Everyday AI Podcast – An AI and ChatGPT Podcast - Ep 707: AI Search as the Personal OS: The Next Interface For Information

Episode Date: February 5, 2026

What if search becomes.... proactive? 😲Like, Google knows you so well that you don't even need to provide any details and it'll just deliver you the results. Sound far off? It's not, and Robby Stein is helping build that future. Robby is the VP of Product at Google Search and he joined Everyday AI to dish details on how the next era of AI search is about so much more than personalization. It's about Google becoming your personal Operating System that proactively delivers better results than you could. AI Search as the Personal OS: The Next Interface For Information -- An Everyday AI Chat with Jordan Wilson and Robby Stein.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTopics Covered in This Episode:Google Search powered by Gemini 3 AIPersonal Intelligence integration in Google SearchAI Mode for conversational search experienceSecure Gmail and Photos context in searchAgentic and proactive search capabilitiesContextual search features in Chrome browserMultimodal Gemini models enhancing searchAI-generated interactive tools and simulationsTimestamps:00:00 Building AI-Enhanced Search Experiences04:31 "AI-Powered Contextual Search Experience"08:31 "AI with Context and Privacy"12:50 "Advancing AI for Complex Queries"15:48 "AI Mode vs. Gemini Usage"18:25 "AI Assistance for Browsing Questions"20:44 "Stop Running AI Circles"25:22 "AI-Powered Personalized Assistance"27:40 "AI Tools Revolutionize User Experiences"30:04 "Ask Specifically for Better Results"Keywords: AI search, personal operating system, information interface, Google Search updates, Gemini 3, frontier model series, conversational AI, personaSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

This is the Everyday AI Show, the everyday podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. Meet Firefly AI Assistant, now live in Adobe Firefly, the All In One Creative AI Studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. If you listen to the show at all, you know, I'm a big advocate for take all my data and

I want my experience to be better. And I think now with some updates to Google search, we're finally seeing that. And for me, I love it. It saves so much time, right? When your search just knows who you are, what you want. You know, I think back to how maybe I was using the web 10 or 15 years. ago. And if you're anything like me, maybe you launched five, ten different Google searches. And then you had so many different tabs open. And you're like, man, maybe if only the search

just knew who I was and knew what I wanted. Well, now that's here with some new updates to Google search. And that's exactly what we're going to be talking about on today's show on how AI search might just be the new personal operating system in the next just interface for all of the information. All right. I hope you're excited for today's show. I am. as well. Welcome to Everyday AI. My name is Jordan Wilson. If you're new here, Everyday AI, it's for you. It's a daily live stream podcast and free daily newsletter, helping everyday business leaders like you and me. Keep up with all the AI updates because there's a ton and just how we can make sense of it to grow our companies and our careers.

So if that's what you're trying to do, it starts here with the unedited, unscripted, live stream podcast. But to take it to the next level, make sure you go to our website at your EverydayAI.com. We're going to be recapping the highlights from today's conversation and a whole lot more. So luckily, we have a great guest today, so you don't have to hear me rant on search. So a live stream audience, if you could, help me welcome to the show.

We have Robbie Stein, the VP of Product at Google Search. Robbie, thank you so much for joining the show. Hey, thanks for having me. All right. Your title kind of speaks to itself in terms of what you do, but for our audience that may not know,

tell us a little bit about what your role is at Google because just search in general seems like it's changing a lot. Yeah, I mean, I spend my time building new products and experiences for search. So the little thing, Google, you go to and type in a question or use a camera to ask a question as well and get information about anything on your mind now. And you're spending a lot of time, particularly the last two years, on how AI can help expand what's possible with search. So you can really ask anything and get effortless information. Whether you're bumping up against something on the street, take a picture of you go, what is that? to you're in the car and you're having a live conversation with search to, you know,

just typing something out in natural language now where you could put in like multiple sentences right into Google and get helpful info. So that's what happens by my time. So there's been so many updates. You know, I do this every day and it's even hard for me to keep up with. But, you know, maybe just bring our audience up to speed. If they've been, you know, sleeping under a Google search rock or maybe they, they haven't noticed. But just give us a quick update. I mean, everything in AI mode, some of the personalization, some new things with Gemini in Chrome. Just how much has search changed in the last few months? Yeah, I mean, it's been a pretty incredible set of new experiences that we've been able to roll out. And really, like I mentioned before,

it's really under this vision of trying to have it, make it extremely easy for you to ask anything on your mind and get information. And in order to do that, you need the best models. You have to have a frictionless, easy experience to ask these kinds of questions. And you want to be able to follow up and have a conversation, particularly for these really complex needs where AI is awesome. You're trying to work through a problem. You want advice about something. You're figuring out what to buy. Trying to make a decision about what you should do with something for your kids.

