The Expert's Vocabulary Problem

Spent a month building content for a client who is, herself, an experienced marketer — reasonably assuming that her own vocabulary would transfer directly to content for her audience. It didn't. Terms like "offer" or "audit" are fluent inside a marketing circle and opaque outside it; her own readers flagged them as foreign on contact.

The cost of that mismatch wasn't abstract. Close to six people on our side touched this project across the month — research, drafting, review — on top of the client's own budget for it. A wrong vocabulary collected at the very start doesn't stay a small problem; it compounds through every hour spent building on top of it before anyone notices the foundation was off.

The useful lesson isn't about that one client. It's that semantic authenticity is never inherited from the source's expertise — it has to be verified against the receiver, every time, even when the source is fluent, confident, and correct within her own professional register. A word doesn't carry its meaning intact just because the person using it understands it perfectly.

A smaller footnote from the same review: a collaborator flagged an em dash in the copy as "an AI tell" and asked for it removed. The mark predates any language model by a couple of centuries; what actually changed is typing friction, not authorship. Surface heuristics like this one propagate faster than the linguistics behind them do — worth tracking as its own small case of algorithmic folklore, sitting right next to the marketing-jargon problem above: both are pattern-matching mistaken for understanding.