Core Viewpoint - Notion is transforming into an All-In-One AI platform by integrating AI deeply into its core architecture, rather than as an add-on feature, allowing it to adapt to various user workflows and thinking styles [1][4]. Group 1: AI Features and Architecture - Notion introduced three new AI features in May, including AI Meeting Notes, which seamlessly integrates generated content into existing workflows [1]. - The modular "block" architecture of Notion allows for deep contextual information, reducing AI hallucinations and enhancing understanding of the workspace's structure and logic [2][8]. - Notion's AI is designed to match the best model for different tasks, considering quality, latency, and cost [5][10]. Group 2: Product Development and Evaluation - The modular technology architecture enables rapid product iteration and continuous performance evaluation through a unique "LLM referee system" managed by AI data experts [6][7]. - This system allows for quick assessment and deployment of new models from various sources, ensuring ongoing quality and performance improvements [6][11]. Group 3: Practical Applications - Notion's AI can construct complete project trackers, summarize project progress across teams, and use real data for roadmap reasoning, all based on a structured knowledge graph of user work content [11]. - The structured foundation of Notion's AI facilitates smarter model allocation, faster evaluations, and true integration with the product rather than a simple overlay [11].