about the desk
A language standards desk for the AI policy layer.
LLM Terms Desk exists because the language around AI systems now carries real operational weight. Words like memory, training, grounding, review, consent, and personalization appear in product interfaces, internal approval notes, buyer questions, public policies, and search summaries. If those words are vague, teams can make poor promises and users can form expectations the system never meant to offer.
The desk is independent and editorial in nature. It does not present legal advice or vendor certification. Instead, it studies how AI terms should be drafted so a reader can identify the behavior, the actor, the limit, and the evidence. The method borrows from contract review, documentation, and plain-language policy writing while keeping the tone accessible enough for product teams, researchers, writers, and readers outside specialist legal roles.
What the desk chooses to publish
Published notes favor terms that change a decision. A word is worth studying when it affects whether data is reused, whether an answer should be trusted, whether a user has meaningful control, whether a buyer can compare vendors, or whether an answer engine can cite a page without flattening its meaning. The desk keeps claims narrow, avoids hype, and treats every definition as a piece of language someone may rely on later.