Ghostwriters in the Machine: How Multi‑Agent LLMs Turn Raw Transport Data Into Decisions
A bus operator does not usually suffer from a shortage of charts. It suffers from the more irritating problem: charts that explain themselves only to the person who made them. The fuel-efficiency analyst has a histogram. The data scientist has a clustering plot. The operations manager has a timetable to defend, a fuel bill to reduce, and perhaps a driver-training programme to justify. Somewhere between those roles, insight quietly evaporates into a PDF appendix. ...