Why is multi-agent management the biggest shift in how LLMs are used?

Short answer: Jordan Metzner says people used one chatbot at a time, but now agents manage other agents, making users managers of managers. Sam Nadler says managing four agents already makes him feel four times more productive.

Watch this answer from Episode 30

Watch this answer from Episode 30 (starts at 13:49) · Episode 30 notes and transcript

What was said on Built This Week

From Episode 30: Claude Opus 4.6, Codex 5.3, and the Rise of Multi-Agent AI, starting at 13:49.

Jordan Metzner [13:48]: I think historically, everybody's been using one agent at a time, or, like, one chatbot at a time, one thing at a time. Maybe you ask ChatGPT something, maybe you ask Claude something, maybe you ask Gemini something. But for the most part, it's been kind of one off tasks. Ask them something, get a response. Ask them something, get a response. I think Claude Code kinda changed that in the sense that it would do things kind of in a sequential order, of being able to kind of create a list of tasks. But I think today, in episode 30, I guess we're in February 20 02/05/2026. This will come out on February 6. But I think the biggest change we're seeing now is multi agent management with other agents managing those agents. And I think that's gonna be the biggest real pivot here in using these LLMs is you become a manager of managers, and that manager is managing a bunch of other agents. And so it's just gonna keep escalating where you're higher up on the hierarchy, there's and just gonna be more and more agents working for you asynchronously, synchronously, overnight, during the day, long term. I mean, maybe you have an agent that does, one month of research or something like that or one month of math or something. So you could see that all these different things are kind of coming together, but I think what's most interesting now, both with OpenAI and Anthropic, is kind of launching this super kind of manager of agents type of model where the agents can go off and do autonomous work and come back and bring back to you. So it is a super exciting state to be. They it looks like Anthropic continues to push inside of Excel, PowerPoint, and kind of some of the other Microsoft weak spots, I would say.

Jordan Metzner [15:13]: And, yeah, this is what they call it with Claude Code. They call it agent teams. Set up multiple agents that coordinate autonomously and work in parallel, best for tasks that can be split up and tracked independently. So, this is a head to head battle. I mean, who even has enough time to test both of them right now head to head? So, pick your favorite, test it out, see if it works. If not, act to the other one. But I know our developers are excited, and I think probably all developers are pretty excited. So it's definitely a hot week in the AI LLM news. What are your thoughts, Sam?

Sam Nadler [15:39]: Yeah. I just you know, it makes me think of my own workflow recently in the past couple weeks is literally just managing a few different agents. And I like I really, personally only have the capacity to, like, manage three or four at the same time, but that's kind of how I've been attempting it. But I think if I had some you know? I don't even I can't even having not used agent management platforms yet. I don't really know exactly how it's gonna work. But if it gives me the ability to, like, think through or effectively manage 20 different agents, I already feel, four x more productive with managing four. Like, how what is the productivity gains if I have this managerial level? They all have the same, security access, or I can manage different security accesses. They're having the same kind of the whatever UI, UX aesthetic feel, and they're just, able to share information between them. Seems like it could be extremely effective. I also find it really interesting. It's almost on the same day, within the same week, they're dropping these tools. The pace of development is is insane.

Jordan Metzner [16:44]: Yeah. I mean, they're aggressive. They nobody lets anybody have any free air. So, it's hard to tell if they have these things kind of in their back pocket or they're just like, this is the time to launch. But, we're seeing kind of feature and model parity launching on the same day, which means that there's obviously some type of, kind of alignment towards product development across these enterprises.

Sam Nadler [17:04]: Very cool. Anything else to cover in the news?

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