Brain signal analysis stays in specialist hands, and the authors argue the reasons are practical rather than fundamental. Working with this data demands extensive expertise, and the pipelines are static and task-specific: built for one question, on one kind of recording, and unable to adapt when either changes.

That combination limits who can use BCIs and what they can be used for. Every new question needs someone who knows both the neuroscience and the tooling, which is a small population, and the pipeline they build usually does not transfer to the next question.

BrainAgent proposes a multi-agent framework driven by a language model to supply the missing adaptability. Whether it works is the open question, but the diagnosis is worth separating from the proposal: the field's constraint may be the rigidity of its analysis pipelines rather than the difficulty of the signal.