Evolving outputs
Generating multiple outputs and iteratively using selected ones as new inputs helps people uncover ideas and solutions, even without clear direction.
When exploring options, I want multiple outputs to help me refine my preferences and narrow down what I am looking for, so I can achieve more satisfactory outcomes.
- Patterns overtime: Using preferred outputs as new inputs creates a trajectory that an AI model can recognize and leverage, generating increasingly refined and relevant outputs.
- Exploring Suggestions: The process of making suggestions and progressively narrowing down options can lead to more personalized and satisfactory outcomes. Ideal for situations where users may not fully know what they want.
More of the Witlist
Referencing nested data from your database in the form of tags can simplify the creation of elaborate prompt formulas.
AI excels at classifying vast amounts of content, presenting an opportunity for new, more fluid filter interfaces tailored to the content.
Spatial prompting integrates spatial relationships into prompts, offering a novel approach to manipulate concepts. This dynamic approach can lead to more intuitive and creative outcomes.
Letting people select text to ask follow-up questions provides immediate, context-specific information, enhancing AI interaction and exploration.
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.
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.