And it really is this back and forth. And now that's all possible right in the main search experiences. And I'll flag a few things. You know, we rolled out recently. I mean, one is that Google search is now powered by Frontier Model Series on Gemini 3 globally. So if you ask a question in Google and you see a little AI preview at the top or you'll right to our AI mode that will be powered by Gemini 3 models with really best in class, reasoning, understanding, and creative capabilities.

So it's really an amazing thing to have as part of a core kind of under the hood. And then when you actually go to use the product, we introduced two other things recently. One was it called Personal Intelligence, which is now out in a lab's experience for subscribers in the U.S. And what that allows you to do is to opt into an experience where you can securely connect to your Gmail and your photos and have these apps be context to your questions. And so you ask, hey, where should I go to dinner my first night on my trip? It may actually do like a query to find relevant information and go, oh, because you're going to New York this weekend, these are places that are in New York you're probably wondering about. and it has that context just naturally.

So it's pretty incredible. I can talk about some examples later on how I've been using it, but that's pretty profoundly changed, how I've used search. And the last thing we did was, you know, we're really trying to make it a lot easier to ask, have a conversation with search.

And what we're finding is that when we have an experience that allows for these follow-ups, people report having much larger, you know, better experiences and jumps in helpfulness and people's reported feeling that, you know, and they feel good about what they're seeing.

So when you, on mobile now, search and get the little AI overview preview, when you go to expand it, you're now in a conversational experience where you can have a back and forth, really easy to ask follow-up questions and go right to AI mode through that experience. And so that's just one of, you know, a handful of many things that we've done. You know, you talked about Chrome, and there's also new AI experiences that let you have asked questions about what you're seeing in the browser.

AI mode allows for it. And so does Gemini app. That's another big area we've been investing in. Many more to name, but there's just a handful from the last month. Yeah, and maybe I'd love to just jump into the personal intelligence a little bit more in AI mode. Because, you know, even kind of when I first experienced personal intelligence inside of Google Gemini, I was like, okay, yeah, this is amazing, not just, you know, the, I think most people have come to expect now that chatbots remember your previous conversations so you don't have to repeat yourself.

But oh, when it brings in my other context from, you know, my Gmail and elsewhere, right, inside of Gemini, that's amazing. But now having that in search in AI mode, at least to me, right, all of those, you know, follow-up searches. And even a lot of times the follow-up work that we do internally, right? Because, yeah, if you're searching something, you might have to bring up four, five, six, seven tabs. And then you're going through and you're putting it through your own personalization filters. and now this kind of does it for you, right? Like, can you change a little, or can you talk a little bit just about how big of a change that can be for people who are using this feature?

Yeah. I mean, I think this is, you know, a fundamental opportunity to really ask a completely different class of questions. I'll give you an example. I connected Pcon, so is this personal intelligence project, and I connected it. And I asked a question. I just said, what's a gym bag I should get? Because I'm shopping for a new gym bag.

And in the response, it was pretty incredible. Like using secure connection to Gmail, it was able to find other related context to the question. It knew the gym that I was going to. It knew the kinds of bags I bought recently. It actually referenced a purchase I made for like a work bag that was kind of its brand that I really like. And so it literally re-articulated like the vibe of kinds of products that I like and

that category and then recommended me a bunch of brands annex things that look they were so me like it just got me and that would have i could have explained all of that like you could theoretically type here's who i am here's the designs i like but you know no one's going to spend the time doing that and so it just allows for you to ask this kind of question and it kind of blew me away honestly um and there's and and so that's one example another is you know as i was working on some present ideas for my wife, I just like said her name. Like I just said like, okay, or I do this with friends all the time now. I just they had a birthday coming up. I just say like, oh, what should I get? You know, insert friend's name, whoever that might be. And they know who the, you know, the, the, the AI because it's connected to,

you know, emails I've had with this person, even activities I've done with this person, potentially in photos. It has this incredible context. And like you, I love to your intro. Like I want it, I want to give it as much context as possible because then the AI for me can be uniquely helpful. And help me with these things, but as little work as possible. Of course, it needs to be secure and privacy aware, and that's been designed from day one with that in mind. But then once that's all done, you can just let the AI just do a lot more for you. And you can ask these questions that are these kind of questions of taste, open-ended that you would have probably never, never asked before. Yeah. And even when you were just talking there, it seems like, are we at the point where

