Nobody arguing about graph engineering is pricing what a graph you did not need costs you! → every node is another thing to design, and another place the run can fail → Every node is another output to verify: verification burden scales with the diagram, not with the problem → Every edge is coordination latency: time a single loop would have spent inside one context → per-step flexibility is the tax: right-sizing a model per step is exactly what makes it harder to debug → the debugging cost compounds: you pay it on every run, not once at build time The tell that you fell in: you cannot point at which of the five signals forced each node. If a node exists because the diagram looked more serious with it, delete it. A graph earns its complexity when the problem is genuinely multi-specialty or genuinely parallel. Absent that, the complexity is a tax with no return. Bookmark so you do not lose it! Follow @neil_xbt for more!