Workflow diagrams lie. They make AI systems look orderly: one box extracts information, another box reasons, a third box writes a conclusion, and a final box sends the result somewhere official-looking. In production, of course, the boxes often exchange blobs of fragile text, half-structured JSON, hidden assumptions, and one optimistic prompt that begins with “You are an expert…” ...
Seats are not just seats. For an airline, a seat can be sold as a cheap restricted fare, a flexible economy fare, or not sold at all. A passenger who cannot buy one fare may upgrade, switch flights, or disappear into a competitor’s booking funnel. Multiply that across routes, departure times, fare classes, demand segments, aircraft capacity, and network balance rules, and the innocent phrase “optimize ticket sales” becomes a fairly effective trap for language models. ...
TL;DR for operators A crane is a useful place to test agentic innovation because the problem is painfully concrete: move heavy loads faster, avoid dangerous swinging, prevent overheating, and do not accidentally turn productivity into an incident report. The paper behind TRIZ Agents uses exactly this kind of gantry-crane improvement problem to test whether a multi-agent LLM system can follow the TRIZ method and produce plausible engineering ideas.1 ...