AI Integration

Most "AI on a website" is a chatbot bolted to the corner that confidently makes things up. That's worse than nothing. The AI I build is grounded — it only answers from your actual content, and it shows its sources.

Site search that actually answers

Traditional site search matches keywords. RAG search (retrieval-augmented generation) understands the question, finds the relevant passages across your pages, and writes a direct answer — with citations back to where it came from. Someone asks "do you handle hail damage on commercial roofs?" and gets a real answer, sourced, instead of ten links to dig through.

An on-page "Ask" assistant

A quiet assistant that lives on the site and answers in your voice, grounded only in what you've actually published. It points people to the right service, the right case study, or the contact form — and because it's bounded to your content, it doesn't wander off into things you never said.

Grounded, not guessing

The whole point is trust. Every answer is built from your own pages and cites them, so there's nothing to hallucinate. If the answer isn't in your content, it says so and hands off — it doesn't invent one.

Built on a real stack

I build these on the Vercel AI SDK with a vector index (pgvector) over your content. It's the same architecture running on this very site — so you're not the experiment. You can watch it work before you commit.

What you get

• Search that answers questions, with sources — not a link dump
• An assistant bounded to your content, in your voice
• A system that says "I don't know" instead of making something up
• Architecture that extends as your content grows

AI on a site is only worth it if you can trust the answer. Ground it in your own words, cite the source, and it becomes genuinely useful instead of a liability.