search is jumping over into assistant territory, right? Because like what you said there, that's as if you had a human personal assistant that follows you around and takes notes and makes your life easier. Are we at that point where, you know, we can start thinking of search as being, you know, assistant or agentic or is there still more work to be done until we can look at search that way? I think for search, the main focus has always been information. And so I think one area that we like to really think about is how can we be the most helpful to you? And it's usually about when you're learning about something, trying to make a decision about something. And that's really really where we play. And I think there's lots of AI products out there. And I think many spend

more time thinking about things like productivity use cases or maybe send a million emails for me for my business. Like search is less focused on that kind of construct. But I think over time, there's some themes that will cross all AI products. You know, one is obviously in this personalization. The two, the second one is also I think in this category of agentic, which people throw out all the time as a buzzword. I think I think of it mostly as a way of describing the technology that can do things on your behalf as agency. So if you want to buy something or research something, it might take you hours in the past,

but a little AI thing can go do run a process and do a bunch of research while you're sleeping and then send you a ping and say, hey, I finished your report. Or, hey, I found this cool deal for you. And again, this probably wouldn't be anything that you would personally do yourself because you're not going to like scour,

you know, thousands of websites looking at a specific price for every single shoe, but an AI could do that now, which is pretty neat. And so, like, in search, you know, we think about it as connected to completing the loop for these informational questions. So when you ask about, you know, where are cool restaurants to eat out in New York for my trip, you don't actually just want to know a list of cool restaurants.

You probably want to go to one. And so that's an opportunity, we think, to introduce something that we've built around booking reservations and an agentic thing where it connects to talk and open table and brings through live availability in terms of restaurants, in addition to the recommendations you get because the AI is able to know you well enough to recommend those things. That's pretty special.

And that allows you to then complete the actual task you had at hand. And so those are the kinds of agentic things that we're excited about in search. Obviously, that's going to be true very differently for other products. I can imagine productivity tools that are designed for work. They're focused very differently. Maybe they're going to go fill out a whole spreadsheet for you or they're going to do a bunch of lead gen research or whatever. But we're really focused on this, this everyday informational use case.

Yeah. And, you know, speaking of that, and I'll ask you this through maybe two different lenses, maybe one on the product side, you know, you, you know, building this technology that billions of people are eventually going to use and then on the consumer side. So, you know, one thing I think of is, you know, traditionally using Google search, it's always keyword intent, right? Or maybe that's just been, you know, ingrained in me for so long. here's my, you know, my three-word phrase, my five-word phrase that I'm going to put into Google.

And now it seems more like intent, right? This is what I meant or this is what I need, even if I don't know. How do you prepare and build for that? I'll ask you this side first. How do you prepare and build for that shift kind of before it becomes needed or before people, you know, know, know that they're going to be searching for an intent and not just keywords? So how do you, you know, and your colleagues at Google, you know, build that. kind of infrastructure for something that really hasn't existed yet.

Well, I guess there's a technology side, like you said, and consumer side. I guess on technology side, we needed to invest in models that could handle natural language questions of any complexity and also allow for follow-up questions, which is a different kind of technology. Because if you have a state full follow-up, meaning it takes the context of the prior question, the models and the technology needs to be able to handle that. And that's a different paradigm than a one-and-done question. And so we had to invest in the technology.

We had to research it. that we had to do the right evals and, you know, really look at study it and say, are we able to build a system that uses all of the, you know, stuff that people want as out of Google to develop really helpful responses to really specific questions to your point that are not just keywords. And so that was a partnership with the Gemini, you know, modeling team, obviously, to build what became AI overviews and AI mode. And then now we have this capability.

In terms of how it's implemented, I think what I think about. about as a product kind of product thinker is you want to build in the in the natural pads that already exist in the product. And so what's interesting is even late like kind of emerging use cases, there's always some evidence. There's a signature of it in the product. So for us, people were actually trying to use Google this way for a while. It wasn't a huge use case to your point. People just put a few words in typically because that's how most people do it. And if you put in like a 10 sentence question into Google, you probably get a results. not found, you know, a few years ago.

