← All IntelClip / AI ToolsNotion's software factory: multi-agent orchestration in practice
From Notion's Token Town — Sarah Sachs, Notion · ≈19:38
“Always be closing. Always be selling. Always be hiring.”
“This isn't a markdown file. This is an active document.”
“Maybe Claude Code isn't the best at customer voice, but Decagon is, right?”
“You're committing to the concept that AI is augmenting and automating what you do.”
What’s in it
- Demos Notion's live agent orchestration inside an actual task document
- Shows chaining Claude, Decagon, and Codex agents on one workflow
- Pitches a multi-agent 'software factory' over single-lab lock-in
Clip transcript
difficult tasks of making factories work. So okay, this is me telling Tay to tell people to buy notion AI. And the reason I included this slide is I am going to sell notion for a second. It's my job. Always be closing. Always be selling. Always be hiring. come find me. But I'm going to talk for a second about how notion does this today. We already have the ability to inspect tasks. And you can imagine any task that you look at um in a notion document. You can have Claude actually go ahead and scope out what you need. We've launched this manage agent capability today. So if I go ahead to the top of this task, I can actually ask Claude agent to scope out the task. Right? Ideally, it's working. Um, and you'll see it'll actually populate um an entire spec of what needs to be done. In this example, it's not ready. It's going to ask me a question. Keep in mind, this isn't a markdown file. This is an active document. Um, let's say I don't actually know the question and I go ahead and I ask my team um what to do. Imagine that you can kind of tag in your team into these systems. MJ's our PM. So in this example, she doesn't know. Usually she does, but multi-agent orchestration is important. Maybe Claude Code isn't the best at customer voice, but Decagon is, right? You can ask Decagon agents, we're proud partners of them as well, to collect the right data that you need. Okay, in this example, we think we know enough. We're going to go ahead and actually um iterate through some of this flow. I'm going to skip ahead a little bit. We asked our TL what we needed. He replied again. It's a collaborative file, not just a markdown. And we can have Claude actually go ahead and spin up the PR. Hopefully, this is looking a little familiar now. This is kind of the vision of software factories. It's what we're trying to host. Okay, Claude put up a PR. Maybe that's not enough. Um maybe I want to go ahead and ask Codeex what it thinks. Great. Found two issues. You can think about this scaling in an actual factory. So today in notion, you're actually able to orchestrate these agents together and you're not committing to a lab. You're committing to the concept that AI is augmenting and automating what you do.
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