ReadMe AI

ReadMe AI is a suite of artificial intelligence features built into the ReadMe documentation platform. It is designed to help companies create, maintain, review, search, and improve technical and API documentation while also making that documentation more useful to developers and AI agents.

ReadMe has traditionally focused on developer documentation, API references, guides, recipes, changelogs, and developer portals. Its current AI capabilities extend this platform by adding AI-assisted writing, automated documentation updates, AI-powered answers, documentation linting, audits, and integrations designed for an increasingly AI-driven software development environment.

Rather than being a general-purpose AI writing assistant, ReadMe AI is tightly connected to a company’s documentation and API content. This allows its AI tools to work with documentation context and, where configured, connected code repositories and other knowledge sources.

AI Agent

The ReadMe AI Agent is an AI documentation assistant for creating, editing, researching, and improving documentation.

It can write and rewrite documentation, translate content, fix grammar, research information, analyze URLs, search existing documentation, and suggest or implement ReadMe components. It can also perform multi-step workflows and make changes across multiple documentation pages.

The Agent supports attachments, allowing users to provide files and images as additional context. Supported attachment types include PNG, JPG/JPEG, WebP, GIF, PDF, TXT, Markdown, CSV, JSON, JSONL, and HTML.

ReadMe’s current documentation states that the Agent can use multiple AI models, including Claude Opus 4.8, GPT-5.5, and Google Gemini 3.5 Flash, depending on the configured environment.

GitHub AI Writer

ReadMe AI includes GitHub AI Writer, which automatically proposes documentation updates when changes are made to a connected GitHub codebase.

The AI Writer can watch pull requests across repositories, analyze the changes, and draft corresponding documentation updates. Instead of immediately publishing those changes, ReadMe places them into a review branch so that the documentation team can inspect and approve them.

This approach helps reduce documentation drift, particularly when engineering teams release new features or modify existing API behavior.

Inline AI Editing

ReadMe provides Inline AI directly inside its documentation editor. Writers can select text and give the AI an instruction to rewrite, shorten, expand, or correct it.

Changes are presented as inline differences so users can review what the AI changed before accepting it. This provides a more controlled editing workflow than simply replacing an entire documentation page with AI-generated content.

AI Linter

The AI Linter checks documentation against configurable writing and style rules.

It can identify problems involving terminology, formatting, tone, grammar, and other documentation-quality requirements. The linter can also identify broken links and other objective issues.

ReadMe allows organizations to configure style guidance so documentation can maintain consistent language and editorial standards across different contributors and pages.

Docs Audit

Docs Audit provides a broader evaluation of documentation against a company’s configured style guide.

Instead of checking only the page currently being edited, documentation audits can evaluate documentation quality across a larger collection of pages. Enterprise functionality includes audit history and more advanced governance capabilities.

This is particularly useful for organizations with large documentation libraries where manually reviewing every page would be difficult.

Ask AI

Ask AI allows readers to ask questions about a company’s published documentation and receive AI-generated answers grounded in that documentation.

ReadMe emphasizes source-backed responses, with answers linking back to the documentation pages used to provide the information. This can help developers find answers without manually searching through numerous documentation pages.

Ask AI therefore serves a different audience from the AI Writer: the Writer and Agent help the documentation team create and maintain content, while Ask AI helps documentation users consume that content.

AI Change Summaries

ReadMe can generate AI-powered summaries of documentation changes. This can help teams understand what changed between documentation versions and make review workflows easier to follow.

Combined with ReadMe’s branching and review functionality, AI change summaries can provide additional context during documentation updates.

MCP Server

ReadMe’s AI strategy also includes Model Context Protocol (MCP) support.

ReadMe can provide an MCP server that allows compatible AI tools and agents to access documentation and API information in a structured way. This helps AI development environments retrieve relevant documentation rather than relying only on information contained in a model’s original training data.

The MCP capability is particularly useful for companies that want developers’ AI assistants to work with current API references and product documentation.

LLMs.txt and AI Discoverability

ReadMe provides AI-oriented documentation formats including LLMs.txt. These machine-readable resources are designed to make documentation easier for AI systems to discover and consume.

This extends ReadMe beyond conventional human-readable documentation. Companies can make their product information available to both developers browsing documentation and AI agents that need structured technical information.

