Content
AI-Assisted Content Architecture
Models are good at proposing structure. They are bad at knowing which page your customer actually needed.
Inventory before generation
We start with what exists: URLs, PDFs, menus, booking steps, and the questions staff answer every week. A model can cluster that material. It should not be asked to imagine a business from a one-line prompt.
The output we want is a map of page types, not fifty near-duplicate location pages.
Fields, not blobs
Future sites store services, trips, people, and locations as fields. Models can help fill a draft of those fields from source notes.
Structured content is what lets a static build stay fast and lets a later model read the site without scraping a visual builder.
Publish is a human gate
Nothing model-written goes live because the draft sounded finished. Hours, prices, medical claims, and legal language get a named reviewer.
That gate is the difference between an assisted workflow and an unattended content mill.
Continue
AI Without a Bolted-On Chatbot
Why a future website does not start with a chat bubble, and where GPT, Gemini, Grok, or Claude can help without one.
Read →Future-Ready Information Architecture
Information architecture that stays useful for people and for answer engines, without keyword-stuffed doorway pages.
Read →AI for Alaska Business Websites
How Alaska businesses can use GPT, Gemini, Grok, and Claude without losing local accuracy, seasonal judgment, or a fast mobile site.
Read →