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.
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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 265-276 of 397 prompts
Sora Prompt for Generating Unit Tests
Sora, developed by OpenAI, is primarily known as a video generation model, but its AI ecosystem can be leveraged for software development tasks, including generating unit tests. By crafting precise and structured prompts, you can harness Sora's contextual understanding capabilities to produce robust test suites covering nominal cases, edge cases and error scenarios. Automated unit test generation saves developers significant time while improving code coverage. A good prompt must specify the programming language, desired testing framework, expected behavior of the function to be tested, and project-specific constraints. This systematic approach ensures maintainable, readable tests that follow industry best practices. Whether you are working on a REST API, utility library or complex application, the prompts presented in this guide will help you produce professional-quality unit tests in seconds.
Midjourney Prompt for Creating E2E Tests
Midjourney, recognized for its power in AI image generation, can play an unexpected but strategic role in creating end-to-end (E2E) tests. While Midjourney does not directly generate test code, it excels in visualizing user journeys, creating reference mockups for visual tests, and producing flow diagrams illustrating test scenarios. By generating precise visual representations of each step of a user journey β from the homepage to order confirmation β you get visual support that facilitates writing comprehensive E2E tests. These visuals serve as living documentation for your QA team, clarify edge cases, and ensure every critical interaction is covered. Whether you're working on a complex web application or a mobile platform, using Midjourney to visually map your test scenarios transforms an abstract process into a concrete workflow shareable with the entire development team.
Sora Prompt for Generating SQL Queries
Sora, developed by OpenAI, is primarily known as a video generation model, but its integration into the OpenAI ecosystem also makes it possible to leverage its text capabilities for technical tasks like generating SQL queries. By crafting precise and structured prompts, you can obtain optimized SQL queries tailored to your database schema and business needs. Whether you work with MySQL, PostgreSQL, SQL Server, or SQLite, a well-constructed prompt allows you to generate complex queries including joins, subqueries, aggregations, and window functions. The major advantage lies in the model's ability to understand a natural language description and transform it into a syntactically correct and performant query. This approach is particularly useful for developers looking to speed up their workflow, data analysts who are not fully proficient in SQL, or teams needing to quickly prototype queries on complex schemas. In this guide, we provide optimized prompts to get the most out of Sora for generating SQL queries, with variants suitable for each expertise level.
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.
GitHub Copilot Prompt for Creating a Prototype
GitHub Copilot has become an indispensable ally for developers who want to quickly turn an idea into a functional prototype. Rather than starting from scratch and writing every line of code manually, Copilot can significantly accelerate the prototyping phase by generating complete code structures, UI components, and business logic from natural language descriptions. Whether you are building a web application, a REST API, or an interactive user interface, a well-crafted prompt allows Copilot to produce a functional skeleton in minutes rather than hours. The main challenge lies in the precision of your prompt: the more clearly you describe the desired architecture, the technology stack, and the key features, the more usable the generated prototype will be and the closer it will be to your vision. This page guides you with optimized prompts to get the most out of GitHub Copilot in your prototyping process, from simple MVPs to multi-component applications.
Prompt Claude for Generating Python Code
Claude, developed by Anthropic, is one of the most powerful AI assistants for generating Python code. With its deep understanding of programming paradigms, best practices, and popular libraries, Claude can produce clean, documented, and functional code in seconds. Whether you are a beginner developer looking to learn by example, or a professional wanting to speed up your workflow, knowing how to formulate an effective prompt makes all the difference between a generic snippet and production-ready code. The challenge is not simply to ask "write Python code", but to provide enough context β objective, constraints, style, error handling β so that Claude generates exactly what you need. A well-structured prompt yields code that follows PEP 8 conventions, includes type hints, handles edge cases, and integrates naturally into your existing project. In this guide, you will find an optimized main prompt as well as variants tailored to each expertise level to get the most out of Claude in your Python projects.
Stable Diffusion Prompt for Creating a Chatbot
Stable Diffusion is a particularly powerful AI image-generation tool for creating the visual elements of a chatbot. Whether you are developing a virtual assistant for your website, a customer service application, or a conversational companion, the visual identity of your chatbot plays a crucial role in user engagement. With Stable Diffusion, you can generate professional avatars, expressive icons, mocked-up user interfaces, and illustrations that give a unique personality to your chatbot. A well-designed avatar inspires trust, humanizes the interaction, and reinforces your brand consistency. In this guide, we offer optimized prompts to create all the visual assets needed for your chatbot: from the main avatar portrait to variations of emotional expressions, as well as interface elements like chat bubbles and action buttons. Each prompt has been tested and refined to produce consistent, professional, and ready-to-use results for your chatbot development projects.
