Documentation.AI

Overview

Documentation.AI is a hosted platform for creating and publishing technical documentation, with AI-assisted writing and review workflows. It suits teams that want documentation work connected to their repositories and project tools, as well as individuals starting a project. Its strongest case is the combination of editable drafts, API references and reader-facing AI; credit pauses and project caps deserve attention before a team commits.

Key features

Teams can work in a visual web editor or in Markdown and MDX through Git repositories, with pull-request previews. The agent can draw context from GitHub, GitLab, Jira and Confluence, but its changes arrive as drafts or commits for team review rather than going straight to publication. That review step is a useful safeguard for technical content, though it still leaves teams responsible for approving changes.

OpenAPI files can produce API references with request and response examples and a live playground. Beyond hosted documentation sites, the platform supports PDF, Markdown/MDX and generated llms.txt. An in-docs assistant provides cited answers, and a Reader MCP server adds another route for AI access to documentation.

Built-in integrations include Google Analytics 4 and PostHog, plus Intercom and Crisp chat widgets. Access options range from public pages to password protection and private documentation using JWT or OAuth 2.0. SAML/OIDC single sign-on and SCIM are reserved for Enterprise, an important distinction for organizations with centralized identity requirements.

Documentation.AI describes encryption in transit and at rest, least-privilege controls, audit logging, routine backups and hashed passwords. Its privacy policy says workspace content and model inputs and outputs are not used to train AI models; prompts, context and outputs may be logged for up to 30 days.

Pricing

The free Starter plan costs $0/forever and includes 5 editor seats, 1 documentation project and 10,000 one-time AI credits. It is a meaningful starting point for an individual or early project, but the single project and non-renewing credit allowance make it a limited basis for ongoing AI-heavy work.

Standard costs $55/month, billed yearly, and includes 10 editor seats, 2 documentation projects and 10,000 AI credits/month. It is aimed at startups and small teams that need recurring credits and room for a second project. Pro costs $159/month, billed yearly, and raises those limits to unlimited editor seats, 4 projects and 30,000 AI credits/month; growing teams gain more collaboration and usage headroom, but still face a project cap.

Enterprise has custom pricing, unlimited editor seats, and custom project and AI-credit allowances. It is the tier for organizations needing tailored scale or SAML/OIDC and SCIM. For every plan, AI features pause when credits run out and resume with the next 30-day cycle or a deliberate top-up; the pricing page says there is no overage billing. Teams should account for that interruption rather than assume usage can continue beyond the allowance.

Platforms

Documentation.AI is available on web and through an API. Its hosted output avoids requiring teams to host the documentation site themselves, while Git-based authoring and repository sync suit teams that prefer documentation changes to fit repository workflows.

Who it's for

Choose Documentation.AI if technical writers and developers need shared editing, reviewable AI changes, API reference generation and reader-facing AI in one hosted workflow. Starter fits an individual or early project; Standard is sized for a small team; Pro makes more sense when seat and credit needs grow. Organizations that require SSO or SCIM need Enterprise. It is a weaker fit for teams that cannot tolerate AI pauses or need more than four projects without a custom Enterprise arrangement.

Pros and cons

• Pros: Agent edits remain reviewable drafts or commits, so teams retain a publication checkpoint.
• Pros: OpenAPI references include examples and a live playground, giving API documentation more than static endpoint descriptions.
• Pros: Public, password-protected and JWT/OAuth 2.0 access options cover several common documentation audiences.
• Cons: Starter's 10,000 AI credits are one-time, while paid tiers pause AI features at the credit limit until renewal or top-up.
• Cons: Standard and Pro cap documentation projects at 2 and 4 respectively; teams needing more must consider custom-priced Enterprise.
• Cons: SAML/OIDC SSO and SCIM are Enterprise-only, putting centralized access management beyond the lower plans.

Alternatives

For a broader category comparison, see AI Documentation Generators and Developer Documentation Software.

Docny is worth considering for a free project that needs a custom domain, GitHub sync, analytics and version history on its Hobby plan. AutomaDocs may suit a repository-centered workflow: its free plan covers one repository, 50 AI chat messages a month, core doc generation and auto-sync on push.

InkLoom is another free option, with unlimited pages and one free user per project; its Pro plan is listed at $49 a month. DocuWriter is a paid alternative with a free trial and a Starter plan at $20 a month for 50 credits a month.

ShipDocs is available for Linux and macOS as well as web, and its Advanced plan is listed at $29 a month. Hyperdocs is a web-based freemium alternative. GitBook offers a free plan for individuals with one free user, unlimited page views and 10 Agent messages a week. Komment is a web-based freemium alternative.

Verdict

Documentation.AI is a strong choice for small and growing technical teams that want AI-assisted documentation without surrendering editorial review, especially when API references and multiple publishing formats matter. Choose it for the integrated workflow and useful reader access; look elsewhere if credit interruptions, project limits or Enterprise-only identity controls conflict with how your team operates.