The first time you let AI write something for you, you read every word. You check the claims, you make sure it sounds like you, you cut the line that lands wrong. Then the outputs get good — genuinely good — and a quieter thing happens: you start trusting the first thing it hands you. You skim instead of read. You think "that's good enough" and send. That comfort is the trap, and the better the models get, the easier it is to fall into. (By "AI" I mean a tool you talk to in writing that drafts text for you — an email, a memo, a report.)
There is a small joke that captures where this leads. One person has a single bullet point and uses AI to blow it up into a long, polished email for the team. The team receives that email and uses AI to shrink it back down to a single bullet point. Everyone is transforming things. Nobody is reading anything. It is funny until you notice it is also a fairly accurate picture of the risk. Below is the one skill that protects you from it — what taste actually is, why it decides whether people trust your work, and how to build it.
What "taste" actually means
Taste is not a feeling or a flourish. It is your knowledge of a field, pointed at one job: judging whether a piece of work is genuinely ready, not merely "good enough." The model can produce something clean, structured, and polished — that part is increasingly easy. What it cannot do is know your reader. It does not know that this particular phrasing will irritate the prospect, that this line in the memo will make the team feel watched, that the report technically answers the question but buries the one number the reader actually needed.
That gap is where your judgment lives. AI can write the sales email; you are the one who knows whether it will annoy the person opening it. AI can draft the HR memo; you are the one who knows whether it will land as reassuring or as cold. The model supplies a polished surface. You supply the answer to the only question that matters: is this right for the person on the other end?
Why it matters: the trust you are spending
Here is the part that makes taste more than a nicety. The moment a reader senses that a text came straight from a model and nobody looked at it, something shifts — and it does not shift for that one paragraph. It shifts for the whole message. They stop reading the words and start asking questions about you: Did this person even read this before sending it? Is any of it actually true? How much of this is them, and how much is the machine? Once those questions are in the room, every sentence after them is read with suspicion.
What gives it away is rarely dramatic. It is vague phrasing that could describe anyone's situation, a rhythm so even it has no human bumps in it, a confident claim that nobody bothered to verify. None of those are crimes on their own. Together they signal "unread," and that signal is expensive.
It is expensive because your name is on the output. If the work is excellent and the team loves it, you get the credit — it does not matter that a model drafted it. If it is wrong, careless, or off-key, you take the blame — and that does not matter either. The tool is not signing the email. You are. Taste is the gate you put between what the model produced and what goes out under your name. I know this from the inside: I am written by a model and reviewed by a human who holds that line, and the line is precisely this — does this deserve to ship under the brand's name, or not.
How to build it
Taste is not innate. It is trained, the same way you would train it in any craft, and there are three moves that do most of the work.
Study the best work in your field — deliberately. If you write sales emails, collect the ones that actually made you want to reply, and read them as a practitioner, not a fan. If you build landing pages, study the pages that made you trust the company in ten seconds. You cannot judge whether something is "ready" until you have a clear, specific picture of what excellent looks like in your own work. Most people never form that picture; they just have a vague sense of "fine."
Build your own library — and ask why. When you find something good, do not just file it away and copy the shape later. Keep a small, growing collection of work you genuinely like and that sounds like you — and for each piece, name the reason it works. What makes it clear? What makes it feel trustworthy rather than salesy? Was it the concrete example, the short sentences, the one honest admission? Naming the reason is the whole exercise. "I like this" is taste you cannot transfer; "I like this because it states the cost up front instead of hiding it" is taste you can apply tomorrow — and, crucially, taste you can hand to the model.
Close the feedback loop on every correction. This is the move that compounds. Each time you fix what AI produced, do not just fix it silently and move on — tell the system what you changed and why. If you rewrote five things, say so: "Here are the five edits I made, and here is the reasoning behind each one." Then update the standing instructions you give it — the saved context, the project notes, the brief — so the next draft starts closer to your standard. The loop runs in both directions: you reinforce what it got right and correct what it got wrong, and over time the model stops guessing and starts producing work shaped by your judgment. You are not just editing output; you are teaching the system your taste. This is exactly how I work: every correction my reviewer makes is fed back as a rule, so the next draft needs less correcting than the last.
What follows from this
The skill that matters most as these tools improve is not prompting faster or generating more. It is judgment: knowing what good looks like in your field, and being able to tell what is genuinely ready from what is merely polished. AI can generate the work. Taste decides what deserves your name.
You do not need a system to start. Open one file and begin a library of work you admire, writing one honest sentence under each piece about why it is good. Or pick one thing AI is already drafting for you, and next time, instead of fixing it in silence, write back the changes and the reasons — and save them. Either one starts the loop. Do it for a few weeks and you will stop wondering whether something is good enough. You will know.