As of October 2025, Notion’s AI Agents provide AI PMs with a powerful tool to turn plain-language prompts into complex, real-time databases, enabling streamlined workflow automation and enhanced internal productivity. The demonstration covered by Peter Yang with Notion co-founder Akshay and AI lead Ryan highlighted how these agents automate tasks like generating custom properties, views, and executing real-time data integrations. Here’s a step-by-step guide for PMs looking to implement this tool:
1. Integrate AI Agents into your workflow: Start by configuring Notion’s AI Agents in your team's workspace to convert natural language inputs into actionable database elements. 2. Utilize real-time data fetching: Set up the agents to automatically integrate external data (such as IMDb critic ratings via built-in web searches) ensuring that your product databases remain current and enriched. 3. Create shareable custom agents: Build agents with memory pages, autonomous triggers, and schedules to support interdepartmental collaboration—especially useful for integrating with Slack for notifications and updates. 4. Monitor usage and iterate: Track the internal AI usage metrics (notably, Notion reported a fourfold increase in usage) to continuously refine prompts and workflows based on team feedback and evolving requirements.
Real-world usage indicates that such automation not only reduces manual overhead but also drives strategic discussions around pricing models such as seat-based pricing. While detailed case studies are still emerging, early adopters are already noticing significant productivity improvements as tasks that once took hours are now streamlined with automated database handling.