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…So if you think about agents more broadly, there's like a lot of things. Right. That go into it. What do you think are like the most valuable pieces that people should be spending time on? Like things that come to mind that I'm seeing a lot of early stage companies is like memory, you know, like we already touched on evals. We touched a little bit on a tool call. There's kind of like the odd piece, like should this agent be able to access this? If yes, how do you verify that? What are things that you want more people to work on that will be helpful to you? I can take a stab at this from the lens of like deep research. Right. Like I think some of the things that we're really interested in in how we can push this agent are one like similar to memories, like personalization. Right. Like if I'm giving you a research report, the way I would give it to you if you're a 15 year old in high school should be totally different to the way I give it to you if you're like a PhD or postdoc. Right. You can prompt it. You can prompt it. Right. But the second thing, though, is like it should like ideally know where you're at and like everything, you know, up to that point. Right. And kind of further customized. Right. Have this understanding of like where you are in your learning journeys. I think modality will be also really interesting. Like right now we're text in, text out. We should go multimodal in. Right. But also multimodal out. Right. Like I would love if my reports are not just text, but like charts, maps, images, like make it super interactive and multimodal. Right. And optimized for the type of consumption. Right. So the way in which I might put together an academic paper should be totally different to the way I'm trying to do like a learning program for a kid. Right. And just the way it's structured. Ideally, like you want to do things with generative UI and things like that to really customize reports. I think those are definitely things that I'm personally interested when it comes to like a research agent. I think the other part that's super important is just like we will reach the limits of the open web and you want to be able to like a lot of the things that people care about are things that are in their own documents. Their own corpuses, things that are within subscriptions that they personally really care about. Like especially as you go more niche into specific industries. And ideally, you want ways for people to be able to complement their deep research experience with that content in order to further customize their answers. There's two answers to this. So one is I feel in terms of like the approach for us, at least for me, rather trying to figure out the core mission for like an agent building that. I feel like it's still early days for us. Like to try to platformatize or like try to build these. Oh, there are these five horizontal pieces and you can plug and play and build your own agent. My personal opinion is we are not there yet. In order to build a super engaging agent, I would if I were to start thinking of a new idea, I would I would start from the idea and try to just just do that one thing really well. Yes, at some point there will be a time where like these common pieces can be pulled out. And then. Yeah. And, you know, platformatized. I know there's a lot of work across companies and in the open source community about providing these tools to really build agents very easily. I think those are super useful to start building agents. But at some point, once those tools enable you to build the basic layers, I think me as an individual would would, you know, try to focus on really curating one experience before going super broad. Yeah.…

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