Aarush Selvan: recommendation

Transcript context

…What's the maximum conversation length that you allow or design for? We don't have any hard limits on the... How many turns you can do. One thing I will say is most users don't go very deep right now. Yeah. It might just be that it takes a while to get comfortable. And then over time, you start pushing it further and further. But like, right now, we don't see a ton of users. I think the way that you visually present it suggests that you stop when the doc is created. Right. So you don't... You don't actually really encourage... The UI doesn't encourage ongoing chats as though it was like a project. Right. I think there's definitely some things we can do on the UX side to basically invite the user to be like, Hey, this is the starting point. Now let's keep going together. Like, where else would you like to explore? So I think there's definitely some explorations we could do there. I think the... In terms of sort of how deep... I don't know. We've seen people internally just really push this thing. Yeah. To quite... I think the other thing I think will change with time is people kind of uncovering different ways to use deep research as well. Like for the wedding planning thing, for example. It's not one of the, you know, first thing that comes to mind when we tell people about this product. So that's another thing I think as people explore and find that this can do these various different kinds of things. Some of this can naturally lead to longer conversations. And even for us, right? When we dogfooded this, we saw people use it in, like, ways we hadn't really thought of before. So that was because this was, like, a little new. Like, we didn't know, like, will users wait for five minutes? What kind of tasks will... Are they, you know, going to try for something like that takes five minutes? So our primary goal was not to specialize in a particular vertical or target one type of user. We just wanted to put this in the hands of, like... Like, we had, like... This busy parent persona and, like, various different user profiles and see, like, what people try to use it for and learn more from that. And how does the ontology of the DR use case tie back to, like, the Google main product use cases? So you mentioned shopping as one ontology, right? There's also Google Shopping. Yeah. To me, this sounds like a much better way to do shopping than going on Google Shopping and looking at the wall of items. How do you collaborate internally to figure out where AI goes?…

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