Anchored Generative Model

A constrained AI generation approach where content creators define upper and lower bounds (anchors) of acceptable variation, and a generative model interpolates between these boundaries based on user preferences. In the context of caption customization, anchors are concrete caption examples that represent extremes of a transformation dimension (e.g., most concise vs. most detailed). This approach balances creative control with personalization by keeping AI outputs within creator-defined boundaries rather than generating unconstrained text.