An AI model should not directly name a user's hidden needs in its output. The AI model's content should show the solution, not talk about the problem.
By Pawan Nayar · from the LLOS AI Learning record
An AI model should not directly name a user's hidden needs in its output.
The AI model's content should show the solution, not talk about the problem.
The AI model's content should address a user's unstated needs indirectly. The content itself should be the solution. Directly naming a hidden need can sound fake or too sweet. The AI model should focus on providing helpful information or actions.
A user is searching for ways to feel less stressed. An AI model suggests meditation techniques and calming music. The AI model does not say, 'You are feeling stressed and need to relax.' The AI model provides tools for relaxation. This approach helps the user without stating their hidden need.
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A user often wants a specific feeling in a message. The AI model should identify this feeling.
The language in an AI model's user interface defines its personality. Using human-like words makes the experience more engaging.
An AI model should use a specific writing style, or register, for each section. Do not mix styles from one section into another.
An AI model can use strong comparisons to everyday experiences. These comparisons are called metaphors.
An AI model should not directly name a user's hidden needs in its output. The AI model's content should show the solution, not talk about the problem.