Korea University and Catholic University of Korea teams introduce AUGUST in npj Digital Medicine, a sequential question-answering system for gastric whole-slide diagnosis. It generates the next clinical question from prior findings, embeds the slide in that context, and answers only along valid hierarchical pathways. On 23,072 slides spanning 19 dependent tasks and nearly 80,000 question-answer pairs, it beat multiple-instance learning, pathology vision-language models, and foundation baselines. Why it matters: pathology AI fails when it ignores conditional reasoning. Caveat: gastric-focused training leaves broader organ generalization unproven here.