ChatGPT's visualize workflow turns an answer into an interactive representation that a user can inspect, manipulate, and refine.
The important interface change is that the model does not have to compress every relationship into prose. A visualization can expose comparisons, mappings, sequences, and adjustable inputs while keeping the underlying question visible. This is a step toward task-specific interfaces assembled around intent.
The verification burden rises with the polish of the artifact. Useful visualizations should preserve source data, labels, assumptions, and a stable text fallback. A generated interface is valuable when it makes a relationship easier to test, not when motion or styling merely makes an unsupported conclusion feel more authoritative.