Live AI
Spec2Run
Type your API into existence.
What it is
Describe an API in plain English and get a live, deployed microservice. Prompt Studio on the left, live Swagger, generated code, diffs, and logs on the right.
The problem
Turning an idea into a running API means days of scaffolding: schemas, boilerplate, validation, deployment. Most of it is mechanical.
How it works
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Type what the API should do in plain English.
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An LLM drafts an OpenAPI 3.0 spec through function calling, then a validator checks it.
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A template and LLM hybrid generates a FastAPI and SQLAlchemy service.
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The service runs in a live sandbox with Swagger, code, diff, and log views. Download the ZIP or push to GitHub.
Features
- Prompt Studio
- Typed prompts with auth, database, and language options, plus example prompts.
- Four live tabs
- Swagger UI, Monaco code view, diff view, and live logs for every generated service.
- Spec versioning
- Patch an existing spec and keep history, like git for APIs.
Stack
- Next.js
- FastAPI
- Groq
- Neon Postgres
- Render
- Vercel