Notion’s Token Town: 5 Rebuilds, 100+ Tools, MCP vs CLIs and the Software Factory Future — Simon Last & Sarah Sachs of Notion
📰 Latent Space
Learn how Notion built Custom Agents, a revolutionary AI-powered tool, and the challenges they overcame to turn a productivity tool into an agent-native system of record for enterprise work.
Action Steps
- Explore Notion's Custom Agents and their features
- Analyze the challenges Notion faced in building Custom Agents, including early failed tool-calling experiments and rebuilds
- Apply the 'Agent Lab' thesis to your own product development, focusing on understanding human collaboration and building the right product
- Evaluate the potential of agent-native systems of record for enterprise work
- Research the role of AI in productivity tools and its potential impact on the future of work
Who Needs to Know This
Product managers, software engineers, and AI engineers can benefit from understanding the development process and challenges of building AI-powered tools like Notion's Custom Agents.
Key Insight
💡 Building successful AI-powered tools like Notion's Custom Agents requires a deep understanding of human collaboration and a willingness to iterate and overcome challenges.
Share This
🚀 Notion's Custom Agents are revolutionizing productivity! 🤖 Learn how they overcame challenges to build an AI-powered tool that's changing the game for enterprise work. #AI #Productivity #Notion
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