Prompt Sora for Creating a REST API

Sora, the artificial intelligence model developed by OpenAI, is primarily known for video generation, but its potential extends far beyond. In the context of software development, Sora can be used as an assistant to conceptualize, plan, and structure the creation of a complete REST API. By formulating a precise prompt, you can obtain a detailed architecture, well-defined endpoints, consistent data schemas, and security best practices. The prompt engineering approach turns an abstract idea into an exploitable technical specification in seconds. Whether you are a backend developer looking to speed up the design phase or a project manager wanting to produce preliminary technical documentation, mastering prompts for REST API creation will save you considerable time. This guide provides an optimized main prompt, variants tailored to your expertise level, and practical tips to get the most out of AI in your API development workflow.

The prompt

Sora

Design a complete REST API for a [DOMAIN] management application. Define the following architecture: 1) List all endpoints with their HTTP methods (GET, POST, PUT, DELETE), URL paths following RESTful conventions, and appropriate HTTP response codes. 2) Detail data schemas for each resource in JSON Schema format, including types, validations, and relationships between entities. 3) Specify JWT authentication with registration, login, and token refresh flows. 4) Include pagination, filtering, and sorting for list endpoints. 5) Provide error handling with a standardized response format including error code, message, and details. 6) Add necessary CORS headers and recommended rate limits. Provide curl request and response examples for each endpoint.

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Why it works

This prompt is effective because it structures the request into six distinct technical components, forcing the model to cover all aspects of a professional REST API. The use of precise technical terms (JWT, JSON Schema, CORS, rate limits) anchors the response in industry standards. The request for concrete curl examples ensures a directly usable result rather than a theoretical answer.

Expected result

You will obtain a complete REST API specification including a structured list of endpoints, detailed data schemas, and ready-to-test request/response examples. The result will serve as reference technical documentation to implement the API in the language of your choice, with all security and performance best practices integrated.

Variants by level

FAQ

What are the benefits of using an AI prompt to design a REST API?

Using an AI prompt to design a REST API significantly accelerates the technical specification phase. In seconds, you get a consistent architecture including endpoints, data schemas, and security best practices. This allows you to identify design inconsistencies before writing a single line of code, and produce reference documentation that the whole team can consult. The AI acts as a software architect synthesizing industry standards for your specific use case.

How to adapt the prompt if my API requires real-time features?

To integrate real-time features, add details about WebSockets or Server-Sent Events (SSE) to your prompt. For example, add: 'Include WebSocket endpoints for real-time notifications, with subscription and unsubscription events, the format of exchanged messages, and the client-side reconnection strategy.' Also specify if you need specific communication channels or event filtering by user.

Is the generated prompt directly usable to implement the API in any language?

The prompt produces a language-agnostic technical specification, making it applicable to any backend framework (Express.js, FastAPI, Spring Boot, Laravel, etc.). To get directly implementable code, you can follow up with a second prompt specifying your tech stack: 'Implement this API in Python with FastAPI, SQLAlchemy, and PostgreSQL.' The generated specification then serves as a precise set of requirements for the development phase.

How to use this prompt

Copy the prompt with the button above.
Paste it into ChatGPT, Claude or your favorite AI assistant.
Replace the bracketed variables with your details, then refine the result.

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