ChatGPT

Postings that name the tool rarely want research-level knowledge of language models. They want someone who has used one in a production setting and knows its failure modes: that it invents sources, that it is confident when it is wrong, and that output which sounds finished may still need checking against the real data.

Typical use runs from first drafts of copy, briefs and reports, through summarising long documents and support tickets, to scaffolding code and test data. In analytics and live operations roles it often means speeding up queries and write-ups rather than producing anything a player sees.

Where generated material reaches the game itself, questions of rights, review and consistency with the existing style apply. Treating the tool as a draft stage with a named person responsible for the result is the practice most studios ask for.