Generational Report desktop reader showing the 1996 report.

project / code

Generational Report

DateNovember 2025
CategoryResearch, Interactive
StackStatic HTML, CSS, JavaScript

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.

Generational Report desktop reader showing the 1348 report.
Generational Report mobile reader showing the 2025 report controls.