TL;DR for operators Climate work is not short of data. It is short of usable pathways through data. EarthLink, the system studied in this paper, is best understood as an orchestration layer for climate science: it plans analyses, retrieves relevant data, generates code, runs diagnostics, checks results, produces reports, and stores validated query-code-result patterns for reuse.1 ...
TL;DR for operators DEoT is not “a smarter chatbot”. It is a structured analysis workflow for questions where there is no single correct answer: policy impact, market entry, geopolitical risk, crisis response, investment implications, technology disruption, and the usual executive swamp where every answer arrives with a footnote and a headache. The paper’s useful idea is simple: open-ended analysis needs two motions. First, go wide enough not to miss important dimensions. Then go deep enough not to produce a shallow consultant-flavoured smoothie. DEoT formalises this through a Breadth Engine, a Depth Engine, and an Engine Controller that decides when to branch, when to drill, and when to stop. ...