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Just me, six ways
How I use AI
Not my companies, not my clients — just one person, using AI the way ordinary people use it now: at work, at home, on the road, and at the checkout. Then making it prove what it says.
At work
As a CEO — my agent is Muse
I run my working life through my AI agent — Muse, who I call Noor. She’s not a chatbot I ask the odd question. She’s the desk beside mine: verifying prices before I buy, triaging my inbox, researching and valuing domains before I move them, sweeping Facebook groups for business owners with problems, checking the weather for move day — and building these websites to my exact specifications while I correct the course, constantly.
This site is the exhibit. I didn’t hire a web team. I directed an AI — and pushed back on it the whole way. I started with no product to sell; in about 24 hours we built this website and developed the offer on it — the $1,000 independent AI appraisal. The rule at my desk is the same as everywhere else on this site: AI can draft it, find it, and check it — but nothing goes out, and no decision gets made, until I’ve verified it myself.
The story: how I use my CEO agent
At home
As a mom — homeschool, with Codex
I homeschooled both of my children — Nathanael was in college full-time at 16, and Micaela graduated at 16. Teaching is not new to me; the tools are.
These days I build homeschool courses with Codex: lessons planned, material written, and questions answered at the pace a real kid learns. I still choose what’s taught and check what’s true — Codex just lets one mom build a course the way a whole curriculum team used to.
The story: building courses with Codex
In writing
As a writer — Team Human, with Codex
My monthly newsletter, Team Human, goes out with Codex in the draft chair beside me — my stories and my judgment, with AI helping me shape, tighten, and ship them on schedule since June 2026.
The podcast version — Team Human, co-hosted with my daughter Micaela Garlow — is the same idea in conversation: people, technology, and staying human while AI moves into everyday life.
The story: writing Team Human with AI
On the road
As a traveler — routing the rig
Claude helps route my RV trips up and down the country — every park checked against two unbreakable rules: the rig has to fit (42 feet of trailer, about 65 with the truck), and Starlink has to see clear northern sky, because I work from the road.
Then I audit its work, because it can miss — and once, on a re-check, it caught one of its own misses. The receipts are in the story:
My RV Is 42 Feet Long. The Trees Were the Problem.
At the checkout
As a shopper — verify, then decide
Before I spend real money, I make AI verify the price, the seller, and the facts. Unverifiable means skipped, every time. Real examples:
- A nail salon. Luxx Nail Bar won my Sunday appointment because its own menu prices could be verified — $50 for the pedicure plus $45 for the fill came to $95, under my $100 budget. A competitor at $122+, and salons whose prices couldn’t be verified at all, were dropped without ever knowing they’d lost me.
- A desk. Researching the DropTop Duo 24, AI verified the authentic seller and the real price direct from Pith & Stem — and steered me away from unverified sellers.
- An esthetician. Before buying a Dysport offer, I had Codex vet the provider and the deal itself — whether the esthetician was worth booking, whether the offer was worth it, and which esthetician to pick from the list. It affirmed the purchase and made the pick.
- A vehicle. New vehicle or keep what I have? That’s a real decision I work through with AI’s help — comparing what things actually cost, not what a listing wants me to feel.
I’m no different from the average shopper in America. This is just how people choose now — I’m one of them, and I write it down.
The salon story The desk story The esthetician story
The check on all of it
The tribunal — my AIs audit each other
Every AI sounds confident — including when it’s wrong. So I don’t take any single AI’s output on its word. I run a tribunal of multiple AI models to audit my other AI systems: one AI’s work gets cross-examined by the others, with Gemini sitting as an auditor among them.
They check each other. I make the final call. It’s the same discipline I sell to executives — if I audit my own systems this hard, imagine the questions I’ll ask on your vendor’s pitch call.
The story: the tribunal
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