
project / code
Generational Report
Generational Report is my attempt to turn a large AI-assisted corpus into a real reading interface instead of leaving it as a pile of generated text. The site lets people browse 2,027 birth-year profiles from year 0 through 2026, with each year treated as a small historical lens on the world someone entered.
The creative question was different from my video work but related underneath: what happens when generative AI becomes an archive, not a post? I wanted the experience to feel quiet, careful, and durable, with direct year lookup, shareable deep links, context data, and a restrained reader that makes the corpus feel browsable rather than disposable.
Built with a minimal color system and plain HTML/CSS/JavaScript, the experience reads like a focused archive: choose a year, scan the surrounding world context, then settle into the report.

