AI Documentation Toolkits

Free Ebook
Getting Started in Technical Writing ebook cover

Getting Started in Technical Writing

For people exploring technical writing as a career or trying to get their first role.

A practical guide to breaking into technical writing: what the role actually involves, the tools you need to know, how to build a portfolio with no work experience, and how to land your first job.

Get the Ebook →
Free · For individual writers

The AI Docs Playbook

Practical AI workflows for technical writers who want a more consistent documentation process.

Five reusable workflows based on documentation work. They work with ChatGPT, Claude, Gemini, and other AI assistants.

What's inside

  • Set up an AI assistant with the right documentation context so it works based on your standards instead of making assumptions.
  • Turn support conversations into clear, actionable documentation tasks.
  • Draft documentation from screenshots while identifying details that still need to be verified.
  • Run a copy edit that checks your documentation against your style guide without rewriting your voice.
  • Create or restructure documentation pages using established documentation patterns.
Free · For senior writers & teams

The AI Documentation Pipeline

For technical writers and documentation leads working in git-based repositories who want consistent AI workflows across a team.

A three-layer system that brings AI into the documentation workflow, from planning and drafting to review and release. It lives in your repository so the process stays consistent as your team grows.

What's inside

  • Skills layer: reusable AI workflows for research, planning, drafting, reviewing, and publishing documentation.
  • Editor prompts: lightweight instructions for content reviews, terminology checks, and documentation audits.
  • CI automation: automated checks with Vale prose linting and AI-generated pull request summaries.
  • Project instruction file pattern: a way to give AI tools consistent repository-specific guidance.
  • Setup guides for Claude Code, Cursor, and Windsurf, plus guidance for adapting the workflow to your own stack.
Free · For multilingual teams

The AI Translation Pipeline

For teams maintaining documentation in multiple languages who want a more reliable translation workflow.

A structured system for translating documentation with change detection, glossary management, and human review built into the process. It helps teams automate repetitive translation work while keeping control over terminology and quality.

What's inside

  • Translation script with change detection: translates only the content that has changed since the last run.
  • CI workflow: creates translation updates in a separate branch and opens a pull request for human review.
  • Three-layer glossary system: manages terminology at the global, folder, and file levels.
  • Review guide: helps reviewers identify common AI translation issues and check for accuracy before publishing.

Requires: Git-based doc repository · GitHub Actions · Python 3.x · OpenAI API key (or any translation API)

Free · For docs teams & leads

The AI-Ready Documentation Framework

For documentation leads and teams preparing their docs for AI tools, including coding agents, copilots, and RAG systems.

A seven-phase framework for improving how AI tools discover, read, and use documentation. It covers benchmarking, machine-readable delivery, content structure, agent instruction files, AI-assisted workflows, maintenance, and measurement. Includes a real-world case study showing how one team improved their benchmark score from the high 50s to the mid-70s.

What's inside

  • The seven-phase framework: baseline benchmarking, machine-readable delivery, page structure improvements, agent instruction files, AI-assisted contribution workflows, maintenance, and measurement.
  • How to create and automate llms.txt and llms-full.txt, with setup guidance for Docusaurus, MkDocs, Sphinx, Read the Docs, and GitBook.
  • The reference-table pattern for converting configuration documentation from paragraphs into structured content that AI tools can extract more easily.
  • An AGENTS.md template with guidance on writing useful instructions and deciding what belongs in the file.
  • A companion case study showing how one team measured problems, prioritized fixes, and decided which changes were worth building.
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Ready to fix your documentation?

Whether you need a senior writer, a documentation strategy, or a consultant. Let's talk.