Free AI Prompt Library - ChatGPT, Claude, Gemini

Prompt DALL-E to Create a Prototype

Creating visual prototypes is a crucial step in any product design process. Traditionally reserved for designers with specialized tools like Figma or Sketch, this phase can now be accelerated with DALL-E. By generating realistic visual mockups from text descriptions, DALL-E allows entrepreneurs, product managers, and developers to quickly materialize their ideas without advanced graphic skills. Whether you want to visualize a mobile app interface, a physical product, or an architectural concept, DALL-E transforms your descriptions into compelling visual representations. This approach considerably reduces the time between ideation and the first visual iteration, going from several days to a few minutes. The AI-generated prototype then serves as a basis for discussion with stakeholders, investors, or potential users, facilitating the collection of concrete feedback before investing in costly development. Mastering the art of prompting for prototype generation with DALL-E thus becomes a strategic skill for anyone wishing to innovate quickly and effectively.

GitHub Copilot Prompt for Creating Software Architecture

GitHub Copilot, the AI development assistant integrated into IDEs, is a valuable ally for designing robust software architectures. Rather than starting from a blank slate, you can use Copilot Chat to generate architecture proposals tailored to your technical context: pattern choices, module breakdown, interface definition, and data flows. The tool excels particularly when given clear constraints (tech stack, volume, team size) because it draws on millions of open-source projects to suggest proven structures. Whether you are designing a modular monolith, microservices architecture, or event-driven system, a well-structured prompt lets you obtain a complete architectural skeleton with diagrams, file trees, and technical justifications. This guide provides optimized prompts to turn Copilot into a true software architect, capable of producing actionable architecture documents for your development team.

Prompt ChatGPT to Create a REST API

Creating a REST API is a fundamental step in modern application development. Whether you're building a mobile app, a dashboard or a microservices system, a well-designed API is the backbone of your architecture. ChatGPT proves to be a valuable ally to accelerate this development phase: it can generate the complete structure of your API, define endpoints according to REST conventions, produce server code with error handling, and even create the associated OpenAPI documentation. By using a well-structured prompt, you get in seconds a functional API skeleton that follows best practices — route naming, appropriate HTTP codes, incoming data validation, and separation of concerns. Instead of starting from scratch, you iterate on a solid foundation that ChatGPT adapts to your tech stack (Node.js, Python, Go, PHP…) and your business domain. This guide offers optimized prompts to get the most out of ChatGPT in designing and implementing your REST APIs, from rapid prototyping to production-ready API.

Mistral Prompt for Creating E2E Tests

End-to-end (E2E) tests are essential to ensure the overall proper functioning of an application, but writing them is often time-consuming and repetitive. Mistral, the language model developed by Mistral AI, excels at generating structured code and can significantly speed up the creation of E2E tests. With its deep understanding of technical context and ability to produce idiomatic code, Mistral can generate complete test scenarios covering critical user journeys. Whether you use Playwright, Cypress, or Selenium, Mistral adapts to your chosen framework and produces maintainable tests following best practices. By providing a well-structured prompt describing your application, its key journeys, and your testing conventions, you get E2E test suites ready to be integrated into your CI/CD pipeline. This approach drastically reduces writing time while improving your applications' test coverage.

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.

Mistral Prompt for Creating a REST API

Mistral, the leading French AI model, excels at generating structured and performant backend code. Creating a complete REST API represents a technical challenge that involves defining routes, handling HTTP requests, validating data, connecting to a database, and setting up a maintainable architecture. With a well-crafted prompt, Mistral can generate the entire skeleton of a functional REST API in seconds, adhering to the conventions of the chosen framework and development best practices. Whether you're using Express.js, FastAPI, Flask, or Spring Boot, a precise prompt delivers production-ready code with error handling, authentication middleware, and integrated Swagger documentation. The prompt engineering approach transforms Mistral into a true backend development assistant, capable of producing coherent, tested, and documented code. This page guides you in formulating the optimal prompt based on your skill level and technical needs.

