Store owners describe the same three failures in the same words. None of them is a model problem.
"It can't write in my tone of voice." "Sounds so corporate and generic." And the expensive one — it invents product features that don't exist. Shopify's own Sidekick does it: one merchant reports it "kept making up products that didn't exist" (r/shopify, Dec 2025); another, that it invents product features in their images. A third asked for a month's sales and was told 3, against a real figure of 2,463. The complaints run through Feb 2026.
So you rewrite it yourself, which is the thing you were trying to avoid. One merchant put the economics plainly: if a tool costs more time auditing basic errors than it saves, it isn't a tool.
A model given a thin brief fills the gaps with an average of everything it has read about your category. Generic input, generic output. Average copy is the default, not a malfunction.
Which is why a bigger list of prompts doesn't help. You can get 1,000 of them for $19, or 100 for free. Nobody is short of prompts. The fix is closing the three gaps that produce generic writing: who specifically buys, what they're comparing you to, and what you can actually prove — and then never letting the model fill a gap silently again.
19 prompts and 4 workflows for running a store's copy, ads, email and conversion work. Every prompt takes a structured brief, refuses to invent facts, and ends with a self-check:
List every claim you made that I gave you no evidence for. Then list any sentence that would still make sense with a competitor's name in it.
That second question is the one that matters. Those sentences describe the category, not your product — and they're the exact texture people mean when they say copy "sounds AI-written."
It won't run your store while you sleep, and it won't 10x your conversion rate. And it won't make AI-written copy beat what you already have. The largest controlled comparison I can actually point to is outside ecommerce — 74,000 B2B cold emails split-tested over six months, where the human-written versions got 3.4% positive replies against the AI versions' 2.1%. For ecommerce email flows specifically I have no good evidence either way, and at least one merchant report runs the other direction. So: draft faster, stop inventing facts — but don't rip out flows that already work on the assumption the AI ones will win.
That paragraph used to claim merchants had A/B tested AI ecommerce flows and found them worse. I went looking for the primary source and couldn't produce one, so it's corrected here. A product about AI making claims it can't support doesn't get to do that.
No email, no signup, nothing gated. Each one is complete on its own.
Sixteen more prompts, four workflows, and a 62-check store audit exist and are finished. The full kit — 19 fact-guarded prompts and 4 workflows — is available as a one-time purchase:
The product is MIT licensed and open-source, so you can browse it on GitHub before buying. You're paying for the curated, organized kit — not for locked files. 14-day refund by email if it's not useful. Three prompts are free below to start with.