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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, education…) 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 313-324 of 397 prompts

πŸ’»DeveloppementIntermediateGemini

Gemini Prompt for Creating a Chatbot

Gemini, Google's artificial intelligence model, offers remarkable capabilities for designing high-performance chatbots tailored to your needs. Whether you want to create a customer assistant for your e-commerce site, a technical support bot or a conversational companion, Gemini excels at understanding natural language nuances and generating contextual responses. Thanks to its extended context window and multimodal capability, Gemini enables building chatbots that can process text, images and even documents. The main challenge lies in the quality of the initial prompt that will define your chatbot's personality, tone, limits and skills. A well-structured prompt transforms Gemini into a true conversational architect, capable of generating the code, dialogue flows and business logic needed. In this guide, we offer optimized prompts to get the most out of Gemini when creating chatbots, from rapid prototyping to production deployment with error handling and advanced customization.

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πŸ’»DeveloppementIntermediateAll AIs

Mistral Prompt for Generating Python Code

Mistral, the artificial intelligence model developed by the French startup Mistral AI, has established itself as an essential benchmark for code generation. Thanks to its optimized architecture and training on massive corpora of open source code, Mistral excels particularly in producing clean, functional, and well-structured Python code. Whether you are a developer looking to speed up your workflow, a data scientist wanting to automate analysis scripts, or a beginner learning the basics of programming, a well-crafted prompt makes all the difference between an unusable snippet and production-ready code. The key lies in the precision of your instructions: specifying the context, technical constraints, expected code style, and edge cases to handle. In this guide, we offer optimized prompts to get the most out of Mistral for Python code generation, with variants tailored to every skill level and use case, from simple utility scripts to complex software architecture.

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πŸ’»DeveloppementIntermediateChatGPT

Prompt ChatGPT to Create a Prototype

Creating a prototype is a crucial step in any development process, whether for a mobile app, website, physical product, or innovative service. Traditionally, this phase required advanced technical skills, expensive specialized tools, and several weeks of work. With ChatGPT, you can now dramatically accelerate this step by generating functional mockups, technical architectures, exploratory code, and detailed specifications in minutes. The AI helps you structure your idea, define key features, and produce concrete deliverables you can immediately test with target users. Whether you are a solo entrepreneur seeking to validate a concept, a designer wanting to quickly explore multiple directions, or a developer looking to lay the groundwork for an MVP, the prompts on this page will help you transform an abstract idea into a tangible prototype. The goal is not to replace in-depth design work, but to drastically reduce the time between initial idea and first user feedback, leveraging ChatGPT's ability to synthesize, structure, and generate technical content tailored to your context.

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πŸ’»DeveloppementIntermediateAll AIs

Sora Prompt for Generating a Database Schema

Sora, the visual generation model developed by OpenAI, offers interesting possibilities for creating visual representations of database schemas. Instead of working with traditional technical tools like dbdiagram.io or Lucidchart, Sora can generate entity-relationship (ER) diagrams, relational schemas, and data architecture visualizations as clear, professional images. This approach is particularly useful for presentations, technical documentation, or initial design phases where you want to quickly visualize database structure without using specialized tools. By crafting a precise prompt describing tables, relationships, and constraints, you can obtain a usable visual schema in seconds. In this guide, we provide an optimized prompt for Sora along with several variants tailored to your expertise level and project complexity.

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πŸ’»DeveloppementIntermediateGemini

Prompt Gemini for Generating a Database Schema

Designing a database schema is a fundamental step in any software project. A well-thought-out schema ensures data consistency, optimizes query performance, and facilitates long-term maintenance. Gemini, Google's AI model, excels at generating database schemas thanks to its deep understanding of relational modeling principles, normal forms, and integrity constraints. By providing a structured prompt describing your business domain, main entities, and use cases, Gemini can produce a complete schema with tables, typed columns, primary keys, foreign keys, indexes, and constraints. Whether you work with PostgreSQL, MySQL, SQLite, or any other DBMS, Gemini adapts the generated SQL syntax to the target dialect. This approach significantly accelerates the design phase while adhering to modeling best practices, allowing you to move more quickly to application development.

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πŸ’»DeveloppementIntermediateAll AIs

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.

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πŸ’»DeveloppementIntermediateAll AIs

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.

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πŸ’»DeveloppementIntermediateAll AIs

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.

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πŸ’»DeveloppementIntermediateChatGPT

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.

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πŸ’»DeveloppementIntermediateClaude

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.

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πŸ’»DeveloppementIntermediateAll AIs

DALL-E Prompt to Generate JavaScript Code

DALL-E, the image generation model developed by OpenAI, is not designed to produce executable JavaScript code. However, it can play a valuable complementary role in a JavaScript developer's workflow. DALL-E excels at creating visuals related to development: user interface mockups, architecture diagrams, data flow schemas, or illustrations to document your code. By crafting precise prompts, you can obtain visual representations of complex JavaScript concepts like closures, the event loop, or design patterns. These visuals then serve as references for implementing your code, creating attractive technical documentation, or designing educational materials. The approach is to use DALL-E as a rapid visual prototyping tool: generate a UI mockup, then translate it into JavaScript components. This method accelerates the design phase and reduces back-and-forth between designers and developers. In this guide, we offer optimized prompts to get the most out of DALL-E in your JavaScript development process, from UI prototyping to visual documentation of your code.

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πŸ’»DeveloppementIntermediateChatGPT

ChatGPT Prompt to Generate Unit Tests

Writing unit tests is a crucial step in software development, but it is often seen as time-consuming and repetitive. ChatGPT radically transforms this practice by allowing you to generate complete test suites in seconds. Whether you work in JavaScript, Python, Java, or any other language, AI can analyze your source code, identify edge cases, and produce tests covering both nominal scenarios and error cases. The challenge is not just to produce test code, but to ensure relevant coverage that actually detects regressions. A well-structured prompt enables ChatGPT to understand the business context of your function, the dependencies to mock, and the assertions to verify. Developers who master this approach reduce their test writing time by 60-80%, while improving the quality of their coverage. In this guide, you will find optimized prompts to generate professional unit tests, tailored to your level of expertise and tech stack.

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