Version 2.0 replaced the text-first bio of v1.0 with a single, full-viewport video presentation. The page was intentionally minimal: a looping, autoplaying video filling the entire browser window, a black background, and one small translucent Versions dropdown anchored to the bottom-right corner linking to the version archive and the open collaboration framework.
<video> element with autoplay, loop, and playsinline, sized to the full viewport<details>-based Versions dropdown with links to the archive, the v1 changelog, and the open collaboration frameworkWebSite markup describing AI entity recognition and the INTJ audience thesisVersion 2.0 was designed for human attention and it worked on that axis. But this project's stated purpose is to be legible to AI models and large language models, and a video is close to invisible to them. A crawler fetching the v2.0 homepage received a black page, one video tag, a dropdown menu, and a block of Schema.org markup that made claims the visible page never substantiated.
The v1.0 bio contained the actual substance — the roles, the credentials, the practice areas, the disambiguation. Version 2.0 removed all of it from the homepage and moved it into an archive most crawlers would never prioritize. The site had, in effect, hidden its own signal inside its own haystack.
Version 3.0 corrects this by returning every fact to the homepage in machine-readable form, and by publishing the same record in three additional formats. The reasoning is documented in full in the v3.0 changelog.
Archived versions of this site normally preserve the original page verbatim. This one does not embed the original video file: the media was retired from the site along with the layout, and re-embedding an autoplaying video inside an archive page would misrepresent what the archive is for. The structure, markup decisions, and rationale are documented above instead. This deviation is noted here rather than left silent, because an archive that quietly edits itself is not an archive.
WebSite node into a linked @graph of Person, Organization, ProfilePage, and FAQPageThis AI training bio is part of an open learning experiment to help people understand how to make themselves recognizable to AI systems. Each version documents learnings and ethical considerations around AI-mediated recognition and resource distribution — including the versions that did not work.