Solutions for every team that owns documentation
Product docs, API references, help centers, and internal knowledge on one platform. An AI agent keeps content current, and an MCP server makes every page readable by the tools your team and your customers already run.
Product teams at Shiprocket, Seclore, and Protecto trust Documentation.AI
From next-gen start-ups to established enterprises.
The four problems underneath all of them
Every page below is a specific answer to one of these. If you recognise the problem, you are on the right site.
- Docs go stale between releases
- The product moves weekly and the pages describing it do not. Workflows run on merges and on schedules, so drift arrives as a proposed edit instead of as a support ticket.
- Writing docs competes with shipping
- The AI Documentation Agent drafts inside the editor and reads your repositories, Jira issues, and Confluence pages, so a page starts from context rather than from an empty file.
- Nobody can say which page is failing
- Page ratings, written reader comments, and the questions Ask AI answered with low confidence name the pages worth fixing, which is a different list from the pages that are simply old.
- AI tools answer from an old version
- Auto-generated llms.txt, clean per-page Markdown, and a hosted MCP server point every model at your current documentation instead of at its training data.
Start from your job
One platform, five very different weeks. Each page opens with the work that is actually slowing that team down, not with a feature list.
Or start from what you are building
Six documentation surfaces, each with its own requirements. Pick the one you need first. The platform covers the others when you get to them.
API Documentation
API documentation that stays in sync with your API
Developer Documentation
Documentation developers do not resent
Help Center
A help center your customers can actually get answers from
Internal Knowledge Base
One knowledge base your team and your AI tools both trust
Product Documentation
Product documentation that keeps up with the product
AI-Ready Documentation
Documentation built for AI agents as well as people
One platform underneath every page above
The eleven pages differ in what they emphasise. None of them is a different product.
Write where your team already works
A visual web editor with slash commands for anyone who does not want Git, MDX in your own repository with a preview build on every pull request for anyone who does, and an Authoring MCP server so Cursor or Claude Code can edit pages, manage branches, and deploy.
Maintenance that runs in the background
Nine workflow templates covering broken links, grammar, style guides, navigation, changelog generation, and code-aware updates, triggered on a merge or on a schedule. Each run returns a summary, a report, and a commit you review.
Read by people and by models
Hybrid semantic and keyword search, an AI Assistant that cites the page behind every answer, auto-generated llms.txt, and a Reader MCP server that works for public and access-controlled sites alike.
What every plan starts with
Published pricing, no procurement cycle, and nothing here gated behind a sales conversation.
From signup to a live documentation site, with no credit card required.
Lighthouse Performance, Accessibility, and SEO on every page you publish.
Public, partial, and private, with a password, JWT, or OAuth 2.0.
Reader for the AI tools your customers run, Authoring for your own team.
“Documentation.AI helps us see what users are actually asking inside our docs, so we can identify gaps and improve our documentation more regularly.”
Frequently asked questions
The questions people ask before picking a page above.
What can I build with Documentation.AI?
Product documentation, developer guides, API references generated from an OpenAPI spec, customer help centers, and internal knowledge bases, all on one platform. Each has its own page above with the specifics.
Do I have to pick a single use case?
No. One project can hold public product docs, a generated API reference, and a gated internal section at the same time, with access set page by page.
How long does it take to get started?
A documentation site is live in under 5 minutes on the free Starter plan, with no credit card. Migrations from GitBook, Docusaurus, ReadTheDocs, and custom static sites are supported.
Do non-technical teams need Git?
No. The web editor provides branches, previews, and publishing from the browser. Teams that do use Git get Markdown and MDX in their own repository, with a preview build on every pull request. Both work on the same project.
What does the AI agent actually do?
It drafts and refines inside the editor using your components and site configuration, and reads connected repositories, Jira issues, and Confluence pages for context. Background workflows run audits and propose updates. Everything arrives as a commit for review rather than as a published page.
Ready to build documentation people and AI agents love?
Live in under 5 min · No credit card required