API Documentation

ReadMe AI operates alongside ReadMe’s broader API documentation platform.

Teams can upload an OpenAPI specification or import one from a URL to generate an interactive API reference. ReadMe provides endpoint descriptions, request and response examples, authentication information, and an API explorer.

The platform also supports API documentation workflows around OpenAPI and other API technologies. This makes ReadMe AI particularly relevant to API-first companies and developer-platform businesses.

Documentation Automation

ReadMe combines its AI tools with automated documentation workflows. Engineering changes can trigger documentation updates, allowing teams to keep guides and API documentation aligned with software changes.

This is especially valuable for organizations where documentation changes frequently as APIs, SDKs, features, and configuration options evolve.

Enterprise AI Controls

ReadMe provides enterprise-oriented controls for organizations that need greater control over AI behavior and documentation data.

Enterprise capabilities include private AI context, global lint rules, documentation audits, audit logs, access controls, and enterprise security features.

ReadMe states that its AI providers do not use customer data for model training and that AI features send data to AI providers only when the corresponding feature is actively used.

Customization

ReadMe AI allows teams to control aspects of AI behavior, including the model, tone, and knowledge used by the system.

Organizations can restrict the AI’s knowledge to particular documentation or endpoints and configure forbidden words and phrases. This can help companies maintain brand terminology and prevent certain language from appearing in AI-generated documentation or responses.

Pricing

ReadMe AI is offered as part of the broader ReadMe documentation platform, with some AI capabilities included in the platform plans and others available as add-ons.

Starter — $0/month

The Starter plan is free and includes:

• Custom domain
• Bi-directional synchronization
• Interactive API reference
• Usage metrics
• Markdown editor
• Customizable themes
• AI Dropdown
• LLMs.txt
• MCP Server

Ask AI is available as a separate $150/month add-on.

Pro — $250/month

The current pricing page lists Pro at $250/month when billed annually.

Pro includes Starter features plus:

• Teammates
• Multiplayer editing
• Branching and reviews
• Notifications
• Private documentation
• Landing pages
• Changelogs
• Recipes
• Discussion forums
• Custom MDX components
• Reusable content
• Custom CSS and HTML
• Ask AI Lite
• Agent Owlbert
• AI Linter
• GitHub AI Writer

Ask AI is also available as a $150/month add-on.

ReadMe’s documentation also states that the Pro plan has a 14-day free trial.

Enterprise — Custom Pricing

Enterprise uses custom pricing and is designed for larger organizations.

Enterprise AI capabilities include:

• Docs Audit
• Private AI Context
• Global Lint Rules
• Full documentation audits with history
• Ask AI API access

Enterprise also adds capabilities such as SSO, OAuth, role-based access control, audit logs, dedicated support, custom SLAs, and implementation services.

Review

ReadMe AI is a strong choice for organizations that want AI assistance directly inside a professional documentation platform rather than using a standalone AI writing application.

Its biggest advantage is the connection between AI and documentation infrastructure. The AI Agent can research existing documentation, edit multiple pages, work with files, and help maintain content. GitHub AI Writer goes further by connecting software changes to documentation updates, which can reduce the amount of manual work required to keep technical documentation current.

The AI Linter and Docs Audit features are also valuable for larger documentation teams. They provide a way to enforce editorial standards while scaling documentation across multiple contributors.

ReadMe’s AI capabilities are particularly compelling for API-first companies. Interactive API references, OpenAPI support, MCP, LLMs.txt, AI-powered answers, and developer analytics create a broader ecosystem around technical documentation.

Another strength is the source-backed approach to AI answers. Ask AI is designed to ground responses in published documentation and provide links back to the underlying sources, which can make answers more useful and easier for developers to verify.

The main drawback is pricing. While ReadMe has a free Starter plan, the Pro plan is considerably more expensive than many standalone AI writing tools. Companies interested primarily in basic AI writing may therefore find the full ReadMe platform more extensive than they need.

AI usage also requires appropriate governance. Although ReadMe provides enterprise controls and states that customer data is not used to train AI models, organizations should still review which AI features they activate and what information is sent to external model providers.

ReadMe AI is best suited to API companies, software companies, developer-tool businesses, SaaS providers, technical documentation teams, and enterprises that need AI-assisted documentation creation, maintenance, governance, and developer support.