Free AI Prompt Library - ChatGPT, Claude, Gemini

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.

Perplexity Prompt to Generate a Database Schema

Perplexity stands out from other AI tools by its ability to combine real-time web search with structured content generation. For designing database schemas, this dual capability is particularly valuable: Perplexity can analyze current best practices in modeling, draw inspiration from existing schemas in open source projects, and produce a result that respects modern conventions of your target DBMS. Unlike a classic LLM that relies solely on its training data, Perplexity can verify specific data types for PostgreSQL 16, MySQL 8, or SQLite, and ensure the generated syntax is up-to-date. Whether you are starting a project from scratch or refactoring an existing database, a well-structured prompt will allow you to obtain a complete schema with tables, relationships, indexes, and constraints, ready to execute. The approach involves precisely describing your business domain, entities, and management rules so that Perplexity produces a normalized, performant, and maintainable schema.

GitHub Copilot Prompt to Create a Chatbot

GitHub Copilot has become an essential assistant for developers looking to accelerate the creation of conversational applications. Creating a chatbot involves many technical steps: system architecture, conversation flow management, integration of natural language processing APIs, and implementation of a responsive user interface. With a well-structured prompt, GitHub Copilot can generate the essential code, from the backend for message management to the logic for routing user intents. The challenge is to formulate a request precise enough for Copilot to understand the type of chatbot envisioned (customer support, automated FAQ, virtual assistant), the chosen tech stack, and expected features. An effective prompt allows you to go from idea to functional prototype in a fraction of the usual time, while producing maintainable and extensible code. In this guide, you will find an optimized main prompt as well as variants adapted to your expertise level, to fully leverage GitHub Copilot's potential in creating your chatbot.

DALL-E Prompt for Creating E2E Tests

DALL-E, OpenAI's image generation model, can play a surprising yet effective role in creating end-to-end (E2E) tests. While DALL-E doesn't directly generate test code, it excels at producing visual mockups, wireframes, and simulated screenshots that serve as visual references for your test scenarios. By generating faithful representations of expected interface states—login pages, dashboards, filled forms, error messages—you create precise visual documentation that guides the writing of your Cypress, Playwright, or Selenium tests. This visual approach allows QA teams to validate user journeys even before development is complete, identify visual edge cases, and clearly communicate acceptance criteria. The generated images become reference artifacts in your CI/CD pipeline, facilitating visual regression testing. Whether you are working on a complex web application or a mobile interface, using DALL-E to materialize the expected states of your application transforms your testing process by making it more visual, collaborative, and rigorous.

DALL-E Prompt to Generate Python Code

DALL-E, OpenAI's image generation model, offers a unique visual approach to representing Python code as images. Although DALL-E is not a programming tool per se, it excels at creating visuals depicting code snippets, software architecture diagrams, infographics explaining Python concepts, or stylized screenshots of development environments. This capability proves particularly useful for educational content creators, programming instructors, tutorial authors, and developers looking to illustrate their blog posts or presentations. By crafting precise prompts describing the desired type of Python code, the visual style, the simulated development environment, and the expected level of detail, you can obtain realistic and aesthetic code images. Whether for a Python snippet displayed in a dark terminal, a visually generated UML diagram, or an infographic illustrating an algorithm, DALL-E transforms your textual descriptions into striking visual representations that capture attention and facilitate the understanding of programming concepts.

Midjourney Prompt to Create a Prototype

Creating prototypes is a crucial step in any design process, whether for product design, digital interfaces, or physical objects. Traditionally, this phase requires skills in 3D modeling, industrial design, or model making—technical skills that can significantly slow down creative teams. Midjourney upends this approach by enabling the generation of photorealistic prototype visuals in just a few seconds. With well-crafted prompts, you can explore dozens of creative directions, test different materials, shapes, and finishes, and present compelling concepts to clients or investors without using CAD software. Whether you're a product designer looking to quickly validate an idea, an entrepreneur preparing a pitch deck, or a UX team wanting to visualize an interface concept on a physical device, Midjourney offers an unprecedented visual experimentation playground. The main challenge lies in prompt formulation: you need to guide the AI toward a render that resembles a real industrial prototype, with the right materials, appropriate studio lighting, and the level of detail expected by professionals.

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.

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.

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.

Sora Prompt for Debugging Code

Sora, OpenAI's video generation model, may seem like a surprising choice for debugging code. Yet its ability to produce dynamic visualizations opens up unique perspectives for understanding and resolving complex bugs. By generating visual representations of execution flow, data structures, or interactions between components, Sora allows developers to literally see their code's behavior. This visual approach is particularly effective for bugs related to user interfaces, animations, state transitions, or rendering issues. Instead of sifting through endless logs, you can ask Sora to create a video illustrating expected versus observed behavior, making problem identification easier. The prompts on this page guide you in using Sora for debugging, turning textual bug descriptions into clear visualizations that accelerate resolution. Whether you're working on front-end, visual algorithms, or complex data flows, these techniques help you adopt a visual debugging approach.