Applied AI field guides.

These guides examine three different settings that are often placed under the same neural label. A robot interface concerns task state and physical execution. A brain-data interface concerns measurements and research provenance. An AI trading workflow concerns evidence and the information available at a particular point in time. Their terminology overlaps, but their contracts and consequences differ.

Start with the article closest to your actual project, then write down the authority the model should not have. For robotics, keep physical control and stop behavior in the appropriate control system. For biosignals, separate software quality from a validated interpretation about a person. For trading research, keep a reproducible experiment separate from a claim about future returns.

Use simulated environments, synthetic fixtures, or properly authorized historical data for early work. The articles are conceptual engineering guides, not deployment approvals, medical guidance, or investment recommendations. Expand a prototype only after the relevant hardware, scientific, operational, and professional review. A clear decision not to automate something can be a valuable engineering outcome.