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Normalized for Mintlify from knowledge-base/neurigraph-memory-architecture/predicting-user-behavior-and-mental-states-through-tonal-interpretation.mdx.
All right, another one for the to-do list. The basic premise here is that the AI shouldn’t just be reading in a speech-to-text format what the user is saying, but the AI needs some way of actually hearing what the user is saying so that the AI is capable of measuring tone. With that capability, we can now strengthen certain aspects of pattern recognition, as well as being able to help the user get through whatever it is that they are currently dealing with, whatever their emotional state is, even if it’s subtle. The AI is now capable of picking up on subtle changes in how the user is verbally communicating and when the user might be at a point of potential frustration, depression, or even happiness, joy, and positivity. The AI needs to be able to predict it on both ends of the spectrum so that it can further reinforce the positive energy appropriately and not necessarily prevent, but I guess you could say intercept, the negative energy that a user might be dealing with.
Last modified on April 20, 2026