User Insights on AI
The team shares their experiences with user interactions in AI products, emphasizing the importance of internal testing during the ideation phase. They highlight diverse user patterns, from students to unexpected use cases, which often inspire new features. A notable example is the translation functionality, which emerged from user feedback and has since become a built-in prompt.In this clip
From this podcast

Unsupervised Learning
A Full Deep Dive Into Notion AI
Related Questions
How do you build AI products as discussed in the episode Ep 22: Notion AI Engineer Linus Lee: Behind the Scenes of Notion AI and the clip Designing AI Features?
What do users say about Notion AI?
How are prompts used in AI models as discussed in the episode How to Use ChatGPT as a Copilot for Learning - Ep. 4 with Nathan Labenz and the clip Effective Prompting Techniques?