One of the things I didn't expect when I started building Neuron AI was how much the design of the framework would be shaped by the people using it. I started this project to solve my own problems: I wanted PHP developers to have a clean, idiomatic way to integrate AI into their applications without having to learn Python or rewire their entire mental model. But at some point, the users started driving the direction more than I did. That's probably the clearest signal that something is actually being used in the real world. Issue #530 is a good example. A developer came in with a well-structured request: they had an agentic document processing pipeline where several independent tasks (extracting text, analyzing images, classifying metadata) were all running sequentially. Each step was calling an LLM. The total latency was roughly the sum of all individual calls. The question was simple: can these branches run in parallel? It's the kind of request that feels obvious in hindsight.…