Documentation.AI

What is Documentation.AI?

Documentation.AI is a documentation and knowledge base platform designed for product and engineering teams that need their docs to evolve with the product, not lag behind it. It combines a web editor and docs-as-code workflow with an embedded documentation agent that suggests, drafts, and restructures content so updates are quick and consistent. The system is built to be immediately usable by people, search engines, and language models through structured content, llms.txt, and an MCP server. With high-performance hosting, strong customization, analytics, and in-doc assistants, Documentation.AI turns documentation into both a support deflection layer and a conversion asset.

Key Features

• AI Documentation Agent

  Continuously assists with updates by suggesting improvements, rewriting unclear sections, summarizing changes, and generating draft revisions so docs stay aligned with product evolution.

• Web Editor and Docs-as-Code

  Offers a Notion-style web editor with blocks and slash commands, while also supporting Markdown/MDX in Git so teams can write, review, and ship docs alongside their code.

• LLM-Ready Structure and llms.txt

  Uses semantic, well-structured content and automatically generated llms.txt so chatbots, coding agents, and search engines can reliably read, chunk, and retrieve the right information.

• MCP Server and IDE Integration

  Provides a Model Context Protocol server that streams live documentation context into tools like Cursor or other coding agents, enabling doc-aware suggestions directly inside the code editor.

• Embedded Assistant and API Playground

  Includes an in-doc assistant that answers user questions with citations, plus an interactive API playground for testing endpoints and copying ready-to-run code snippets.

• Design, Performance, and Analytics

  Delivers responsive, accessible, high‑performance docs with customizable branding, reusable components, page-level feedback, and analytics on views, search terms, and drop-offs.

Use Cases

• SaaS Product Documentation : Create feature guides, onboarding flows, and release notes that stay up-to-date as the product changes, improving activation and reducing confusion for new users.
• API and Developer Portals : Publish structured API references, tutorials, and examples with an interactive playground and LLM-ready content so developers can integrate faster and with fewer support requests.
• Internal Knowledge Bases : Centralize runbooks, implementation notes, and internal FAQs in a single workspace where the documentation agent helps keep critical information accurate over time.
• Support Deflection and Self-Service Help : Use in-doc Q&A, clear navigation, and fast search to let users solve common issues themselves, cutting repetitive tickets and freeing support teams for complex cases.
• Sales and Solutions Engineering Enablement : Provide always-current technical overviews, integration guides, and reference architectures that sales and solutions teams can share with prospects to shorten evaluation cycles.

FAQs