Content Intelligence Research
What we observe in the writing we work on.
Honest, descriptive analysis drawn from hands-on editorial work — the structural patterns in AI drafts, the signals readers respond to, the tone dimensions that actually change outcomes. One person’s observations, offered as observations.
Framed as observation, not peer-reviewed research. See our methodology.
AI Writing Trends · 10 min
Patterns in AI-generated business writing: what we observe across thousands of drafts
AI-generated business writing leaves a recognisable fingerprint. The patterns are consistent enough across models and use cases to support a small set of editing defaults.
Tone & Audience · 9 min
How readers judge credibility in the first hundred words
Trust is established or lost in the first hundred words. The signals readers weigh most heavily are smaller than writers usually expect — and almost entirely within their control.
Tone & Audience · 9 min
The tone axes that actually change outcomes
Tone is often discussed in broad strokes. In our observation, four specific axes do most of the work — and most discussions of voice overweight the others.
Humanization Observations · 9 min
What changes when readers know AI was involved in the writing
Most publishers we work with hesitate to disclose AI use because they assume readers will discount the work. The pattern we observe across editorial reviews is closer to the opposite — specific disclosure earns trust that vague disclosure or concealment does not.