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MULTIMODAL-AI5 MIN READ

Sequence Images Like Evidence

Improve a multi-image prompt by ordering and labeling visual evidence for comparison.

Mei needs a shelf-audit answer that compares visual evidence instead of merely describing photos. Before: unordered photo dump After: context, reference, close-up, exception The after version gives each image a job. Context sets the scene, reference defines the standard, close-up carries the evidence, and exception narrows the cause. The after version preserves comparison order. The model can reason over change instead of generating separate captions. The after version reduces token waste. Extra images are useful only when they add evidence, not when they repeat the same angle. Order turns multiple images into an argument. multi-image evidence sequencing Moved from image…

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