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Long-form, operator-voice articles on AI for small business — how it actually works, where it fits, where it doesn't. Plain English, no marketing language, no buzzwords.
New articles ship roughly once a week. Use the sections below to browse by topic.
Plain-English foundations — context, architecture, why AI gives generic answers, what to do about it.
You've typed into ChatGPT for months — could you say what it actually is? An LLM is a prediction machine, not a thinking machine. This is the one mental model that explains why it hallucinates, agrees with you, sounds sure when it's wrong, and forgets — and what to do about each.
Every fact your AI needs has one of four correct homes — system prompt, memory, retrieval, or conversation history. Get the slot right and the AI behaves like a competent specialist. Get it wrong and you get the kind of generic answer that makes operators give up.
Your AI gives generic answers because it doesn't know your business. RAG — retrieval-augmented generation — hands the model the right pages from your own files before it answers. Here's how retrieval actually works, why it beats retraining the model, and where it falls down.
Your AI works great on small jobs, then hits a wall — it forgets what you said, loses the thread, and gets worse when you paste in a big document. That's the context window: the fixed-size "desk" it holds everything on at once. Why you hit the wall, why a bigger window isn't the fix, and how to work with it.
Making your business legible to AI assistants — ChatGPT, Claude, Perplexity, Google AI Overviews — so when someone asks about you, the answer is yours, not made up.
Google called it the biggest change to search in 25 years: AI Mode answers instead of linking, results get personalized per person, and Google can now call local businesses to book home-repair jobs for customers. The cliff notes, three real situations it creates around Fond du Lac, and what to actually do about it.
The small file you put at the root of your website that tells AI assistants what your business is and where the good stuff lives. Same idea as robots.txt for search engines, but written for the LLMs that now answer questions about you.
Four practical moves — robots.txt opt-ins, llms.txt, JSON-LD structured data, and HTML hygiene — that take a weekend to ship and meaningfully improve how AI assistants describe your business. No developer required for the first three.
What a custom AI install actually means in practice — what gets delivered, how it differs from SaaS, who it fits.
For operators in Fond du Lac County and the surrounding Lakeshore region — the hand-on-shoulder version of an AI install.
More articles ship weekly.
The publication cadence is set up via a Monday-morning workflow that picks the next topic from a 20-article keyword map and drafts it for the week. Topics on deck: what is an LLM in plain English, what is RAG and why it matters, what is the AI context window, AI for trades, how to roll out AI in a small company, and a dozen more. Check back, or grab the free audit if you want a written set of findings on your own site.
Real cell, real human, no bot.
← yes, an AI answers. That's the demo.
For longer questions and file attachments.
Fond du Lac, WI · serving the Midwest and remote installs nationwide.