transcript
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Sarah Sachs, Head of AI at Notion, discusses Notion's architecture strategy for AI agents using Vercel Workers and Sandboxes. She explains why agent processing is shifting to CPU execution, local file systems, and deterministic workflows over token-exhaustive LLM loops, and how Notion acts as an intelligent context layer across frontier models.
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Timestamps:
(00:00) Introduction
(00:39) Preview Of Vercel Talk
(01:22) Concrete CPU Execution Examples
(02:46) Workflow Examples And Use Cases
(04:32) Evolution Of Agentic Systems
(06:05) Shared Context In Enterprise
(08:27) Model Lock-In And Context Ownership
(11:36) How Notion Evaluates Models
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Note: This podcast is not investment, legal, or tax advice, and is intended for informational and entertainment purposes only. Hosts and guests may hold positions in the companies and securities discussed; do your own research before acting on anything you hear.
