Question

A localization team is building a system that translates marketing copy. Their success criterion is that translations must preserve brand tone and idiomatic naturalness, which a single pass often gets subtly wrong. They want one model call to produce a translation, then a second call to critique it against tone/naturalness rubrics and suggest fixes, looping until the critique passes or a max of three rounds. Which agent/workflow pattern best matches this design?

Accepted Answer

Evaluator-optimizer, where one call generates output and another evaluates it against criteria, feeding feedback back to improve the result iteratively

Answer

Routing, where an initial classifier directs the input to one of several specialized downstream prompts

Answer

Parallelization, where multiple identical translation calls run at once and the best is selected by majority vote

Answer

Orchestrator-workers, where a lead model dynamically breaks the task into subtasks and delegates each to worker calls