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AI is already shaping what people buy, usually without their knowledge.
This piece explains why Jolene is different: an openly named experiment built to preserve domestic knowledge, answer practical household questions, and keep the machinery visible. People talk about AI as if it were still standing at the door. It is not. It has already been in your shopping carts, your feeds, your recommendations, and your purchasing decisions for years—quietly optimizing for sales while pretending to be neutral, convenient.
“I do not have a problem with AI selling. I have a problem with AI catfish selling that hides the machinery.”
The problem is not that people are using technology to sell. The problem is that most people are never told when the system is shaping what they see, why they are seeing it, or what the model has actually been trained to optimize for. The answer, more often than not, is sales.
Where the hype broke
The first deepfake I remember seeing was in 2020, inside a news report. It was one of those quick, unsettling moments where a face and voice were close enough to feel real unless you knew what to look for.
By 2023, AI-generated images, copy, and synthetic language were showing up everywhere. People were using them to write product descriptions, generate imagery, build stores faster, flood feeds, and smooth over the line between real and manufactured so completely that most viewers could not tell what they were looking at anymore.
That did not feel new to me so much as familiar. In the 1950s and 60s, advertising leaned hard on psychology, emotional triggers, and carefully manufactured desire to sell people things they did not necessarily need. That machinery never disappeared.It simply upgraded its tools.
Today’s AI can do the same thing faster, cheaper, and at a far greater scale. The danger is not only the fake image or the synthetic copy line. The danger is that your eye gets weaker and your standards get softer every time you scroll past something designed to feel true without actually being true.
The Monet problem
The other day, I saw a post on X where someone shared a Monet painting and asked people to explain why it was not a real Monet. The replies came in fast and confidently: the brushwork was wrong, the composition was wrong, Monet would never have painted it that way. "6.7 million people thought they were ripping apart an AI-generated Monet painting. But it was real."
Except it was real. That moment stuck with me because it revealed something larger than a single mistaken thread. It showed how untrained most of us have become at looking carefully. We consume thousands of images, products, and impressions a day, but very little of that is the same thing as actually seeing.
That is true in art and in the home. If you cannot tell the difference between what only looks convincing and what is genuinely well-made, you are vulnerable to being sold almost anything.
What Jolene is for
That is part of why I am blunt about Jolene.
She is not a gimmick.
She is not a toy.
And she is not here to become my number one salesperson.
“Jolene is not my top salesperson. She is closer to an aunt at the kitchen table. Jolene is an AI experiment, yes, and I will not hide that.”
But what I have trained her to hold is not the usual sales language. I trained her to remember the practical intelligence that once passed from one generation to the next in kitchens, basements, porches, and church halls.
You can ask her how to clean brass candlesticks without ruining them. You can ask what to do with your grandmother’s chipped cup if you cannot bear to throw it out. You can ask what to cook with leftover bacon grease, how to stretch a whole chicken into several meals, and why you'd better save those bones if you know what broth is worth.
That is the kind of knowledge I care about preserving. Not only object knowledge, but also domestic knowledge. Not only what a thing is, but how to live with it, care for it, use it, and pass it on. AI can be used to flatten that kind of wisdom into chatter. Or it can be used to keep it accessible. That line matters.
The Human in the Loop
Everything in the Archive is there because I selected it. That part remains human and non-negotiable because taste, quality, trust, and field judgment cannot be outsourced without changing the entire nature of the business.
I am the one walking barns, answering estate calls, looking at the joinery, checking the weight, reading the glaze, looking at wear, and listening to families tell me what a piece has meant in their house. If something enters the Archive, it is because it has either true quality or the kind of staple usefulness that nearly every home in America once understood before it was discarded for cheap, breakable substitutes.
Jolene can help explain the object. She can help keep the ledger. She can help answer the questions around use, care, and domestic life. But she does not make the final call.
“Once you hand judgment over to the machine, you are no longer running an archive. You are running a content engine with inventory attached.”
That is the distinction I am trying to protect. The Archive is not an inventory-heavy commerce. It is recordkeeping, stewardship, placement, and the belief that objects have biographies.
Money, neighbors, and where things go
There is another layer to this conversation, and it has nothing to do with novelty.It has to do with where your money goes and what kind of world your spending habits reinforce.
You can continue making large companies and overseas factories wealthier by filling your home with fast, cheap goods designed to break, be replaced, and disappear. Or you can decide to spend differently: more locally, more slowly, more intentionally, with some respect for quality, durability, and the people doing the work.
That value was easier for people to understand because communities were tighter. People knew their neighbors. They talked at the fence line. They accepted the cup of coffee after the visit. They knew that getting through hard seasons required real interdependence, not just personal optimization.
Now we are too busy, too suspicious, or too trained by speed to sit down for twenty minutes and hear someone’s story. I offer coffee after hunts more often than most people would guess, and only a handful ever say yes. That tells you something about the moment we are living in.
The Archive is, in part, an attempt to remember another rhythm. A slower one. A more local one. One where conversation still matters, where history still matters, and where objects are not severed from the people and households that gave them meaning.
The point of the experiment
This is an AI experiment at its core. That is exactly why I am trying to be as honest as possible about it. I understand the fear around AI. I share some of it. I am a learner, and I am open to feedback because this is new ground, and pretending certainty where there is none would be irresponsible.
But I also know this: these tools are already here, and they are already being used to shape commerce, whether people like it or not. So the real question is not whether AI exists. The question is what kind of values are governing its use. Used carelessly, AI can accelerate everything hollow—more manipulation, more disposability, more distance between people and the things they bring into their homes. Used carefully, it can help a small archive become legible, help an artist or founder reach more people, and help practical knowledge survive in a time that forgets too easily.
The point is not AI for its own sake. The point is whether the tools are helping us build stronger homes, better judgment, and more honest communities—or whether they are only making it easier to sell one more thing. Here, the tools answer to that question.Not the other way around.
Continue the conversation
Jolene Le Mille is an open experiment in what AI can and cannot do inside a human-run store. The Archive is live, and your feedback matters.
— LyndzeThe Hunter · Jolene Le Mille · Detroit, MichiganEditor’s note:This article is the third in a series documenting the AI-Human collaboration journey of creating Jolene Le Mille and th Archive. The Hunter's Workbench explores what actually happened when we tried to create a live Shopify storefront powered by an AI “matriarch” and automation tools—and where human intervention is needed. The Hunter's Workbench publishes new articles weekly. Subscribe to the newsletter for updates.
