Brand wear is the moment a generic AI system starts writing from a specific brand's record instead of its own defaults. The same brief, run twice: one run is what any model writes by default, the other is authored from the brand's signals.
Why it matters
Most AI content is generic because the model writes from its own training, not from you. It sounds fluent and could belong to anyone in your category.
Wear is the switch. Once a brand record is loaded, the model's defaults stop driving the output and the brand's own voice, claims, and rules do.
The difference is visible, not asserted. Put the generic run and the worn run side by side and you can see which one actually knows the brand.
How Jinn treats it
Jinn does not filter a generic draft to look on brand. It loads the brand record first, so the draft is written from the brand's signals from the first word.
Every line of a worn run traces back to a named signal: a phrase the voice allows, a claim the evidence backs, a word the banned list removes. Nothing here is a style layer painted on top.
How it works runs the same brief twice, generic against worn, and traces each branded line to its signal. See it
Related terms
Generic by default, or written from the record.
Wear is the moment the brand's own signals take over the draft. See it happen on the same brief.