Free AI Prompt Library - ChatGPT, Claude, Gemini

Claude Prompt to Create a Chatbot

Creating a high-performance chatbot with Claude is a major opportunity to automate your customer interactions, technical support, or internal processes. Thanks to its advanced natural language understanding capabilities, Claude excels at designing chatbots that can maintain contextual conversations, handle complex scenarios, and adapt to your brand's tone. Whether you want to deploy an assistant on your website, integrate a bot into Slack or WhatsApp, or create a specialized conversational agent for your business domain, a well-structured prompt is key to a truly useful chatbot. The challenge is not just generating responses, but defining coherent behavior: handling edge cases, escalating to a human when necessary, adhering to a precise knowledge scope, and maintaining an appropriate tone. The prompts presented here guide you to design a professional chatbot with Claude, from quick prototype to robust production system, covering personality, business rules, context management, and essential safeguards.

Sora Prompt to Create a Chatbot

Sora, the video generation model developed by OpenAI, opens fascinating possibilities for creating visual content related to chatbots. Although Sora is primarily an AI video generation tool, it can play a key role in chatbot design by producing demonstration videos, animated tutorials, and realistic video avatars that enrich the conversational experience. By combining Sora with chatbot development platforms, you can create conversational agents with an immersive visual dimension: an animated avatar that responds to users, personalized video sequences generated in real time, or illustrated interactive guides. The approach involves using Sora to produce the visual elements that accompany and humanize your chatbot, transforming a simple textual interface into an engaging multimodal experience. Whether you are developing a customer assistant, an educational chatbot, or a virtual companion, well-crafted Sora prompts will allow you to generate coherent and professional video content that brings your chatbot to life and significantly improves user engagement.

Midjourney Prompt to Generate a Database Schema

Midjourney, primarily known for creating artistic images, can also be creatively repurposed to generate visual representations of database schemas. By crafting precise prompts, you can obtain elegant entity-relationship diagrams, conceptual data models, or stylized relational schemas that serve as inspiration for your projects. Whether you are a data architect seeking to quickly visualize a structure, a developer wanting to present a data model in an attractive way, or a student needing illustrations for a report, Midjourney offers a unique approach. The tool particularly excels in producing aesthetic schemas for presentations, technical documentation, or educational materials. Although the result does not replace a professional modeling tool like dbdiagram.io or MySQL Workbench, it produces impressive visuals that effectively communicate your data architecture. In this guide, we provide optimized prompts to obtain clear, professional, and visually striking database schemas directly from Midjourney.

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.

Sora Prompt for Creating a Prototype

Sora, OpenAI's video generation model, opens up unprecedented possibilities for rapid prototyping. Rather than spending hours on static mockups or complex animations, you can now visualize a product concept, user interface, or customer journey in minutes with a well-structured prompt. Creating a prototype with Sora allows you to test ideas visually before investing in development, communicate a vision to a team or investors, and iterate quickly on concepts. Whether you are a UX designer, product manager, or entrepreneur, the ability to transform a textual description into a realistic video demonstration fundamentally changes the ideation phase. The main challenge lies in crafting the prompt: a too vague prompt will produce a generic video, while a structured prompt with precise details on the interface, interactions, and usage context will generate a convincing and usable prototype. This guide provides optimized prompts to obtain professional-grade video prototypes with Sora.

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.

Gemini Prompt to Generate JavaScript Code

Gemini, the artificial intelligence model developed by Google, stands out as a formidable tool for generating JavaScript code. Thanks to its deep understanding of programming languages and their ecosystems, Gemini can produce functional, optimized, and well-structured code in just a few seconds. Whether you need to create a utility function, an interactive component, a REST API, or a complex algorithm, a well-crafted prompt makes all the difference between an approximate result and production-ready code. The main challenge lies in the precision of your request: the more you specify the technical context (framework used, JavaScript version, naming conventions, expected error handling), the more Gemini generates relevant and directly usable code. This guide offers an optimized main prompt as well as variants tailored to your expertise level, to get the most out of Gemini in your daily JavaScript development projects.

Perplexity Prompt for Generating Unit Tests

Perplexity stands out from other AI tools by combining real-time web search with code generation. For creating unit tests, this advantage is significant: Perplexity can identify current best practices in testing, conventions of frameworks like Jest, Pytest or JUnit, and apply them directly to your code. Unlike a classic LLM that relies solely on its training data, Perplexity checks the APIs and function signatures of the most recent test libraries, reducing errors from outdated versions. Whether you are testing a simple utility function, a service with external dependencies, or a React component with user interactions, a well-structured prompt yields tests covering nominal cases, edge cases, and error scenarios. This page provides you with optimized prompts to fully leverage Perplexity in your testing workflow, from the beginner developer discovering tests to the technical lead seeking exhaustive coverage with mocks and stubs.

ChatGPT Prompt for Generating JavaScript Code

ChatGPT has become an essential tool for JavaScript developers, whether beginners or experienced. Thanks to its ability to understand natural language instructions, it can generate functional JavaScript code in seconds: utility functions, DOM manipulation, API calls, complex algorithms, or interactive components. But the quality of the generated code depends directly on the precision of the prompt used. A vague prompt will yield a generic result, while a structured prompt — specifying context, technical constraints, expected code style, and edge cases to handle — will produce clean, maintainable code ready to integrate into your project. In this guide, you will find a main prompt optimized for generating JavaScript code with ChatGPT, as well as three variants adapted to your level. Whether you want to quickly prototype a feature, learn new ES6+ syntax, or produce production-ready code with error handling and JSDoc typing, these prompts will save you considerable time while helping you improve.

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.

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.

Midjourney Prompt to Generate Python Code

Midjourney is primarily an AI image generation tool, not a code generator per se. However, it can be used creatively to produce visuals representing Python code: stylized screenshots, snippet illustrations for presentations, tutorial thumbnails, or educational visuals showing code excerpts. By crafting precise prompts, you can get photorealistic renders of screens displaying Python code in an IDE, artistic representations of data structures, or infographics illustrating programming concepts. This approach is especially useful for tech content creators, trainers, and designers who need impactful code-related visuals without relying on real screenshots. The main challenge lies in the prompt formulation: Midjourney does not understand Python syntax, it generates a visual approximation. You therefore need to guide the AI with precise descriptions of the development environment, the desired visual style, and the context in which the code appears. Here are the best prompts to obtain convincing results.