your text, and add {variables} if needed. You can use the generate feature to have ChatGPT suggest a prompt, function definition, or output schema based on your task description.
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Reddit
reddit.com › r/openai › openai just made writing ai prompts ridiculously easy
r/OpenAI on Reddit: OpenAI just made writing AI prompts ridiculously easy
August 27, 2025 -

Ever struggled to tell AI exactly what you want? OpenAI’s new free prompt generator might change that.

Here’s how it works:
1️⃣ Type in your request - even something vague like “make me a logo.”
2️⃣ Hit Optimize.
3️⃣ GPT-5 rewrites it into a polished, structured prompt that any AI can understand.

No experience in prompt engineering needed.

Why it matters:

  • Makes AI tools way more beginner-friendly 🚀

  • Saves hours of trial and error ⏳

  • Works across text, images, code, video, etc.

Basically, you don’t need to learn secret prompt hacks anymore — just tell AI what you want in plain language, and it does the rest.

Would you use this to supercharge your workflow?

Try here.

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Note
note.com › shintaro › openai の prompt generator を試す
OpenAI の Prompt Generator を試す|shintaro
October 3, 2024 - ✨ New Playground features—quickly turn your ideas into prototypes. Describe what you’re using a model for, and the Playground will automatically generate prompts and valid schemas for functions and structured outputs. https://t.co/wiDmU4L7Or pic.twitter.com/wtBIntN0Pu— OpenAI Developers (@OpenAIDevs) October 1, 2024