AI Writing Ethics

Principles we encourage

• Honesty — represent your work, your role, and your assistance accurately when context calls for it.
• Originality — use AI to find your own voice more clearly, not to launder someone else's.
• Attribution — credit sources, collaborators, and prior work when your output draws on them.
• Responsibility — treat every word you send as a word you stand behind, regardless of how it was drafted.
• Care for the reader — write to be understood, not to game a metric, a detector, or a feed.

Uses we discourage

• Passing off rewritten material as someone else's original work.
• Generating reviews, endorsements, or testimonials that are not genuine.
• Impersonating named individuals or organisations.
• Producing content whose primary purpose is to deceive, harass, defame, or manipulate.
• Mass-producing low-quality pages designed to capture search traffic rather than serve readers.
• Evading legitimate review processes — academic, journalistic, regulatory — through tone laundering.

Our position on detection

We build tools that make writing genuinely clearer, more human, and more useful to the reader. Detector outcomes are a downstream consequence of that work, not its purpose. We do not market our product as a way to defeat detection, and we do not optimise it to do so.