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Aakash GuptaAakash Gupta

These 3 AI Browsers make Chrome Feel useless

Naman Pandey breaks down AI agent browsers head-to-head. ChatGPT Atlas vs Perplexity Comet vs Arc Dia. Live demos, exact workflows, and which browser wins for each PM use case. Full Writeup: https://www.news.aakashg.com/p/naman-pandey-podcast --- Timestamps: 0:00 - Intro 1:53 - Overview of All Three Browsers 3:00 - Installing the Browsers 3:39 - Demo: Tab Context for Research 6:01 - Atlas: Auto-Filling Job Applications 8:08 - Atlas: LinkedIn Scraping for Outreach 10:46 - Ads 12:43 - Atlas: Gmail Integration 17:12 - Productivity Use Cases for PMs 17:34 - Perplexity Comet: Research & Shopping 27:07 - Dia: YouTube Video Summarization 30:17 - Ads 33:03 - Dia: Jira & Atlassian Integration 38:39 - Weaknesses of Each Browser 43:27 - Building the Use Case Mind Map 48:41 - Final Rankings: Which Browser Wins 53:39 - Advanced Tips & Tricks 55:55 - Outro --- πŸ† Thanks to our sponsors: 1. Jira Product Discovery: Plan with purpose, ship with confidence - https://www.atlassian.com/software/jira/product-discovery 2. Mobbin: Discover real-world design inspiration - http://mobbin.com/aakash 3. Pendo: the #1 Software Experience Management Platform - http://www.pendo.com/aakash 4. Product Faculty: Get $550 off the AI PM Certification with code AAKASH550C7 - https://maven.com/product-faculty/ai-product-management-certification?promoCode=AAKASH550C7 5. Land PM job: 12-week experience to master getting a PM job - https://www.landpmjob.com/ --- Key Takeaways: 1. AI agent browsers are underhyped for PMs - Only 2 out of 500 PMs at Berkeley were using them. If you're doing web research, competitor analysis, or data scraping, you're leaving hours on the table every week. 2. The three browsers serve different purposes - ChatGPT Atlas for deep research across multiple pages. Perplexity Comet for real-time quick lookups. Arc Dia for workflow automation. They're not competing head-to-head. 3. Atlas dominates data extraction - Scrape YC companies, find recruiters on LinkedIn, build competitor comparison tables. What took 2-3 hours now takes 10 minutes with one prompt. 4. Comet wins on speed for real-time info - Stock prices, sports scores, breaking news. It's the fastest by far. Perfect for quick research sprints across Reddit, Twitter, and news sites. 5. Dia automates repeated workflows - Monitor competitor pricing weekly. Document onboarding flows. Generate recurring reports. Set it once, let it run on schedule. 6. Tab context is the hidden superpower - Open 5 competitor sites. Ask "What's the common pricing strategy?" The AI reads all tabs and synthesizes insights. Eliminates copy-paste friction. 7. The job seeker use case is mind-blowing - "Find 20 PMs at Google, get their LinkedIn profiles, draft personalized DMs." Atlas does this in 15 minutes. Used to take 2-3 hours manually. 8. Onboarding analysis becomes trivial - "Go through Notion's signup flow, capture screenshots, document each step." Dia does this in 5-10 minutes. Perfect for competitive analysis. 9. Don't log into sensitive accounts - Banking, email, social media with private data - keep these in your regular browser. Use AI browsers only for public research and data extraction. 10. The slowness matters less than you think - Yes, they're slow compared to Google. But if the alternative is 2 hours of manual work, waiting 10 minutes is a massive win. Batch requests and walk away. --- πŸ‘¨β€πŸ’» Where to find Naman Pandey: LinkedIn: https://www.linkedin.com/in/namanpandey0796/ Podcast: https://www.youtube.com/@ReadySetDoPodcast πŸ‘¨β€πŸ’» Where to find Aakash: Twitter: https://www.x.com/aakashg0 LinkedIn: https://www.linkedin.com/in/aagupta/ Newsletter: https://www.news.aakashg.com #aibrowsers #aipm --- 🧠 About Product Growth: The world's largest podcast focused solely on product + growth, with over 200K+ listeners. πŸ”” Subscribe and turn on notifications to get more videos like this.

Naman PandeyguestAakash Guptahost
Jan 29, 202657mWatch on YouTube β†—

EVERY SPOKEN WORD

  1. 0:00 – 1:53

    Intro

    1. NP

      We are going to be putting the three browsers, being Perplexity, Atlas, and Dia head to head against each other, and we'll find out which is the best for most people for most purposes.

    2. AG

      I've brought in Naman Pandey. Today, he is dropping all the sauce, the use cases to use, the areas they fall over, so that you can be more productive as a PM with an AI browser.

