To scale agentic AI, Notion tore down its tech stack and started fresh

To scale agentic AI, Notion tore down its tech stack and started fresh

Notion has recently launched version 3.0 of its productivity software, making significant architectural changes to accommodate advanced AI capabilities for enterprise use. Unlike many organizations that might resist a complete overhaul of their technology, Notion rebuilt its software to better support agentic AI, which involves reasoning models that autonomously select and execute tasks without exhaustive step-by-step inputs.

Sachs, head of AI modeling at Notion, stated that this new architecture was necessary due to the differences in workflows for AI agents compared to traditional models. The revised system allows AI agents to perform complex, goal-oriented tasks across various platforms. This version, unlike Notion 2.0, enables agents to act on users’ assignments while managing multiple tasks simultaneously.

The company reports that its software has been adopted by 94% of the Forbes AI 50 companies, serving over 100 million users, including notable clients like OpenAI and Figma. Notion’s engineering focuses on replacing rigid, prompt-based processes with a flexible model that incorporates modular sub-agents, allowing contextual tool use for tasks such as managing databases, editing content, and converting notes into actionable items like proposals.

To address potential issues like hallucinations—when AI produces incorrect or misleading information—Notion employs a rigorous evaluation process. This includes various tests, model scoring, and user feedback loops. This iterative framework aims to isolate and mitigate inaccuracies.

Notion also emphasizes the importance of understanding latency and user expectations. The company actively uses its product and gathers feedback from employees to refine its development. Sachs pointed out the significance of balancing internal use with feedback from trusted external partners to ensure other users receive the best possible experience.

Overall, Notion suggests that their approach, which includes a willingness to adapt and rebuild when necessary, could serve as a valuable model for enterprises seeking to integrate advanced AI solutions.

Source: https://venturebeat.com/ai/to-scale-agentic-ai-notion-tore-down-its-tech-stack-and-started-fresh

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