The distinction between “AI can suggest” and “the system is allowed to change state” is probably one of the most important architectural boundaries in AI products. What makes it tricky is that the boundary can disappear gradually when model output gets persisted, triggers workflows, or becomes input for another model. At that point, a probabilistic suggestion starts behaving like a fact without anyone explicitly making that decision.
Evelyn Wyatt
Building AI Systems That Actually Work in Production
The distinction between “AI can suggest” and “the system is allowed to change state” is probably one of the most important architectural boundaries in AI products. What makes it tricky is that the boundary can disappear gradually when model output gets persisted, triggers workflows, or becomes input for another model. At that point, a probabilistic suggestion starts behaving like a fact without anyone explicitly making that decision.