Currently, there is no built-in option to provide direct feedback on AI-generated content such as categorizations, priorities, notes, or summaries in Magic AI. Some of these outputs may not be accurate, and users would like to rate or flag AI responses that are incorrect or unhelpful, similar to the thumbs up/thumbs down feature used in other AI chat tools (like ChatGPT).

Key Features:

Thumbs Up/Thumbs Down rating option for AI responses, such as categorizations, priorities, notes, and summaries. Optional comment box for providing detailed feedback on why a response was rated positively or negatively. A backend system that aggregates feedback to improve AI performance and accuracy over time. Notifications or prompts to encourage users to rate AI responses periodically.

Impact: Helps improve the accuracy and relevance of AI-generated content over time by providing real-world feedback. Allows users to flag incorrect AI outputs quickly and easily, leading to better AI refinement. Enhances user satisfaction by ensuring the AI continues to evolve and better meet user needs.