AI deployment is not only a model question. It is a product discipline.
The model has to meet a workflow, the workflow has to meet a team, and the team has to trust the system enough to change how work gets done. That means the engineering problem includes adoption, evaluation, observability, handoff, and the small frictions that decide whether a tool becomes useful or ornamental.
type DeploymentQuestion = {
modelBehavior: string;
userWorkflow: string;
operationalConstraint: string;
};The work I want to keep sharpening lives in that triangle: capable systems, clear product judgment, and implementation that survives real use.