Academic decision theorists largely reject Functional Decision Theory due to vague definitions. A new proposal suggests a pragmatic variant to resolve these theoretical gaps. This framework treats predictors as game theory elements to stabilize AI behavior. Practitioners can use these defined variants to better predict and control agentic decision-making in complex environments.