Gemini Prompt to Create a Prototype

Prototyping is a crucial step in any development process, whether it's a mobile app, a website, or a physical product. Gemini, Google's multimodal AI, stands out for its ability to understand complex briefs and generate functional prototypes with remarkable precision. Thanks to its native integration with the Google ecosystem and advanced code understanding, Gemini can transform a simple text description into an interactive prototype in minutes. Whether you're a designer looking to quickly validate a concept, a developer wanting to iterate on an interface, or an entrepreneur wanting to present a mockup to investors, Gemini significantly accelerates the prototyping phase. The AI particularly excels at generating web prototypes (HTML/CSS/JavaScript), detailed wireframes, and functional mockups. By formulating a structured prompt that clearly defines objectives, constraints, and target audience, you'll get a coherent and professional prototype, ready to be tested and iterated. Here are the optimized prompts to fully leverage Gemini's prototyping capabilities.

Mistral Prompt to Generate JavaScript Code

Mistral, the language model developed by the French startup Mistral AI, has quickly established itself as a powerful alternative for code generation. Thanks to its optimized architecture and training on vast code source corpora, Mistral particularly excels at producing clean, functional, and well-structured JavaScript code. Whether you are developing a web application, a Node.js script, or a front-end library, knowing how to formulate the right prompt is key to obtaining professional-quality code. A well-constructed prompt allows Mistral to precisely understand your technical need, execution context, performance constraints, and coding conventions to follow. In this guide, we offer optimized and tested prompts to get the most out of Mistral for your JavaScript projects. Each prompt is designed to produce maintainable, commented code that follows modern JavaScript development best practices, including error handling, modularity, and ES6+ compatibility.

Prompt Claude for Generating SQL Queries

Generating SQL queries is one of the tasks where Claude particularly excels. Whether you are a backend developer, data analyst, or database administrator, formulating complex queries can be time-consuming and error-prone. Claude understands the nuances of different SQL dialects (PostgreSQL, MySQL, SQLite, SQL Server, Oracle) and can transform a natural language description into an optimized and functional query. The AI can handle multiple joins, nested subqueries, advanced aggregation functions, CTEs (Common Table Expressions), and even window functions. By providing Claude with your database schema and a clear description of what you want to obtain, you receive a ready-to-use query along with explanations of the logic used. This significantly speeds up development, reduces bugs related to SQL syntax, and even allows less technical profiles to manipulate complex data with confidence. Claude can also optimize existing queries, detect performance issues, and suggest relevant indexes.

Stable Diffusion Prompt to Generate a Database Schema

Stable Diffusion, primarily known for artistic image generation, can also be used creatively to produce visual representations of database schemas. By crafting precise prompts, you can generate entity-relationship diagrams, conceptual models, or architectural visualizations of data structures. This approach is particularly useful during brainstorming, technical documentation, or when presenting to non-technical stakeholders. Instead of manually drawing your schemas or using conventional tools like dbdiagram.io, Stable Diffusion allows you to create aesthetically pleasing and professional visual representations of your data models. The resulting outputs can serve as illustrations for documentation, technical blog posts, or training materials. It is important to note that Stable Diffusion generates images and not directly usable SQL code. The goal is therefore to produce clear, readable visuals representing the tables, columns, primary keys, relationships, and cardinalities of your database. With the right settings and a well-structured prompt, you will obtain schemas that are both informative and visually attractive.

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.

DALL-E Prompt for Generating SQL Queries

DALL-E, the image generation model developed by OpenAI, might seem like an unexpected choice for working with SQL queries. Yet, it proves to be a powerful tool for creating visual representations of database schemas, relational diagrams, and SQL query flows. By visualizing your data structures as clear, educational images, you make it easier to understand table relationships, complex joins, and database architectures. Whether you're a trainer looking to illustrate a course, a developer wanting to visually document a database, or an analyst preparing a presentation, DALL-E lets you transform abstract SQL concepts into immediately understandable visual schemas. This visual approach perfectly complements traditional code generation tools by offering a graphical dimension that text alone cannot convey. Discover how to formulate your prompts to obtain professional database diagrams and exploitable visual representations of SQL queries.