The concept of llms.txt, likened to a robots.txt for AI, has been critiqued as ineffective and overhyped, with tests showing it requires manual input into language models to function, rather than being spontaneously recognized or respected by them. Redocly experimented with llms.txt, finding it offered little value, as logs indicated negligible access or systematic use by AI models. The exploration led to a more practical development: a one-click feature to copy pages in Markdown for seamless integration with AI systems like ChatGPT, which proved more beneficial. In contrast, another project involving new MCP features demonstrated notable utility within AI workflows, highlighting the disparity between the limited impact of llms.txt and the promising potential of effective content integration tools. The narrative suggests that meaningful content governance in AI will depend on robust licensing, attribution, and legal standards, rather than underutilized text files.