Why does AI make everything sound generic?

Generic is the average

An AI model learned from an enormous amount of writing by other people and other businesses. Ask it for a client update with nothing else to go on, and it gives you the most likely client update: the average of every one it has seen. That's what generic means. Not wrong, exactly. Just true of everyone.

Here's one from the agency examples. Asked to "draft this week's update for Hartwell", the AI wrote: "Hi all, great progress this week! The homepage designs are ready for your review, and everything's on track."

With what the account manager knows, the answer changes completely: send it to Priya first, because she asked to see updates before her director does, and lead with the delay on the product photos, which came from the client's own photographer. Nothing in the second version is better writing. It's two facts the AI had no way of knowing.

Why "make it sound more like us" doesn't work

The usual fix is to ask for a different tone: warmer, punchier, less American. That changes the surface. The output gets a new voice, but it still says the same things, because what it says comes from what it knows, and it still knows nothing about you.

A tone of voice guide has the same limit. It tells the AI how you sound. It doesn't tell it what you know, and most of what makes your writing yours is what you know.

What makes writing sound like a business

Read something your best person wrote and look at what makes it theirs. It's rarely the adjectives. It's the specifics: the customer's history, the reason behind a decision, the exception that applies this time, the thing you never say to this particular client.

Specific is what reads as human. And every one of those specifics lives in someone's head, an old email thread or a note on someone's desk, not anywhere the AI can see. The model can only be as specific as the material it's given, which is why better prompts were always the wrong lever.

The fix is material, not wording

Before your next request, write down what a capable colleague would need to know to do the job well: who it's for, what happened last time, what matters to them, what to avoid. Paste that in with the request and compare the two answers. If the difference is big, you've found the gap. The Context Brief Template is a structure for that list, and the Context Brief Grader checks a brief you've already written.

Doing it by hand every time doesn't last, though. It turns into the paragraph everyone types before every request, a slightly different version from each person. The lasting fix is to write the specifics down once, agree them, and put them where the AI can read them. If you'd like help finding which specifics matter most, start with the audit.