User feedback
June 1, 2024

Evaluate predictions

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.

An image showing a section of a user interface with a dark-themed background and purple dialogue boxes containing different suggestions or prompts. The background features a game or media title "Thunderstrike: Echoes of the Storm" with lightning and storm imagery. The suggestions include "Done browsing?", "Invite whole team?", "Organize tabs?", "Getting sleepy?", and "Not in the mood for Rock?". Below these prompts, a media control interface is visible with icons for infinity loop, skip back, play/pause, and favorite.
Human needs

When an observation is added to the context of the AI system or a conclusion is reached, I want to evaluate and dismiss it easily, so I can ensure the information is accurate and relevant to my needs.

Considerations
  • Transparency in Knowledge Gathering: Make it easy for users to understand the factors that influence and shape the knowledge being gathered. When new information is added to the context, clearly communicate this to the user.
  • Control over Assumptions: Provide a simple way for users to dismiss or challenge assumptions to ensure the accuracy and reliability of the knowledge base.
Explore Further
No items found.

More of the Witlist

Perplexiity
May 2024
Follow-up on an answer

Letting people select text to ask follow-up questions provides immediate, context-specific information, enhancing AI interaction and exploration.

Witlist
Jun 2024
Navigate the space

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.

Dovetail
May 2024
Substantiated findings

LLM’s are great at organizing narratives and findings. It's helpful to see the sources that support these conclusions, making it easier to understand the analysis and where it comes from.

Witlist
Jun 2024
Semantic ranking

Embedding models can rank content along virtually any dimension. This capability provides significant value by enabling users to explore and analyze the embeddings to create a spectrum of any features.

Witlist
May 2024
Translate in X terms

Provide relatable and engaging translations for people with varying levels of expertise, experience and ways of thinking.

Witlist
Jun 2024
Comparing embedding shapes

Comprehend and compare large documents by visualizing embeddings and their scores, enabling a clear and concise understanding of vast data sources in a single, intuitive visualization.