Does grade awareness bias automatically generated feedback? We present a multi-agent artificial intelligence (AI) framework that contrasts score-blind and score-informed evaluators and reconciles their critiques. Across 908 feedback blocks, score exposure systematically biased the model’s critique: harsher at low grades, warmer at high (halo/horn effects). Isolating a score-blind judgment improved score-alignment without sacrificing faithfulness.