Proactive agents
Proactive agents can autonomously initiate conversations and actions based on previous interactions and context providing timely and relevant assistance.
When using proactive agents, I want them to initiate conversations and actions based on my previous interactions and context, so I can get help without even knowing I need it.
- Proactive Support for Unrecognized Needs: Proactive agents are particularly beneficial for people who may not realize they need help, ensuring support is provided when needed.
- Smooth and Intuitive Experience: The timely and relevant assistance from proactive agents leads to a smoother, more intuitive experience.
More of the Witlist
Presenting multiple outputs helps users explore and identify their preferences and provides valuable insights into their choices, even enabling user feedback for model improvement.
Automatic model switching in AI can boost efficiency by selecting the most appropriate model for each query, ensuring a balance between quick and accurate responses.
AI excels at classifying vast amounts of content, presenting an opportunity for new, more fluid filter interfaces tailored to the content.
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.
Textual information often misses intuitive cues for understanding relationships between ideas. AI can clarify these connections, making complex information easier to grasp quickly.
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.