Docs for AI agents

Rightbrain publishes documentation in formats built for AI consumption. Point a coding assistant or an autonomous agent at these endpoints and it gains accurate, current knowledge of the platform and of your specific tasks, without you pasting context by hand.

Documentation endpoints

Use with coding assistants

Add the index to your assistant’s project context so it follows Rightbrain’s real patterns instead of guessing.

# In .cursorrules or project instructions:
Reference the Rightbrain documentation index at
https://docs.rightbrain.ai/llms.txt
Follow the patterns and API shapes from the official docs
when helping with Rightbrain integration.

Use with autonomous agents

An agent can fetch the index at runtime and use it as context:

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import requests
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docs = requests.get("https://docs.rightbrain.ai/llms.txt").text
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agent.add_context("rightbrain_docs", docs)

Per-task documentation

To teach an agent how to call one specific task, fetch that task’s Markdown docs. Replace {project_key} and {task_id} with your values:

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import requests
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url = "https://app.rightbrain.ai/api/v1/public/{project_key}/llms/task/{task_id}"
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task_docs = requests.get(url).text

The response describes the task’s inputs, output schema, and how to invoke it, formatted for an LLM to act on directly.

Next steps