    3. NP

      So once you select your resume, you, all you have to do is upload your resume and say, "Fill out this application for me."

    4. AG

      Wow, that's a dream for job seekers.

    5. NP

      These are all extremely expensive operations when it comes to token optimization. It kind of breaks my brain that how is this stuff free, like-

    6. AG

      Do the browsers hallucinate as much as the LLMs?

    7. NP

      I have not found many cases of hallucination at all. ChatGPT Atlas to be the winner here. Perplexity is a close second just because you could argue that a lot of time is spent doing research, which it completely automates really well. And then finally you'll have Dia. These are the most insane AI tools I've tried yet. The use cases are literally endless.

    8. AG

      So we just went through the strengths of all the browsers. What are the weaknesses? What should you not be using these browsers for? Naman, welcome to the podcast.

    9. NP

      Thanks for having me, Aakash.

    10. AG

      What are we gonna do today?

    11. NP

      We are going to be putting the three browsers, being Perplexity, Atlas, and Dia head to head against each other, and we'll find out which is the best for most people for most purposes.

    12. AG

      All right, guys. So watch until the end to see his recommendation for the best. Can you walk us through some examples first?

    13. NP

      Sure can. So before we jump in, in terms of an overview, I would like to share the broadest overview level use cases for each. So from, you know, the, like a 300-foot view here is that Perplexity Comet is your go-to for most research-oriented tasks, especially those that need to be real time. Dia does a really good job at remembering context, especially because it treats all of your open

  2. 1:53 – 3:00

    Overview of All Three Browsers

    1. NP

      tabs as its operating system itself, which is super unique, and the other two browsers don't really do that. Finally, ChatGPT Atlas is the most agentic one out there. So if you're trying to perform operations on your web browser instead of just aggregating information and such, it will probably be your pick if that's your use case.

    2. AG

      Okay, awesome. Looking forward to seeing these live.

    3. NP

      Yep. So right off the bat, to install each of them, all we have to do is for Perplexity, you just navigate to perplexity.ai/downloadcomet. It'll bring you to this page right here. You just click that, and it does that for you. For ChatGPT, log in like you would normally, except you'll find Atlas here in the top left corner. If you click that, it'll give you the option to download. For Dia, if you just simply, you know, Google Dia, it'll bring you to this website. It's called diabrowser.com/gettingstarted. And then all you have to do is hit this top right icon, and it'll download. If you have a Mac, you'll get the DMG. For all three, all you have to do is drag it into your applications folder, and you're good to go.

    4. AG

      Simple enough.

    5. NP

      All right. So now then jumping into the use cases themselves, the first one I had here was, we'll start off with actually something

  3. 3:00 – 3:39

    Installing the Browsers

    1. NP

      that all three can do equally, right? Just to kind of temper expectations around possibilities, for lack of a better word. So say that you're trying to research Nvidia stock, right? So you fire up your... This is just what the interface looks like. So if I open a new tab, it just starts off like that, which I always thought was interesting because, you know, there is no homepage, so to speak. So that takes a while getting used to. But say you have-- You're doing your research on Nvidia ticker that updates in real time. You have a different tab that goes over, I just wanted it to grab the latest earnings call transcript, which it did for me, along with all the links that it needed, and then any stock news. And then finally, just another play on that in terms

  4. 3:39 – 6:01

    Demo: Tab Context for Research

    1. NP

      of what Google's Gemini 3 release d- means for, you know, the stock as it pertains. Now, if you go to your new tab and all you have to do is generate a succinct, and f- pardon my typing if I make any typos, one-pager for all stock-related info that I just went through. Put in any graphics and such as needed. And then if you just run that. So firstly, notice how I have a bunch of tabs here that do not pertain to stocks, right? Except obviously it is smart enough to find out which tabs that I'm talking about, so it grouped them together. This is really good if you're trying to write stuff, if you're, like, a creator of any sort, and if you have a bunch of tabs open to do research. And then it combined all of the information that was pertinent for my ask into, as I had said, just a one-pager. And yeah, the reason I'm starting with this is that all three browsers can do this. This is not something that only Atlas can do. This is just to kind of get you guys thinking in terms of how to use all of your open tabs and kind of consolidate information in a way that's really useful that all, all three of these browsers really excel at.

    2. AG

      Yeah. Awesome. So just to confirm, all three browsers can look at your open tabs.

    3. NP

      Uh-huh.

    4. AG

      And the key here, the key here versus regular ChatGPT is you don't have to, like, paste it in or anything like that. It can just go fetch it itself.

    5. NP

      Exactly. Yep. Mm-hmm.

    6. AG

      Cool.

