Language as a tangible material
Textual information often misses intuitive cues for understanding relationships between ideas. AI can clarify these connections, making complex information easier to grasp quickly.
When dealing with text, I want to make relationships and patterns tangible and accessible, so I can intuitively understand and interact with the information.
- The Limitations of Text-Based Interaction: Text is an inhumane way to interact with information. Physical materials are full of rich texture and detail that guide their use.
- The Richness of Physical Materials: Physical materials have rich textures and details that intuitively guide how they can be used and manipulated, digital experiences are sometimes lacking this.
- Enhancing Digital Experiences: It would be beneficial to make interacting with information more tangible and visual to provide ways to interact and explore information in new ways.
More of the Witlist
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Letting people select text to ask follow-up questions provides immediate, context-specific information, enhancing AI interaction and exploration.
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.
Embedding models can rank data based on semantic meaning, evaluating each individual segment on a spectrum to show its relevance throughout the artifact.
AI collaboration agents can act as writing partners that assist people by enhancing their content through transparent, easily understandable suggestions, while respecting the original input.
Referencing nested data from your database in the form of tags can simplify the creation of elaborate prompt formulas.