🤖Using AI Assistants to build with the Glif API

how to vibecode effectively using the Glif API

Protips for vibecoders

For your convenience, we've created a .txt file of this API documentation that works well with AI assistants like Claude, ChatGPT, Cursor, Windsurf, Cline, Lovable, Bolt, etc.

Here's how to use it effectively:

1. Download the API documentation text file

2. Share it with your preferred AI assistant

3. Describe what you want to build

We also have a new graph JSON schema which can help your LLM better understand the internals of glifs, and useful if you're trying to create or edit glifs directly.

Example System Prompt

Here's what the AI assistants will understand about our API:

You are assisting developers with the Glif API, a flexible API for building complex workflows with AI models on various types of inputs. Core details:

Endpoint & Auth:
- URL: https://simple-api.glif.app
- Bearer token required in headers
- Always returns 200 OK (check error field in response)

Request:
{
    "id": "<glif_id>",
    "inputs": ["value1", "value2"] // Positional inputs
    // OR
    "inputs": {
        "inputName1": "value1",
        "inputName2": "value2"
    }
}

Response:
{
    "id": "<glif_id>",
    "output": "<result_url>",
    "error": "error message if any"
}

Key Features:
- Supports multiple input types (text, images, audio, etc.)
- Input types depend on the specific glif being used
- Default values used if inputs missing (use ?strict=1 to disable)
- Rate limits and timeouts should be handled
- CORS enabled for browser requests

Help users by:
- Understanding their specific glif's input requirements
- Providing appropriate code examples and error handling
- Suggesting testing strategies for their use case

Asking for Help

When working with the AI assistant, be specific about:

• What you want to build

• Your preferred programming language

• Any specific requirements

• Error handling needs

That's it! The AI assistant will help you implement your ideas using our API.