    7. NP

      Okay. So now having covered that, we'll, we'll be getting into a little bit some of the more niche-er use cases. Because Atlas is open, I'll just start with that. One thing that a lot of people, I don't know, maybe I speak for no one, but I struggle with, is filling out forms online, right? I don't think there's anyone that is like, "Oh, yes, I love online forms. Give me all the forms that you have to fill out." So what I have here is just a made-up data engineering job posting. Now, if you're like me, until, like, you know, three years ago when I was trying to apply to jobs, I would just manually, you know, enter all of this information, attach my resume. What if I told you, though, that I actually have not filled out a single one of these fields? All of this was done for me by this browser. All right. So you're presented with this job opening, right? And you don't, you don't want to fill all of it out. All you have to do is upload your latest resume, because obviously it needs some context in order to know

  5. 6:01 – 8:08

    Atlas: Auto-Filling Job Applications

    1. NP

      what to fill out. So if you just, maybe we can clip this part. Should be somewhere here. Okay, there you go. So once you select your resume, you, all you have to do is upload your resume and say, "Fill out this application for me."That's it. Hit Enter. And it's kind of spooky/somewhat creepy to sit and watch this, but you will actually see it fill out your information in real time all the way to the end. And a cool add-on here is that for any fields where it expects you to enter information, like why do you want to work here, what in your experience makes you good for this job, it will, because it's generative AI, automatically fill that and fill in those fields as well, even though those were not explicitly mentioned on your resume.

    2. AG

      Wow, that's a dream for job seekers. I mean, especially if you ever go to, like, a Workday page, you'll upload your resume, and then it still makes you fill out [chuckles] all the same fields all over again. Yes, the AI might be kind of slow, but at least it'll do it for you, and that gets to the point of the skill that people need to develop of managing these AI agents, multiple AI agents. Set it off on a task, then go do something else, then come back and quickly pick up the context again.

    3. NP

      Absolutely. That's a wonderful call-out. The other really big and annoying time sink when it comes to, you know, not just job seekers, but you can be an entrepreneur that's trying to find people to reach out to, you can be, you know, like, a product lead at a company that's trying to network with other product leads at a similar company. Pretty much any LinkedIn scraping or, for that matter, really any website scraping use without you needing to learn how to make bots because, yeah, it's not the hardest thing in the world to learn how to make scraper bots, but most, you know, non-technical people would find that fairly challenging. Atlas solves that completely. You now have one of the world's most powerful scrapers just in your back pocket to do whatever you want with it as you please. So in this use case here, and this is not my LinkedIn, this is just, like, a burner LinkedIn that I have. What I was doing earlier to show Aakash was, in my case, so I have a podcast channel, right? A big pain point for me is to find out who

  6. 8:08 – 10:46

    Atlas: LinkedIn Scraping for Outreach

    1. NP

      to reach out to as potential guests, and I can rerun this query for us here. But essentially what I asked it to do was scrape LinkedIn and find people I can DM for my podcast, ReadySetDoPodcast.com. Keep in mind here that I actually didn't even explain to it what my podcast is, what's the point, like, what type of guests do I want. Because it's an agentic browser, it is really good at filling in those ambiguity gaps that exist based on user requests. Like, sure, it would help it if you told it what the podcast was about, but because you gave it a website, it is now smart enough to go to that website, fill in that gap in terms of what type of guests I might be requesting for, and then scrape LinkedIn. As you'll see here, even though it won't like the verbiage of scrape, it'll be like, "Oh, I can't scrape LinkedIn." At least that's what it did the first time. Maybe it's learnt its lesson now. But yeah, so what it'll do, and you'll see the cursor move around here, is that it'll search through the LinkedIn platform, go on profiles, and then generate that list for you, along with links for the people that you're trying to reach out to. Now, this is just the top level, right? Here's where it gets really, really cool. Think of all the pages or all the websites that you go to where the contact information is hidden behind another button, right? So if I go to my own LinkedIn, almost every LinkedIn profile has a contact info, but you need to click it to make it accessible. Now, because, as I was saying, you have the power of Atlas' agentic capabilities in your back pocket, you can instruct it to go to whatever it is that you're trying to find, whatever niche of people it might be, click their contact info, copy their emails or phone numbers, and generate that in an Excel sheet for you to be ready to really do whatever you want with. I want to stress on really how powerful this is because even if you had the ab- ability to make bots, it is close to impossible to replicate this type of smart, click-driven behavior as it stands today.

    2. AG

      Pretty cool. Today's episode is brought to you by Jira Product Discovery. If you're like most product managers, you're probably in Jira, tracking tickets and managing the backlog. But what about everything that happens before delivery? Jira Product Discovery helps you move your discovery, prioritization, and even roadmapping work out of spreadsheets and into a purpose-built tool designed for product teams. Capture insights, prioritize what matters, and create roadmaps you can easily tailor for any audience. And because it's built to work with Jira, everything stays connected from idea to delivery. Used by product teams at Canva, Deliveroo, and even The Economist, check out why and try it for free today at atlassian.com/product-discovery. That's

  7. 10:46 – 12:43

    Ads

    1. AG

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    2. NP

      Yep. So as I said, it will say that it can't assist with scraping LinkedIn because it doesn't like that term. You-- All you have to be, like, is use your agent mode to do it.And it'll be like, "Oh, cool. Yeah, I got it. I can do that, uh, part pretty easily." [chuckles] Um-

    3. AG

      Sometimes you just need to remind it of its capabilities.

