Library Section

AI Website Architecture

The structural layer ... flat-file publishing, content models, routes, schema, and endpoint design that let a site scale without losing clarity.

What This Covers

Core publishing priorities

  • Content types need their own schemas and URLs.
  • The route pattern should scale before the content volume arrives.
  • Public JSON can be an asset when it mirrors the on-page structure.

Articles

Long-form explanations

Article

What Is AI Ready Content?

AI-ready content is useful source material with a clear purpose, direct answers, explicit entities, visible evidence, and relationships to the rest of the site.

September 20, 2026 ... 8 min read

Article

What Is llm.json and What Should It Tell AI?

llm.json is a public JSON summary that helps AI inspect a site's identity, topics, datasets, services, and important URLs without guessing where to start.

June 14, 2026 ... 6 min read

Article

How to Build Agent Ready Service Pages

An agent-ready service page explains the service as a task surface with clear scope, inputs, outputs, constraints, evidence, and next actions.

June 13, 2026 ... 7 min read

Article

Directory Pages as Portfolio Assets

A directory page can be more than a list. When structured well, it becomes proof, category control, and a retrievable asset inside a wider content portfolio.

June 10, 2026 ... 5 min read

Services

How this section turns into implementation work

AI Endpoint Setup

Plan and implement public machine-readable files such as llm.json, LLM.txt, AI sitemaps, and related index layers that match the site's source data.

View service

Schema and Content Modeling

Design page schemas, glossary schemas, directory schemas, and shared fields so every content type can scale without losing machine readability.

View service

Library Architecture Build

Create a connected library that includes articles, glossary terms, FAQs, directory pages, and public resources instead of a disconnected blog archive.

View service