Free AI Prompt Library - ChatGPT, Claude, Gemini
Library of 397 free AI prompts for ChatGPT, Claude and Gemini. Sorted by category, one-click copy, no signup required.
Looking for free AI prompts that actually work? Our library gathers 397 prompts tested and optimized for ChatGPT, Claude and Gemini. Everything is 100% free - no signup, no copy limit.
Every prompt is sorted by category (writing, productivity, marketing, code, educationβ¦) and comes with concrete examples. You save time by reaching for proven formulations instead of trial-and-error each time.
100% free
No paywall, no mandatory signup to copy a prompt.
Multi-AI
Every prompt works with ChatGPT, Claude, Gemini and Mistral.
Categorized
Filter by topic, difficulty and use case.
Bilingual
Available in French and English, tailored to each audience.
Showing 301-312 of 397 prompts
GitHub Copilot Prompt to Generate a Database Schema
GitHub Copilot radically transforms how developers design their databases. Instead of starting from a blank sheet and manually writing each CREATE TABLE statement, you can now describe your business domain in natural language and get a complete schema in seconds. The tool excels particularly in generating relational schemas with appropriate primary keys, foreign keys, indexes, and constraints. Whether you work with PostgreSQL, MySQL, SQLite, or SQL Server, Copilot adapts the syntax and data types to the targeted SQL dialect. This approach significantly accelerates the modeling phase, reduces syntax errors, and allows you to focus on business logic rather than SQL mechanics. A well-crafted prompt is key: by specifying the application context, entity relationships, and business constraints, you get a production-ready schema that follows best practices for normalization and performance.
Sora Prompt to Create a REST API
Sora, the artificial intelligence model developed by OpenAI, is primarily known for video generation, but its potential extends far beyond. In software development, Sora can be used as an assistant to conceptualize, plan, and structure the creation of a complete REST API. By formulating a precise prompt, you can obtain a detailed architecture, well-defined endpoints, consistent data schemas, and good security practices. The prompt engineering approach allows transforming an abstract idea into an exploitable technical specification in seconds. Whether you are a backend developer looking to speed up the design phase or a project manager wanting to produce preliminary technical documentation, mastering prompts for creating a REST API will save you considerable time. This guide offers an optimized main prompt, variants adapted to your level of expertise, as well as practical tips to get the most out of AI in your API development workflow.
Sora Prompt for Refactoring Code
Code refactoring is a crucial step in the software development lifecycle, aiming to improve the internal structure of a program without changing its external behavior. With the emergence of generative AI models like OpenAI's Sora, new approaches are emerging to assist developers in this complex task. Sora, thanks to its advanced contextual understanding, can analyze existing code blocks and suggest intelligent restructurings that respect best programming practices. Whether you're looking to eliminate duplicated code, simplify overly long functions, apply recognized design patterns, or improve the overall readability of your codebase, a well-crafted prompt yields relevant and immediately applicable refactoring suggestions. The main challenge lies in the precise formulation of your request: the more context you provide about the existing architecture, technical constraints, and quality goals, the more usable the results will be. This guide offers optimized prompts to get the most out of Sora in your refactoring projects, regardless of your expertise level.
Prompt ChatGPT to Create a Chatbot
Creating a chatbot with ChatGPT has become an essential skill for businesses and developers looking to automate customer interactions. Whether you want to set up a technical support assistant, a product recommendation bot, or a conversational agent for your website, ChatGPT provides a powerful foundation for designing intelligent and natural chatbots. Thanks to its contextual understanding and text generation capabilities, it enables creating smooth conversational experiences without requiring months of development. However, the quality of your chatbot directly depends on the precision of your instructions. A well-structured prompt defines the behavior, tone, boundaries, and capabilities of your chatbot. In this guide, we offer optimized prompts for designing a high-performance chatbot with ChatGPT, adapted to different expertise levels. You will discover how to formulate clear instructions to get a chatbot that exactly meets your needs, whether it's a simple FAQ bot or an advanced conversational assistant capable of handling complex scenarios and maintaining context over multiple exchanges.
Mistral Prompt for Creating a Software Architecture
Mistral, the leading French AI model, excels in designing software architectures thanks to its deep understanding of design patterns and technical constraints. Whether you're starting a new project or restructuring an existing application, Mistral can help you define a solid, scalable, and maintainable architecture. By providing a well-structured prompt, you will get detailed recommendations on architectural pattern choices, separation of concerns, appropriate technologies, and inter-service communication strategies. The AI analyzes your business, technical, and organizational constraints to propose a coherent architecture that anticipates future changes. This guide provides optimized prompts to get the most out of Mistral for creating software architectures, from modular monoliths to microservices, as well as event-driven and hexagonal architectures. Each prompt is designed to produce deliverables that can be immediately used by your development team.
Sora Prompt for Documenting Code
Code documentation is often neglected by developers due to lack of time or motivation. Yet visual and dynamic documentation can transform project understanding. Sora, OpenAI's video generation model, opens unprecedented possibilities for creating explanatory videos that accompany your code. Rather than writing pages of text that no one will read, imagine visual clips showing data flow in your application, your microservices architecture, or the user journey through your interface. With the right prompts, Sora can generate clear animations illustrating complex technical concepts: animated sequence diagrams, data structure visualizations, or step-by-step API demonstrations. This approach is particularly effective for onboarding new developers, internal tech presentations, and public documentation of open source projects. The challenge lies in precise prompt formulation so Sora produces technically coherent and pedagogically useful videos. This guide provides optimized prompts to transform your code documentation into engaging, professional visual content.
