Short answer: Ivan Lee, who worked on Siri at Apple, says Muse was the first personal agent to take a real pass using your context. Jordan Metzner says Google is underestimated because it is already connected to your data.
Watch this answer from Episode 56 (starts at 17:34) · Episode 56 notes and transcript
From Episode 56: He Built Siri at Apple. Now His Private AI Runs Inside the FBI, Google, and Netflix., starting at 17:34.
Sam Nadler [17:33]: Yeah. So, I think we've talked about it a little bit, but, Meta reporting over 10,000,000 Muse users. I know, Jordan, you've used Muse a little bit. Also, Anthropic, I hope you guys can see this, announced Duet, if I'm saying that right, another agent to take on Muse and Dots. We've been using Grokbot, recently. We have some, like, I think, pretty successful recent use cases in the last couple weeks, getting our teammates to leverage, or deploy some of these in their routine workflows. I've been curious, have you used it? I'm assuming you have. Which tool is your favorite? What do you like about it? And Jordan, we'll we'll shift to you after that.
Ivan Lee [18:25]: Yeah. I love these. I didn't mention earlier when I was at Apple. I work on Siri, so I've always been a big fan of personal agents, and I think that this technology enables it more than ever. I think what's most interesting here is that enterprise agents have really charged ahead. Right? It started with coding agents. Every engineer was picking up coding agents at the beginning of the year. That was kind of the extreme product market fit that was first found here. Now we're seeing agents for customer support, service, marketing, sales, etcetera. And then Muse came in because even as all of this was happening in the first nine months of the year, there were no personal agents. We've been promised these travel agents. We've been promised these things that, like, book weddings for you and do all this party planning and everything else, and they weren't really capable. And I think Muse kinda, like, figured out a UI, has all this context direct from you... From your Instagram, from your Messenger conversations, and it was able to kind of take the first pass at it.
Ivan Lee [19:26]: And I think it's been fascinating to me, again, as a product manager to see the first wave of consumer agents come about. I am currently on the wait list for Anthropic. Anthropic is historically more enterprise coded, and so I'm curious what their take on it is going to be like. I didn't see a cute mascot associated with the duet launch. So I think this is very interesting. We benefited as a company a lot from just consumer adoption. Like, a lot of our clients may not have been using AI at work, but they were starting to use ChatGPT and Gemini at home, and they were wondering how they could bring it to work. I think this kind of thing is only beneficial for us because now they're going to start using agents at home and wondering how they can bring similar agents to work.
Jordan Metzner [20:10]: Yeah. That's interesting. I've tried a few of them already. Yeah. I've liked Rockbot the best. Just maybe this is moving really fast, and I feel like what I like today might not like tomorrow, and it's gonna move really, really quickly, and then integrate it to data. I think we haven't seen Google's solution here, and I think we're highly underestimating Google because it's already connected to all these data sources like your email in our case, you know. So we're on Google stack. Right? So for us, that's very helpful. I think, obviously, we haven't seen a Microsoft solution, which obviously we'll probably see, like, an updated copilot here that can do this kind of stuff. And to your point, like, then who will be the winner we've talked about at the beginning and take all the tokens away. Right? And so it's kinda looks like this, arms race between different players. It is interesting how Facebook has, like, kind of gotten...
Jordan Metzner [21:00]: Been able to get ahead in this space, and even Elon too. I mean, it looks like, Dots from OpenAI is not, like, as popular as these other platforms are. And I think in the enterprise, yeah, it's doing so much work for me. I think it... It's gonna start to redefine work, to your point at the beginning, and it's a new definition. But, yeah, super fun and exciting.
Ivan Lee [21:24]: Yeah. And kinda final hot take there, I think agents are just universally a better fit for the enterprise than they are for the consumer world at this point. Like, so much of white collar work is just repetitive tasks with data inputs and data outputs. Right? And it's... Like, we work with clients that have existing operational playbooks. They didn't build it for agents. They built it to train the next human employee. And so that... Those playbooks are already in place. Whereas for consumer, you and I will have different preferences on which airport, what seat we want on the airplane, and all these other things. So I think there... We're gonna see a lot more market fit for enterprise agents for the next few years before consumer really begins to take off.
