LLMentary, My Dear Claude: Prompt Engineering an LLM to Perform Word-to-Markdown Conversion for Templated Content

This article describes SpecterOps’ experiments using an LLM to convert and proofread security assessment findings from Word to Markdown, showing that the tool can accelerate formatting, fix common errors, and even assist with pre-classification, but still introduces style and code-block inconsistencies that require human QA. After supplying the internal style guide, output quality improved markedly, though edge cases persisted, and the author stresses verifying results and adhering to strict client data security policies.