GitHub Copilot Prompt for Generating JavaScript Code
GitHub Copilot, the AI-powered programming assistant developed by GitHub and OpenAI, has transformed the way developers write JavaScript code. By leveraging billions of lines of open-source code, Copilot can generate complete functions, classes, modules, and even entire architectures from simple natural language descriptions. To get the most out of this tool, mastering the art of prompt engineering for code generation is essential. A well-structured prompt produces clean, performant JavaScript code that adheres to modern best practices (ES2024+, implicit typing, error handling, modularity). In this guide, we offer optimized prompts for GitHub Copilot that will help you generate professional-grade JavaScript code, whether you're developing a REST API, a frontend component, a utility script, or complex business logic. Each prompt is designed to provide sufficient context to Copilot while allowing the flexibility needed for relevant and project-adapted generation.
Stable Diffusion Prompt for Building a REST API
Stable Diffusion, known for its powerful image generation, can play an unexpected yet valuable role in building a REST API. While the tool doesn't generate code directly, it excels at producing architecture diagrams, data flow charts, documentation interface mockups, and technical visuals that support API development. By visualizing your endpoint structure, resource relationships, and authentication flows, you speed up the design phase and improve communication within your team. A well-crafted prompt yields clear visual representations of your REST architecture: entity-relationship diagrams, routing schemas, HTTP request pipeline illustrations, or monitoring dashboard mockups. These visual assets become living documentation tools that complement your OpenAPI specification. In this guide, we offer optimized prompts for generating professional technical visuals related to REST API design, from architecture diagrams to documentation illustrations and data model representations.
ChatGPT Prompt for Generating Python Code
ChatGPT has become an indispensable tool for Python developers, whether beginners or experienced. Thanks to its advanced understanding of natural language, it can transform a functional description into clean, structured, and functional Python code in seconds. But the quality of the generated code depends directly on the quality of the prompt used. A vague prompt will produce generic and often unusable code, while a well-structured prompt will generate production-ready code with error handling, typing, and documentation. In this guide, we provide optimized prompts to get the most out of ChatGPT for generating Python code. Whether you need to write an automation script, a REST API, a data processing algorithm, or a complex class, these prompts will help you obtain precise and professional results. The goal is to save you time while maintaining a high level of quality, guiding ChatGPT with the right instructions so that it respects PEP 8 conventions, includes docstrings, and produces maintainable code.
GitHub Copilot Prompt for Generating Unit Tests
GitHub Copilot has become an indispensable ally for developers looking to speed up writing unit tests. Thanks to its direct integration into the code editor, it analyzes the context of your source files to suggest relevant tests covering edge cases. However, the quality of generated tests heavily depends on the precision of the prompt used. A vague prompt will produce superficial tests, while a structured prompt will guide Copilot toward exhaustive coverage including nominal cases, expected errors, and boundary behaviors. In this guide, we offer an optimized prompt to generate robust unit tests with GitHub Copilot, regardless of your tech stack. You will learn how to formulate your instructions to obtain tests that follow your project's conventions, use the right test framework, and cover critical scenarios you might forget. Whether you work in JavaScript with Jest, Python with pytest, or Java with JUnit, these prompts adapt to your development environment.
Claude Prompt for Creating a Software Architecture
Designing a software architecture is a fundamental step that determines the maintainability, scalability, and robustness of a project. Claude excels in this area thanks to its ability to analyze complex technical constraints, propose suitable architectural patterns, and anticipate design issues before they arise in production. Whether you are starting a new project from scratch, refactoring a monolith into microservices, or evaluating different technology options, Claude can support you at every stage of the decision-making process. By providing precise context about your constraints (team, budget, expected traffic, existing stack), you get argued architectural recommendations, component diagrams, structured ADRs (Architecture Decision Records), and concrete migration plans. The iterative approach with Claude allows you to explore multiple alternatives, compare their trade-offs, and converge towards a solution that balances pragmatism and technical excellence. It's like having a senior software architect available at all times to challenge your ideas and enrich your thinking.
Midjourney Prompt to Generate JavaScript Code
Midjourney is primarily recognized as an artificial intelligence image generation tool, but its potential in the web development field deserves to be explored from a creative angle. By formulating suitable prompts, it is possible to use Midjourney to visualize code architectures, create visual representations of JavaScript structures, or even generate interface mockups that will serve as a basis for writing code. The approach involves transforming programming concepts into visual descriptions that Midjourney can interpret, then translating these results into functional code. This hybrid method between visual design and development proves particularly useful for developers who think visually and want to rapidly prototype user interface components. By combining Midjourney's creative power with a solid understanding of JavaScript, you can significantly accelerate your front-end development workflow. This guide offers optimized prompts to make the most of this synergy between visual generation and JavaScript code, whether you are a beginner or an experienced developer seeking new sources of inspiration for your projects.