In the ever-evolving world of technology, the process of crafting precise and comprehensive technical documentation has long been a challenge. As storage solutions and other tech ecosystems grow increasingly complex, traditional methods of documenting these intricate systems are becoming unsustainable, consuming both time and human resources. Enter Generative AI (GenAI), a revolutionary force poised to redefine the way technical content is written. AI-Cowriter Solution explores an innovative approach to technical writing, leveraging the power of large language models (LLMs) to streamline and enhance the creation of technical documents. But rather than attempting to generate long-form content in one go—an approach that often leads to a loss of coherence and AI hallucinations—this method focuses on breaking down the task into manageable, question-driven phases. By first building a structured research knowledge base and then employing Retrieval-Augmented Generation (RAG) to answer well-formed, specific queries, we can guide AI to generate content that is grounded, relevant, and free from common AI pitfalls. Refining this process is the human-in-the-loop approach, where expert insight helps guide AI through iterative passes, ensuring both accuracy and industry relevance. The session will provide a glimpse into how this methodology mimics the human writing process, from pre-writing and research to drafting and revision. With real-world applications in the storage industry and beyond, this approach promises to minimize the manual effort required in documentation while enhancing the overall quality and consistency. Join us to discover how asking the right questions and harnessing the right AI tools can unlock a new era of efficiency and precision in technical content creation.