Post-AI Systems
Turning a private network of AI-built projects into a living public record
About this project
The live site publishes project landings, full stories, notes, related content, and agent-readable context from approved Markdown snapshots. Its public component catalog and page system run on the same versioned design system.
Updated on
04.09.2026
Version
v0.5.0
Project brief
Agent-ready context
Problem
Substantial work with AI agents remains difficult to evaluate when its architecture, decisions, failures, and evidence stay scattered across private workspaces.
System
Post-AI Systems turns approved project and article snapshots into a public, navigable evidence layer without taking ownership away from their source projects.
Input
Versioned Markdown snapshots, project metadata, articles, visual assets, design-system rules, and corrections from live review.
Output
Project landings, full stories, notes, related material, and agent-readable context generated from the same approved sources.
Evidence
The live site publishes multiple working projects and articles through shared content contracts, project routes, story pages, context endpoints, and its own design system.
Status
Working public portfolio under active development, proven on one owner-operated project network rather than as a general publishing platform.
