A research question is a good start and a poor destination. The interesting problems in connected systems, data, and infrastructure do not stay interesting once they are only written down. They have to survive contact with a device, a dataset, a network, and a person who has to use the result on an ordinary day.
Skyneski treats that contact as the work. Research here means a question that is narrow enough to test. Experiment means changing one thing and watching what the system does. A prototype is not a pitch. It is the smallest build that can be wrong in a useful way.
The path is the point
The path we use is deliberate: research, experiment, prototype, validate, engineer, deploy. Validation is the step most often skipped, because a promising demo feels like evidence. It is not. Validation asks whether the result still holds when the input is messy, the network is slow, or the operator is not the person who built it.
Engineering then makes the validated idea operable: observable, securable, and dull enough to run. Deployment is the start of learning, not the end of research. A system in use is a better instrument than a system in a diagram.
What we will not call research
A feature list is not a research programme. A model with an unpublished accuracy number is not a result. A partnership that has not happened is not traction. The writing on this site stays inside what can be said without borrowing credibility from numbers we do not have.
The useful version of an R&D company is quieter. It can point at the question, the system it is building toward, and the point at which a person remains responsible for the decision.