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Documentation.AI

Documentation and knowledge base platform with an AI agent that drafts updates from code, tickets and feedback for approval.

Documentation.AI is a platform for writing, publishing and maintaining product docs, API references, help centers and knowledge bases. Its Documentation Agent reads code changes, support tickets and reader feedback, then drafts edits that a person approves before anything goes live. Documentation.AI also gives readers an AI assistant with cited answers and exposes docs to AI tools through MCP and llms.txt.

Best for Software teams whose documentation falls behind the product and who want proposed updates generated automatically but reviewed by a human.

Documentation.AI website home page
Screenshot of documentation.ai, captured 9 Oct 2026
Platforms
Web, API, MCP
Pricing model
Freemium
Free plan
Yes
API
Yes
Made by
Documentation.AI
Added

Last verified: . Information taken from documentation.ai.

What is Documentation.AI?

Documentation.AI is a documentation platform designed to keep content current with less manual work. Authors can write in a block-based web editor with slash commands or follow a docs-as-code approach, keeping Markdown and MDX files in Git with branches, pull requests and preview builds; both routes publish the same site. Workflows start on a schedule or when a pull request merges. In each run the agent reviews commits, tickets and feedback, prepares draft changes and reports what it altered and why, leaving acceptance to the team. Published docs include an interactive API playground generated from OpenAPI specs, an Ask AI assistant that cites its sources, page-level feedback and analytics. Access can be restricted with SSO, JWT or OAuth. For machine readers, the platform generates llms.txt and provides MCP servers. Connectors cover GitHub, GitLab, Jira, Confluence, Slack, Linear and Intercom.

Key Features

Documentation Agent

Reads code changes, tickets and feedback in the background and drafts page updates with a summary of each run.

Two Authoring Modes

Supports a visual web editor and Git-synced Markdown or MDX, both feeding one published site.

Ask AI Assistant

Answers reader questions inside the docs with citations and a confidence score.

API Playground

Builds reference pages from an OpenAPI file and lets readers send test requests and copy code samples.

MCP Servers and llms.txt

Makes docs readable by external AI tools and lets writers author from Cursor or Claude Code.

Analytics and Feedback

Tracks page views, search terms and ratings, and flags questions the assistant answered with low confidence.

How Documentation.AI works

  1. Set a trigger

    Choose a workflow template, connect the repositories to watch and decide whether it runs when a pull request merges or at a fixed interval.

  2. Agent drafts in the background

    The agent goes through recent code, tickets and feedback and writes the proposed changes.

  3. Review and approve

    You receive a summary and changed files, then accept or reject them before publication.

Use Cases

API Reference Sites
Publish endpoint documentation that stays in step with the specification.
Help Centers
Run a customer-facing support site where readers can ask questions in natural language.
Internal Knowledge Bases
Keep private team documentation behind login with role-based permissions.
Changelog Generation
Produce release notes from merged work using a workflow template.
Migrating from Another Docs Tool
Move Markdown and MDX files and import OpenAPI specs from a previous platform.

Things to know

AI usage is metered
A reader's Ask AI question costs 10 credits, and one agent task costs between 5 and 320 depending on its size.
Credit rollover
Half of unused credits carry forward, capped at 1.5 times the monthly allowance; AI features pause when credits run out until the next cycle or a top-up.
Seats by plan
Starter includes 5 editor seats, Standard 10, and Pro has no seat limit.

FAQs

What is Documentation.AI?

Documentation.AI is an AI documentation and knowledge base platform for creating, publishing and maintaining product docs, API references and help centers.

Does Documentation.AI publish changes automatically?

No. The Documentation.AI agent only drafts updates; a team member has to approve and publish them.

Is Documentation.AI free?

Yes. Documentation.AI has a Starter plan listed at no cost with five editor seats and a one-time allowance of AI credits.

How much does Documentation.AI cost?

Documentation.AI offers Starter, Standard, Pro and Enterprise plans with monthly or yearly billing. See the official pricing page for current paid-plan amounts.

Does Documentation.AI have an API?

Yes. Documentation.AI lists a REST API among its resources and also provides MCP servers for reading and authoring docs.

Can I keep my docs in Git with Documentation.AI?

Yes. Documentation.AI supports Markdown and MDX with two-way Git sync, branches, pull requests and preview builds.

Which tools does Documentation.AI integrate with?

Documentation.AI lists connectors for GitHub, GitLab, Jira, Confluence, Slack, Linear and Intercom, plus webhooks.

Who it's for

  • Technical writers
  • Developers
  • Product managers
  • Support teams
  • Operations teams

Tagsdocumentationknowledge baseAPI docsdocs as codeMCPllms.txt

Used in these workflows

Each guide lists the stages of one job and the tools that help at each stage. All guides

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GuidejarRecords a process as you click through it and turns the capture into a step-by-step guide or interactive walkthrough.
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Listed in the same categories as Documentation.AI. A starting price appears only where we checked it on the maker’s pricing page; a dash means not checked or not published. All Notes & Knowledge Management tools