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    Notion’s Autonomous Agent Refactor: Building 2025 Custom Agents

    20 min
    |
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    May 12, 2026
    TechnologyAIBusiness

    Explore Notion’s journey to build 2025 Custom Agents. Learn why Simon Last and Sarah Sachs chose a massive software refactor to create autonomous AI workflows.

    Notion’s Autonomous Agent Refactor: Building 2025 Custom Agents

    Best quote from Notion’s Autonomous Agent Refactor: Building 2025 Custom Agents

    “

    The core directive for any developer right now should be: strip away the internal system complexity. If you're constantly fighting the model's limitations instead of riding the current of what it's actually good at, you're going to lose.

    ”

    This audio lesson was created by a BeFreed community member

    Input question

    A detailed lesson on the 2025 updates to Notion's Autonomous custom agents, specifically focusing on complex architectural changes and advanced workflow capabilities introduced during the 2025 refactor.

    Host voices
    Lenaplay
    Lenaplay
    Learning style
    Fun
    Knowledge sources
    Notion Rebuilt Its AI Agent System 5 Times Before Launch — BigGo Finance
    link
    https://finance.biggo.com/news/3782bf347ef2a2ee
    Notion’s Token Town: 5 Rebuilds, 100+ Tools, MCP vs CLIs and the Software Factory Future — Simon Last & Sarah Sachs of Notion
    link
    https://www.latent.space/p/notion
    Notion AI Agent Architecture: 5 Rebuilds, 100+ Tools, and What Finally Worked | OpenNash Blog
    link
    https://opennash.com/blog/notion-ai-agent-architecture-5-rebuilds-100-tools/
    How we built security into Custom Agents
    link
    https://www.notion.com/blog/how-we-built-security-into-custom-agents
    May 7, 2026 – Plan Mode
    link
    https://www.notion.com/releases/2026-05-07
    Notion AI for Developers — Custom Agents & Workspace Automation Guide 2026 — Effloow
    link
    https://effloow.com/articles/notion-ai-custom-agents-developer-guide-2026

    Frequently Asked Questions

    The Notion Autonomous Agent Refactor refers to the intensive three-and-a-half-year engineering journey led by Simon Last and Sarah Sachs to redefine how AI interacts with software. Instead of settling for initial versions, the team deleted and rebuilt their product multiple times to move beyond simple chatbots. This process was essential to transition from human-centric interfaces to a system where autonomous agents can effectively perform complex tasks like coding and triaging.

    The development of the 2025 Custom Agents was driven by Notion’s AI leadership, specifically co-founder Simon Last and Sarah Sachs. Their vision centered on the realization that traditional software design, which is typically optimized for human eyes, does not work for autonomous agents. By treating agents as a different species of user, they pivoted the architecture toward a 'software factory' model where AI handles heavy lifting and manages other agents.

    Notion’s early attempts at building coding agents in 2022 failed because the existing architectural models were not suited for the way machines process information. The team discovered that proprietary JSON models were insufficient for autonomous workflows, leading to a complete refactor. This failure was a turning point that prompted a shift toward more robust tools like SQLite, allowing the system to support agents that can code, triage, and manage workflows autonomously.

    Unlike standard chatbots that primarily summarize notes, Notion’s autonomous agents are designed to function within 'software factories' where they perform active work. These agents are capable of coding, triaging tasks, and managing other agents within a workflow. This shift required a fundamental refactor of their software engineering approach, moving away from human-oriented interfaces to an architecture that treats AI agents as the primary users of the system.

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    Key Takeaways

    1

    Section 1: The Five Rebuilds that Changed the Game

    0:00
    0:19
    0:40
    0:56
    1:20
    1:34
    1:48
    2

    Section 2: Why Your Internal Data Models are Failing the AI

    1:58
    2:13
    2:23
    2:44
    2:48
    3:07
    3:19
    3:39
    3:50
    4:08
    4:18
    3

    Section 3: The 100 Tool Problem and Progressive Disclosure

    4:39
    4:56
    5:16
    5:19
    5:37
    5:45
    5:58
    6:12
    6:29
    6:35
    6:57
    3:19
    7:21
    4

    Section 4: The "Last Exam" and the Rise of the Model Behavior Engineer

    7:37
    7:50
    7:57
    8:12
    5:45
    8:25
    8:31
    8:53
    9:02
    9:22
    4:18
    9:49
    5:45
    10:21
    5

    Section 5: The "Build-from-Nothing" Security Model

    10:38
    10:52
    5:45
    11:10
    11:19
    11:36
    11:41
    12:00
    12:08
    12:22
    12:35
    12:50
    2:23
    13:11
    6

    Section 6: Scaling Up While Slashing Costs by 90 Percent

    13:17
    13:29
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    13:51
    13:54
    14:11
    2:23
    14:36
    14:44
    14:59
    3:19
    15:23
    15:32
    15:51
    7

    Section 7: Your Custom Agent Playbook

    16:05
    16:17
    16:19
    16:39
    16:44
    17:04
    17:07
    17:24
    17:31
    17:49
    17:54
    18:13
    5:45
    18:35
    18:45
    8

    Section 8: Closing Reflections on the Software Factory

    18:55
    19:03
    19:22
    4:18
    19:50
    20:02
    20:15
    20:28
    20:35

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