The document under consideration is not a piece of writing but a bill of materials. Posted to the r/ChatGPT forum on Reddit by a user identifying himself as "Tilen," it presents approximately eight hundred words of instruction purporting to make the output of OpenAI's ChatGPT indistinguishable from human prose. The post has circulated widely. Its appeal is obvious. Its assumptions are worth examining at the retail level, because they tell us something precise about the market in which they were formed.
The instructions begin sensibly. Use active voice. Address the reader directly. Prefer "We need to fix this problem" to whatever the machine would otherwise produce. These are the counsels of Strunk, of every junior copywriter's first Tuesday, and they are sound. One could distribute them at a newspaper and expect no argument and only moderate compliance. For roughly the first four hundred words, Tilen's prompt reads as a decent style guide—compressed, example-driven, workmanlike.
Then it keeps going.
"Include relevant statistics and trends (2024-2026 data)," the prompt instructs. "Add 1-2 expert quotes per article." The shift is not marked by any transition, any acknowledgment that we have left the country of prose style and entered the territory of manufacturing specification. The document does not say: here is where we stop talking about writing and begin talking about assembly. It simply proceeds, with the serene confidence of a man who has never noticed the border because, for his purposes, there is none.
By the final paragraph, the prompt requires the implementation of JSON-LD Article schema per schema.org specifications, the structuring of material under precisely four to six H2 headings with one to two H3 subheadings per section, and the sourcing of FAQ sections from AlsoAsked and AnswerSocrates—two search-engine optimization research tools whose names no human writer has ever muttered while attempting to sound human. The word "human" in the post's title has, by this point, completed a quiet journey from adjective to brand claim, arriving at its destination without having troubled its author along the way.
The economics clarify what the rhetoric obscures. Tilen notes, with the practiced casualness of a man who has rehearsed his casualness, that he "now sell[s]" an artificial intelligence agent built on these same principles. The post is an advertisement. This is not an accusation; it is a classification. The prompt is a loss leader—given freely so that the more elaborate product might find its buyers. The strategy is older than the internet. What is newer is the specific commodity on offer: the appearance of humanity, at scale, priced for resale.
The market for such a product is not mysterious. Google's search algorithms have spent two decades training a generation of publishers to write for machines that evaluate writing on behalf of humans. The resulting industry—search-engine optimization—employs, by various estimates, tens of thousands of practitioners in the United States alone and represents a global market valued in excess of eighty billion dollars. The arrival of machine-generated text has not disrupted this market so much as revealed its innermost logic. If the reader was never the real audience, then the writer was never the real author. The prompt merely makes the organizational chart legible.
What Tilen has produced, perhaps without intending to, is a document of unusual candor about the conditions under which most text now comes into existence online. The early instructions—active voice, direct address, plain language—are not wrong. They are, in fact, the qualities that human readers have preferred since at least the King James Bible. But they appear here not as virtues to be cultivated but as variables to be controlled, checkboxes on the same list that includes schema markup and FAQ sourcing. The prompt treats "sounds human" and "ranks on Google" as the same specification, because for the purposes of the market it serves, they are.
This is the economy of passing. The product is not prose. The product is prose that a detection system—whether algorithmic or human—will classify as authentic. The value is not in the writing but in the misattribution. And the price, as with most arbitrage, is set not by the quality of the forgery but by the cost of inspection. So long as no one looks closely, the margin holds. Tilen's prompt is, in this regard, a perfectly rational commercial document. It fails only as the thing it claims to be, which is a guide to writing like a human being. But that was never the product. The product is the sale.
One notes, with the dispassion appropriate to a market observation, that the post asking a machine to write like a human is itself a human writing like a machine—optimized, structured, designed to convert. The ouroboros has rarely been so crisply invoiced.