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Explore model-generated simulations of attention and emotional response to written content.

MindReader analyzes content through a model-generated simulation of how a reader might respond. Its reports organize the output into seven systems, including attention, personal resonance, effort, memory, social response, and language. A visual brain map and a timed reading view connect these estimates to particular passages.
Users can launch an analysis or explore a preloaded example to see how changes in wording correspond with the simulated signals. Key moments include explanations of why a phrase might draw focus or feel familiar. The output supports exploring communication and revising material; it represents a model's interpretation rather than a measurement of an individual reader's brain activity.
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