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Methodology and process documentation for AI-assisted technical writing and review — a practical exploration of how AI can help without sacrificing rigor, accuracy, or editorial judgment.
Create and maintain technical documentation with multi-model or multi-agent editorial teams.
This repository contains a methodology, process documentation, and working scripts for AI-assisted technical writing and editorial review. It includes agent roles, skills, and Behavior-Driven Development (BDD) scenarios for researching, updating, verifying, aligning, and cross-referencing complex technical documents for different audiences and use cases.
“The tech writer isn’t being replaced by AI, but rather augmented by AI as a co-partner in developing documentation.”
Tom Johnson, Google — I’d Rather Be Writing
Agentic tools and processes to help humans write, review, and maintain technical documentation. Don’t sacrifice — increase — your rigor, accuracy, and editorial judgment.
| Document | Description |
|---|---|
| README | Overview of the methodology, agent roles, and how to use this repository. |
| AGENTS.md | Agent configuration, roles, and capabilities for the editorial review team. |
| Review Methodology | How multi-model editorial review works — rounds, synthesis, and audit trails. |
| Architecture | Technical architecture of the multi-model documentation review pipeline. |
| WordPress Docs Skills | Reusable agent skill configurations for WordPress documentation tasks. |
| BDD Scenarios | Behavior-driven test scenarios for researching, reviewing, and validating technical docs. |
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