But people would ask questions that kind of were just questions. And it could be simple ones like, you know, what's the weather tomorrow? And then it would like show you the one box with the weather, right? But they did put that question in there. And so you have this base, this is latent behavior, this is emerging behavior, I guess. And we now then showed AI overviews with those. So you now get an AI response. Then the user learns over time, oh, if I ask these natural questions that are real like kind of conversational

questions with real English language, not keywordese, it's going to produce this AI thing, maybe. And so people learn that and then they do more of it. And then what we've seen is that this behavior or this learning grows and grows and grows. And that's one of the reasons AI overviews has grown to be such a large product used by so many people now is because people are learning that you can ask a regular question, put that right into Google and you'll see this thing. And then people find it very helpful.

And then with AI mode, it's kind of like, oh, I want more of that. I want to be able to control when I get the AI. So you can go right to the AI and ask these questions. And obviously the next step is people, once you get a response, you have a follow-up question, right? You want to keep going. And now you can do that in AI mode. So if you think about it, it's like there's been metaphors in the past around like a lily pond and kind of like are trying to build these little bridges or something like that.

But there's you kind of start somewhere and then you kind of bring someone along in your product versus trying to get them to do like an entirely new behavior or use a company. completely different product that they've never experienced and have no familiarity with. And, you know, it's funny because as you were just kind of describing that analogy, it kind of set off a different set of questions in even my own head, right? Because on the consumer side, you know, even for me now, and especially since some of these new personal intelligence features have been rolling out, I find myself thinking like, oh, well, should I be doing this in Gemini or should I be doing this in AI mode, right?

And like, you know, from the consumer side, I guess, is there, you know, do you think that there ever might be a time where someone just goes into AI mode and they're saying, hey, what should I be doing this week? Right. And just these much more open-ended questions. But when it does have access, you know, to your own kind of personal intelligence, is it ever going to creep into the like, oh, it's kind of could be used interchangeably with, you know, like the Gemini chatbot.

Yeah. And I think one exciting opportunity is that because personal intelligence works as a service in general, it works in the Gemini app, it works in search. So you should have your context with you. So to your point, regardless of what products you're using, it should be enriched with the information that's most helpful. And in Google, people typically ask informational questions. So for people, there's always billions of people using Google. If you're using Google every day, you have these questions. Now those questions can be even more relevant to you, hopefully.

And if you're using a chatbot or Gemini app, great. For people who are using those products, maybe people are using those for similar use cases or different ones like productivity or creativity or you're running your small business, whatever that might be. That has the context too. So what's nice is you don't really need to worry so much. It's kind of like use the products that you're used to for the things that you need it for, and they should be enhanced by personal intelligence in that context that's now possible. So a lot of what we've been talking about so far is kind of the conversation and the technology and the data that goes in before you land on a web page,

which is obviously a big part of search. But I do know that there's been some recent advancements to, okay, what happens after you land on that web page? Can you walk our audience through a little bit of some of the newer kind of AI powered features of, you know, that are now baked into Chrome and maybe how that might change, how we can or should use the web when we're on Chrome? Yeah, so there's a few really cool trends happening here.

One is, you call it a contextual search, but it's really, how does the AI kind of come with you so that it can help you in the places you need it? And one of them is on device. The other one is in the real world. And so let's talk about on device first. So two primary devices, you get your phone and your computer basically. And on both, we've really tried to make it easy for you to ask questions about what you're seeing. So if you're in Chrome through the core browser kind of URL bar, search bar, you can ask a question, go right to AI mode.

or you can get and ask questions about the web pages you're seeing as well. Gemini has something now where if you're a Gemini app user and just general user of Chrome, you can get this little kind of drawer slides out and you can ask a question of what you're seeing as well. And so what's nice is you can now, you know, if you're shopping, say is this the best price you can find? Or, you know, if you're looking at an article and you're confused about something,

you could say, like, hey, like, can you help explain this to me to say you're learning and you have like a homework page up, can you help me understand what's happening in question three? I'm a little confused. And now like an AI will pop out, hey, I can help you. And then boom, you got like a step by step of what to do,

how to think about a math problem, whatever you're doing. So that's really cool. On the phone, there's incredible products from, obviously, from the Google app to circle to search on Android, to the Gemini app that all have opportunities for you to bring your context right in.

So if you swipe up from, Android, you can ask a question about anything you see. You can circle it. A lot of time people are on social media. They'll circle something like, what's this outfit? You know, I want to buy this, this outfit, this look. Or someone, you know, see someone on social media as a new celebrity. Like, who is this person that everyone's mentioning?