DALL-E Prompt for Generating Unit Tests
DALL-E, OpenAI's image generation model, might seem like a surprising choice for creating unit tests. Yet, by leveraging its ability to understand structured prompts, it's possible to use it creatively in a development workflow. The idea isn't to generate code directly, but to produce visual diagrams, test coverage schematics, test case matrices, or graphical representations of the architecture to be tested. These visuals then serve as a reference to structure your unit tests exhaustively. By combining DALL-E with a code generation tool like ChatGPT or Copilot, you create a visual-to-code pipeline that improves the quality and completeness of your test suites. This approach is particularly useful for teams that favor visual documentation and collaborative code reviews, where a picture is worth a thousand lines of specification.
Claude Prompt for Generating JavaScript Code
Claude excels at generating JavaScript code thanks to its deep understanding of modern programming paradigms. Whether you are developing a web application, a Node.js script, or a reusable library, a well-structured prompt yields clean, performant, and maintainable code. The key lies in the precision of your request: by specifying the technical context, performance constraints, desired code style, and edge cases to handle, Claude produces code that directly integrates into your project. This guide provides optimized prompts to get the most out of Claude for JavaScript generation, from simple utility snippets to complete module architectures. You will learn how to formulate your requests to get ES2024+ code, typed when necessary, documented, and accompanied by tests. The tiered approach allows you to adapt the complexity of the prompt to your experience and project requirements, guaranteeing immediately usable results in production.
DALL-E Prompt for Building a REST API
DALL-E, OpenAI's image generation model, might seem like a surprising choice when talking about building REST APIs. Yet, API design also involves visualization: architecture diagrams, data flow schemas, endpoint mockups, and visual representations of data models. DALL-E lets you quickly generate conceptual illustrations that improve communication between developers, architects, and non-technical stakeholders. Whether you need a microservices architecture diagram, a visual representation of your REST model, or an infographic explaining the HTTP request-response cycle, DALL-E can produce professional visuals in seconds. These illustrations are especially useful for technical documentation, team presentations, technical blog posts, or training materials. By combining precise prompts describing the components of a REST API β endpoints, HTTP methods, status codes, authentication flows β with a suitable visual style, you obtain clear, aesthetic diagrams that make your technical concepts immediately understandable. This guide helps you write optimized prompts to create REST API architecture visuals with DALL-E.
Midjourney Prompt for Creating a Chatbot
Midjourney has become an essential tool for designing a chatbot's visual identity. Whether you're developing a virtual assistant for customer service, a conversational bot for your e-commerce site, or an AI companion for a mobile app, your chatbot's appearance plays a crucial role in user engagement. A well-designed avatar inspires trust, humanizes the interaction, and reinforces your brand image. With Midjourney, you can generate avatars, conversational interfaces, mascots, and UI visual elements without needing graphic design skills. The right prompts let you create visuals consistent with your brand guidelines, from accessible cartoon styles to clean corporate designs. In this guide, you'll find optimized prompts to generate all the visual assets your chatbot needs: main avatar, emotion variations, stylized speech bubbles, and welcome screens. Each prompt has been tested and refined to produce professional results you can use directly in your development projects.
Prompt Gemini for Creating a Software Architecture
Designing a solid software architecture is one of the most critical steps in any development project. A poor architecture leads to technical debt, scalability issues, and exploding maintenance costs. Gemini, Google's AI model, excels at structuring complex systems thanks to its ability to simultaneously analyze multiple technical constraints. By providing a well-built prompt, you get a detailed architecture covering technology choices, design patterns, data flows, and deployment strategies. Whether you are starting from scratch or looking to modernize an existing monolith, Gemini helps you explore trade-offs between microservices and monolith, identify potential points of failure, and document your architectural decisions. The tool is particularly useful for architects wanting to validate their intuitions, senior developers upskilling on architecture, and teams needing a structured starting point for their ADRs (Architecture Decision Records). Here is how to formulate your prompts to get the most out of it.