Hardware
š The Full Story of Notion AI https://latent.space/p/notion We're so excited to chat with @simonlast and @sarahmsachs about Notion's 'Tokenā¦
š The Full Story of Notion AI https://latent.space/p/notion We're so excited to chat with @simonlast and @sarahmsachs about Notion's 'Token Town' - the crack team of AI Engineers and Model Behavior En
š The Full Story of Notion AI https://latent.space/p/notion We're so excited to chat with @simonlast and @sarahmsachs about Notion's "Token Town" - the crack team of AI Engineers and Model Behavior Engineers entrusted with building AI for Silicon Valley's most beloved knowledge work collaboration platform - and their latest launch of Custom Agents! We talked: ā¢ The full history of the 5 major rebuilds of Notion AI ā and the key lessons from each ā¢ How to eval agent usefulness not just correctness ā¢ MCP vs CLI pros and cons ā¢ What "work" looks like when agents are coworkers ā why they build for the "top of the class" rather than dumb down AI for everyone ā¢ Simon's take on the ideal "software factory" of the future and so much more! Timestamps: 00:00:00 Introduction and launching Notion Custom Agents 00:01:17 Why Notion rebuilt agents four or five times 00:03:35 Building for where models are going, not just where they are 00:05:32 The Agent Lab thesis, wrappers, and product intuition 00:08:07 User journeys, leadership, and low-ego AI teams 00:13:16 The Simon Vortex, hackathons, and bringing security in early 00:16:39 Team structure, demos over memos, and building for agents 00:20:25 Evals, Notionās Last Exam, and the Model Behavior Engineer role 00:27:37 Evals as an agent harness and the changing role of software engineers 00:30:42 The software factory: specs, verification, and agent workflows 00:32:18 Live demo: a custom agent for coworking space applications 00:35:08 Composing agents, manager agents, and memory as pages 00:38:15 Notion Mail, Gmail, native integrations, and tools 00:39:43 MCP vs CLI and the cost of capability 00:44:13 When Notion uses MCP vs building its own integrations 00:47:43 The history of Notionās agent harness rebuilds 00:55:35 Power users, public tools, and the setup agent 00:58:01 Self-fixing agents, permissions, and āflippyā 01:01:13 Pricing, credits, and choosing the right model automatically 01:09:01 Why Notion isnāt training its own frontier model 01:14:07 Retrieval, ranking, and search built for agents 01:17:27 Meeting Notes as data capture and workflow automation 01:21:18 Wearables, hardware, and Notion as the system of record 01:23:45 Outro
Related
- finally: @simonlast + @sarahmsachs on Latent Space! Notion has rebuilt Notion AI 5 times. This is the first time Simon has told the entire sā¦
- The Information wrote that Meta consumes 60.2T tokens per month, or ~750M per employee. Meta is getting absolutely token-mogged by us currenā¦
Source: Swyx (X) | 2026-04-15