And it gives information about them. So I think there's, that's kind of a big, big trend. And then in the real world, it's through the cameras. And it's through live. And so you kind of show AI what you're up to. And so we actually have opportunities in the Google app now where you can have a live session. Like while you're cooking, you can have your camera open and you could ask it questions about what it's seeing like live, like with you, which is pretty epic. You also do

it for homework and get help like right on right with you. And then you can go audio only. Like I do this all the time in the car and I'll just talk to it. Like I want to learn about something or get smart. And I'm effectively talking to Google in the same way and having a conversation. It's all talking to similar models with similar superpowers and capabilities. But it's kind of adapts to the context of your day. Adobe just introduced an entirely new way to create, bringing the power and precision of its creative suite into one conversational experience.

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And that's, you know, that's really powerful, I think, you know, like some of those examples. So if you're listening and you're like, okay, like how can I start using this? I think, Rob, you just gave us like a great example, right? Essentially, you could have Google and talk to it and go through your own, you know, layer of intelligence right there. But, you know, one thing I do have to ask you, though, because, you know, it's 2026. We can't not, you know, talk about agents. You know, it'd be real bad on me if I didn't ask you about this, right?

But, you know, how do you think, you know, proactive search or, you know, even agentic search, how is that starting to, you know, reveal itself within the different Google search products? And, you know, how might we expect that to continue to change throughout the rest of the year? For us, the way we think about it is we're trying to help you with usually complete the task you're set out to do. And for Google, the thing we see the most, people researching, let's say restaurants, travel opportunities, booking local services. Those are the ones where when people ask questions, you want to help person complete the loop. You know, like another example might be getting movie tickets or event tickets. And so our first agents have been in those spaces.

And so when you ask about cool restaurants, we show you available open table, like I mentioned, availability. If you want to look, book a haircut, it can help you find availability. And if they don't have a website, it could even use as really other cool AI that to call the local business for you and then get back to you over email about what's going on all through the agent, which is pretty epic too. So I think that's where you're seeing us invest right now. But I do think overall, if you kind of add up what that means, it means that search is becoming more capable of doing things on your behalf or doing things when you're not, you know, direct. asking it to do every single task, whether that's research.

So, you know, one question in search, gray on mode actually kicks off in the back end, like potentially dozens of Google queries, actually, behind the scenes. So it's already happening where the models are doing more work for you than what you originally asked for to try to be better at solving your need. But you can kind of take it a step further and help take actions on your behalf down the road. Yeah. And that part for me, right, someone that dorks out over this stuff every day, is extremely exciting, right? And I think at least when it comes to the chat bot side, right, my own brain is now,

you know, shifted to I'm orchestrating, right? I'm giving agents as much data. They're going off and doing work for me at all hours of the day and I go back in and check on them. Do you think we ever might get to that point on search, right, where, hey, you know, Google knows that you need to start looking for gifts for your wife or, you know, you need to start planning this trip. Hey, Jordan, this trip is a week out. out and you don't have a hotel yet. Here's some things that you should be looking at. Like, is that going to be kind of how we might be interacting with search in the future? Might it be that proactive that it's helping us solve issues before we even know that they're

issues? I do think that's a huge opportunity for search to be more useful for you. I mean, I think, again, the way we think about it is it's really in the domains that people want Google to be helpful. And so for search, it's really in these kinds of spaces that I mentioned. learning, it's education, it's, you know, asking questions about travel, food, TV entertainment questions, sports. Those are things that we see all the time. And there's an opportunity to, let's say, you're doing your fantasy league. Like one idea is like, how could we be helpful?

Like every Sunday you got to set your whatever, every, you know, Friday, you got to set your team. Okay, well, knowing that, like, how could we have an agent do research as an example and help make recommendations or even like help you just do it? at some level. Like, those are the kinds of things that will be possible soon with the right amount of reasoning, intelligence, compute, and of course, personal intelligence to understand you and kind of your personal needs. And so that's pretty awesome. It's just one small example, but I think we have an opportunity to do a lot more for people in this age that combines kind of like the combination of AI, personal, your context of like you and these tasks that can do

things and do research asynchronously behind the scenes. That is a pretty unique mashup. of capabilities and I would look for some pretty exciting products to come from that. Yeah. And, you know, speaking of exciting products, you know, Google's obviously been on a complete tear recently, but even some of the some of the newer updates, right, things like, you know, the Genie 3 world model and, you know, Flash being, you know, more like multimodal and, you know, just being more multimodal by default. How does this change maybe even what's possible, right? When you do have, you know, Google is much more than just a, you know, a text. base, you know, or Gemini is much more than just a text-based large language model, right?

