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 llm.json?

llm.json is a machine-readable summary layer. It should tell an AI system what the site covers, what matters most, and where the strongest pages live.

June 14, 2026 ... 4 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.

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Schema and Content Modeling

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

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Library Architecture Build

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

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