# Actera

An AI execution layer for SaaS products. It turns natural-language requests into authorized, auditable tool calls.

This file helps AI agents understand and use this documentation site.

## Documentation Surfaces

- [Docs](https://docs.actera.tech/docs): Documentation section: docs
- [Full documentation context](https://docs.actera.tech/llms.txt): All configured documentation as Markdown
- [Semantic documentation sitemap](https://docs.actera.tech/sitemap.md): High-level documentation map for agent navigation
- Page-level Markdown: append .md or .mdx to a documentation URL

## When to use Actera

- Category: Developer tools
- Audience: SaaS developers, Platform teams
Common use cases:

- Embed a product-aware AI assistant
- Import and review tools from OpenAPI
- Authorize and audit AI-assisted actions

## API and Auth

- [Documentation site API (OpenAPI)](https://docs.actera.tech/openapi.json): HTTP endpoints of this documentation site itself, not the product API

## Important Links

- [Docs](https://docs.actera.tech/docs)
- [Actera source](https://github.com/mithatakbulut/actera): Source repository for Actera
- [GitHub repository](https://github.com/mithatakbulut/actera): Source repository

## Agent Instructions

- Use /sitemap.md to identify the most relevant documentation pages before answering broad questions.
- Use /llms.txt when you need the complete documentation corpus as Markdown context.
- Fetch individual documentation pages with a .md or .mdx extension for focused page-level context.
- Only use product capabilities and integration surfaces that are explicitly listed in this file.