How do all of these other products, you know, under the Google umbrella maybe change what's possible for search? Yeah, what's nice is because it's built on the Gemini three model series, you know, search and AI experiences in search will benefit from all that innovation. And so in the future, as the models, for example, have gotten a really good at tool use and things like instruction following. So if you ask it to do something, it kind of understands more intuitively what you want. That's awesome because that allows us to innovate much faster and be able to just through a little bit of information, have the model do more instead of doing like very heavy training and other processes that were just harder and took a long time.

So it should hopefully increase the pace of innovation and also just let it be more functional because a lot of these are now getting encoded more as capabilities. So let's say you can use a tool. So you could get a model and you could define a tool. You could give it an API call. You could give it a spec. say, hey, whenever a user asks about this question, use this API, here's the information that's available in it, and you can return this information, and great. Okay, well, you just enhanced the whole product without changing the model.

You just registered this, like, tool that does this thing for your company, if you're a builder out there, or for your use case, if you're building a business or an AI service for, you know, accountants or lawyers or whoever, you could, you could add that now arbitrarily, and you just added like a killer feature to your product without having to upgrade your model, fine tune your model or do anything, which is really amazing. And so I do feel like you're going to see this pretty fast, this acceleration. And as busying and dizzying as it is to follow AI, we'll be able to do even more than ever. But the last thing I'll say, which is pretty neat is the user will be able to direct that more than ever as well.

So if you say, like, hey, help me learn about Lyft in physics for aviation, the models now are now starting to be capable to code and actually build its own tools for you. And that's one of the neatest things with Gemini 3 Pro that we've had where it's generating these little simulations. And it will code up on the fly a little like experience that it shows how like a little airplane flying with arrows on lift. And it has some sliders that show like wind speed and all these things. And if you change them, it changes the direction, the lift and the angle of the plane. It's like pretty ridiculous. Like, versus trying, imagine trying to explain lift to someone purely through text. Like, that's, it's hard.

And so the model decided it's going to code up this little thing. And so that's going to let users be in control and directing these technologies. And then the model will be able to reason about and go, hey, what's the most helpful thing this user needs at this moment and just code it for you, basically? And that's a very, that's obviously very new frontier for us, but it is, is, um, unlocks even more things that we don't have to design as product builders. It's kind of like give you the tools. And then you can, you can kind of direct it as you need to. Yeah. The, the, the, the interactive, results that I've been getting from, you know, AI mode, definitely changing how I'm learning and consuming information. But, you know, Robbie, as we wrap up here, because we've covered a lot,

but maybe I want to rewind and just, you know, as we finish here, what's your one back? piece of advice for people that are, you know, looking at, you know, search and they're like, okay, with all of these new features, I want to get more out of search. I want to save time. What's your best piece of advice for them? I think the main thing is to get comfortable asking exactly the thing that you want with as much specificity as you want. And I think people are limiting themselves right now.

Like even if you're looking up, say, restaurants in Nashville for a trip, people will just write still tight. just so used to this kind of habit. They'll just say restaurants in Nashville and then they want to browse. But if you said restaurants in Nashville for a friend trip with six people, focusing on outdoor events that I could quickly afterwards go to a music venue to and one of us has a dog and one of us has an allergy and we all hate this kind of food, you can literally put all of that into Google now.

And very few people probably do, but you should because now that's where we're going in terms of the complexity of what we can handle. And I think if you want to get the most out of Google, that's the first thing I would recommend. And the second is there's increasingly a set of these AI tools that if you go to AI mode or in this core search box, now you can hit the plus and see kind of what's there between Nanobanana and these different tools like pro and different models. You can just have a lot of power to start uploading things. you can ask to generate imagery or create an infographic for you,

explaining how stocks have changed or something, using data that it could find. Your creativity is your own kind of limitation and slash opportunity. And I would encourage you to poke around just what's possible. I love that. Great, great advice from someone helping billions of people use the technology. So, Robbie, thank you so much for taking time out of your day to join the Everyday AI show. We really appreciate it.

Thank you. Thanks so much for having me. All right. And if you miss anything, y'all, we're going to have it all in our newsletter. So don't worry if you're walking your dog and you're like, wait, what was that? Robbie said, it's all going to be in the newsletter. So if you haven't already, please go to your everyday AI. Thanks for tuning in.

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