AI tools can assist in creating technical documentation, particularly for structured tasks like API references and how-to guides, but they struggle with context, nuance, and audience-specific needs, making human oversight essential for maintaining accuracy and relevance. While AI can efficiently generate outlines or rough drafts, it often lacks the ability to fully grasp the deeper intent behind complex documentation, which can lead to errors or oversights in the final content. The Diataxis framework categorizes documentation into tutorials, how-to guides, explanations, and references, with AI proving most effective in reference materials due to its ability to handle structured data. The integration of AI with human expertise, particularly through methods like Mintlify’s Model Context Protocol (MCP), allows for a balanced approach that leverages AI's efficiency while ensuring human review for clarity and precision. This hybrid method capitalizes on AI's strengths in repetitive and boilerplate tasks, freeing up human writers to focus on strategic editing and refinement.