Why the Average AI User Needs Solomon
You don't run an AI lab. You run a business. Or a household. Or a calendar that's too full.
And sometime in the last three weeks, an AI agent got the keys to all of it.
Not a chatbot that answers questions. An agent that acts — with your email, your calendar, your credit card, and your customer list. You don't need to understand the model. You need to understand what it can now do in your name.
What your agent can touch now
Meta launched Muse on September 8. It sends email, books travel, fills out forms, negotiates, and pays with your card — each user's agent running in its own virtual machine. By September 18 it was number one on the U.S. App Store. Apptopia counted 2.8 million downloads in the first twelve days. The free tier covers up to 100 million tokens a week. (Reuters, September 22, 2026; aistockwire, September 2026)
Then on September 29, Meta plugged it into the business itself: QuickBooks, Stripe, Shopify, Slack, Asana, Zoom, your Meta ad accounts. (Unite.AI, September 29, 2026)
Your books. Your money. Your customers. One agent, working after you close the app.
The same day, OpenAI launched dots: always-on agents with their own cloud computer, connected to 4,000+ apps, pursuing goals while you sleep. First one included with Pro and Business Premium. (BetaNews, September 29, 2026)
To be fair, the builders know the stakes. Meta runs a separate Sentinel agent that must approve anything Muse sends to the internet, and routes sensitive actions — payments, emails — to the user for approval. OpenAI says dots ask before sensitive actions. Good design, honestly.
But here's the thing about approvals: they're a toggle. Robinhood's new trading agents ship with approvals on by default — and one toggle turns them off. After that, the agent trades alone. Overnight, if you want. (CoinDesk, September 29, 2026)
Toggles get flipped. Usually at 11 PM, usually with the best of intentions, usually right before something expensive happens.
You have more machine access than a 2024 sysadmin
Pause on that. The average person with a phone now commands more automated access — to money, messages, records, and systems — than a professional systems administrator had two years ago. No training required. No certification. Just a download and a goal.
Nobody is saying don't use it. The capability is genuinely useful: the invoice that gets noticed before you think to ask, the trip that books itself, the follow-up that goes out on time. The problem was never the power. The problem is the missing paperwork around the power.
You need three things, and none of them require you to be technical:
Proof of what it did. Not a chat transcript — a record. Who did what, when, under whose authority. When the refund goes out or the email sends, "the agent did it" is not an answer.
A stop before it sends. Not a toggle you can flip at midnight, but a real gate: nothing moves money, contacts customers, or touches records without a yes from someone with the authority to give it. Authorization-before-action, every time, no exceptions for convenience.
An answer when it errs. Agents will make mistakes. The question is whether the mistake arrives with a trail — what it was trying to do, what evidence it acted on, who approved it — or with a disclaimer.
That's the whole governed chain in plain clothes: Intent → Evidence → Governance → Decision → Authorization → Audit. You don't need to recite it. You need it running underneath everything your agent touches.
The buyer test
Here's the practical version, for anyone running a business in Phoenix or anywhere else: if your AI agent touches customer data or your money — and as of this month, it does — the question isn't whether it's useful. It's who answers when it's wrong.
You need Solomon not because you're technical. You need it because you're not — and the agent acts on your behalf anyway.
— Ronin Inc. DMs open. ronininc.org.
