How I Used My Own Blog to Research My Presentation About It
The author needed a fast way to collect 14 blog posts for a presentation without manually copy-pasting from the browser. Fortunately, the blog already exposed each post as clean markdown at /md/posts/[slug], originally built for AI tools. This endpoint strips away HTML, navigation, and cookie banners, returning only the core content, which the author then fed into Claude for rapid reading and summarisation. Before working with individual posts, the author used /llms.txt, a structured, machine-readable index of the site similar to robots.txt but designed for AI discovery. Claude used this index to understand the site’s structure and locate relevant posts. For the presentation itself, the author used Slidev, a markdown-based slide tool, allowing Claude to generate and refine slides directly in markdown. The experience highlighted a “meta” benefit: infrastructure built for AI and other developers ended up being most useful to the author, demonstrating that investing in AI-friendly content formats can pay off immediately for the site owner.
