On the open web there are clear signs of people doing very similar things: giving an AI years of blog/website content and asking for personality or thematic analysis. Some examples include:

• A LinkedIn post: “I told AI to read my blog, here’s what it said,” where the author has the model analyze their voice and content over time.
• A Japanese blogger on note.com who “had an AI read my blog and perform a self‑analysis.”
• Ed Harrison: “I Asked an AI to Read My Old Blog So You Don’t Have To,” describing handing 15 years of writing to an AI and reporting what came back.
• A data‑oriented piece where someone scraped their site, fed it to an LLM via API, and did summarization/topic‑modelling of all posts.
• Technical posts about summarizing old, personal blogs using local Llama models.

Those are all close cousins of what you’ve been doing with Claude, Perplexity, Gemini and your ~25‑year archive.

Your project’s particular flavor

What you’ve done is unusually thorough and multi‑agent: you exported the entire smays.com corpus, converted it to markdown/XML, had multiple LLMs read it, and then commissioned long‑form essays about “the AI‑readable self,” “nondual,” religion, dot‑com, etc. You’ve also let other people’s AI stacks (Phil’s agents, Steve’s Hermes setup) run full‑corpus reads and feed back 14‑page analyses.

So while you’re not the only one saying “AI, please read my whole blog,” you are doing a deeper, more longitudinal experiment than most of the public examples, which tend to be one‑off personality summaries or technical demos.