Ep 22: Notion AI Engineer Linus Lee: Behind the Scenes of Notion AI

Unsupervised Learning

Linus Lee is an AI engineer at Notion, one of the earliest and most effective adopters of AI. In the episode, Linus shares how Notion developed its AI products, including Writer, Autofill, and Q&A, which just launched on Tuesday. It was fascinating to learn how Notion structures its AI team and dogfoods its development process. Linus also explores the hardest to anticipate when going to market with new AI features, and how Notion thinks of its LLM partnerships. Overall, a wide-ranging conversation about the behind-the-scenes stories of one of the most widely used AI tools today.

(0:00) intro

(0:37) T-Swift

(2:07) Notion AI

(9:08) approach to staffing

(16:51) educating users and user behavior

(22:32) challenges in developing Notion Q&A

(30:42) working with Anthropic and Open AI

(35:50) avoiding hallucinations

(36:23) switching AI models

(39:32) iterating on interfaces

(42:03) over-hyped/under-hyped

(48:03) Midjourney

(51:07) Pat and Jacob debrief

With your co-hosts:

@ericabrescia

- Former COO Github, Founder Bitnami (acq’d by VMWare)

@patrickachase

- Partner at Redpoint, Former ML Engineer LinkedIn

@jacobeffron

- Partner at Redpoint, Former PM Flatiron Health

@jordan_segall

- Partner at Redpoint