Classifying topics
AI excels at classifying vast amounts of content, presenting an opportunity for new, more fluid filter interfaces tailored to the content.
When there is a large amount of content, I want an easy way to search through it so I can quickly find the relevant information for me.
- Limitations of Conventional Filters: In conventional interfaces, filters consist of a fixed set of categories and tags. As time passes, more tags are added and content changes. This can clutter the filter interface and hinder people in finding the information they are looking for.
More of the Witlist
AI actions often take time to complete. To improve user experience, use descriptions of what is happening combined with basic animations that represent different types of actions.
Ordering content along different interpretable dimensions, like style or similarity, makes it navigable on x and y axes facilitating exploration and discovery of relationships between the data.
An intelligent assistant that analyzes emails to identify questions and feedback requests, providing pre-generated response options and converting them into complete and contextually appropriate replies.
Letting people select text to ask follow-up questions provides immediate, context-specific information, enhancing AI interaction and exploration.
Referencing nested data from your database in the form of tags can simplify the creation of elaborate prompt formulas.
When an observation is added to the context from an implicit action and a prediction is made, users should be able to easily evaluate and dismiss it.