Published Nov 16, 2023

A Full Deep Dive Into Notion AI

Explore the intricacies of Notion AI development with AI engineer Linus Lee as he delves into the challenges and innovations in creating user-friendly features like Writer and Autofill, emphasizing on balancing technical hurdles with enhancing user experience through strategic partnerships and feedback.
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  • Use Cases

    , an AI engineer at Notion, shares insights into the common use cases of Notion's AI tools. Users frequently engage with pre-built prompts for tasks like summarization, grammar correction, and translation, which help overcome the "blank canvas" problem 1. Notion AI's evolution began with the AI Writer, designed to assist with drafting and editing documents, and has expanded to include features like AI Autofill for project management and the innovative Notion Q&A, which allows users to query their entire workspace 2 3. Linus notes, "AI and humans always work together to iterate on things to get to a better outcome," highlighting the collaborative nature of these tools.

       

    User Education

    Educating users about Notion's AI features involves a mix of internal testing and feedback from early adopters. explains that Notion uses its own tools extensively to identify potential applications and refines features based on user feedback, such as the addition of translation prompts 4. The company also collaborates closely with designers to ensure that AI suggestions are user-friendly and intuitive 5. Linus mentions, "We use the custom, fully extensible part of our AI features to figure out what the key use cases are," emphasizing the importance of adaptability in their approach.

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