    4. NP

      Uh, exactly. And as I was saying earlier, it, it gave me the same error, and all it wa- It told me itself, actually, that, yeah, "Do you want me to use your browser to gather? Yes equals I agree trigger. I..." Yeah, "I trigger agent mode." And I just said yes, and it was like, "Sure, I'll do it." So they have some, I guess, guardrails around how it looks to the outside world, right? 'Cause LinkedIn, if I were LinkedIn, I'd be pretty pissed off, right?

  8. 12:43 – 17:12

    Atlas: Gmail Integration

    1. NP

      'Cause I'd be like, "What the hell, guys?" We have measures against this, which I think, which is why to plan against that, they do it this way to, you know, discourage people from feeling like, oh, they gamed the system or they're better than LinkedIn. That's just my POV having spent some time with these tools. But yeah, there's a lot of really interesting under the layer type of stuff which you explore the more you play with them. It's really fascinating. Like, I don't know, it, it's just so much fun to play around with these tools. Um, another really use case which is slightly different is, um, compared to tools where you're logging in. So I guess what I didn't show on my LinkedIn demo was it'll make you log in. So in agent mode, it'll ask you to enter your email and password, and only then can it access any of the information that you were seeing. Now, if you're one of those people that is like, "Yeah, no, uh, that's, you know, not okay with me. There's, like, privacy issues with that. I don't really want to do that," totally makes sense. They have custom inbuilt support with more famous tools such as Gmail, in which case you don't actually have to log in. So once you open just, like, gmail.com on your browser, we'll just go there, and then if you hit your little Ask GPT here, you'll find that... Yeah, so I already connected, so which is why I didn't show up that option for me. But you'll find a custom Gmail connection button here, and all you have to do is just, uh, um, authorize that s- so as to give ChatGPT access to your Gmail. And now that opens the door to some really, really interesting use cases that are built off of your workflows. So I'm even going deeper than just stuff like find out availability for a certain teammate or look through my calendar to find when I can block time for deep work. I'm not even trying to get into that because those are pretty s- obvious use cases. Something that I found really helpful was, and I struggle with this, [chuckles] um, just finding out what subscriptions I have enabled, right? Because you'll start a subscription, seven days go by, you never cancel it, and three years later you're still paying that money.

    2. AG

      [chuckles]

    3. NP

      Well, guess what? Whether you remember or not, your Gmail remembers, 'cause those companies are forced to send your receipts for your subscription to your Gmail. Now, all you have to do here is look through all of my emails, and I have that written on this earlier tab, actually. Um, look through all of my emails and tell me all of the recurring expenses that I have, and you can even have it make a list. And you can even go a step further and ask it to link the customer care websites or phone numbers or whatever the case might be for all of your services.

    4. AG

      Mm-hmm.

    5. NP

      And then, you know, as you can imagine, it'll just go through your entire, um, history. So for me, it found Google One, it found YouTube, and then stuff it wasn't sure about like Priority Pass, Capital One Travel. It's really comprehensive. Like, it'll give you extra information and you'll be like, "Okay, that's not an expense." Sure, right, but at least you'll have the peace of mind knowing that all of the potential use cases were covered.

    6. AG

      This reminds me of how Demis Hassabis, the CEO of Google DeepMind, said one of the key things about AI is that a human is really good at going and looking at, let's say, the first 10 search results, but AI is really good at going and looking at 1,000 things. And this is a very cool use case because you can set AI free on your thousands of emails that you haven't been able to check.

    7. NP

      I mean, it also kind of opens the door to slightly more dystopian, Black Mirror-ish ideas that I may or may not have had. Like, I don't know, say you have a person that is no longer with us, right? Except you can point this tool to their email if you have access to that and build a bot that can forever talk to them. You know, I don't know if you want to keep that, but it's like, yeah, like your imagination is where the capabilities end. It's just unbelievable the type of things that you can do with these agents as they are today, and this is the worst they'll ever be is another thing that I have to remind myself of. Like, they're only going to get better from here.

    8. AG

      Awesome. How else can we become productive with this tool?

    9. NP

      So when it came to all of the agentic type use cases, I believe that should be enough to get at least some juices flowing i- in our viewers in terms of, you know, potential use cases. If it's okay with you, I'd love to pivot to Perplexity and do kind of a deeper dive on some of what it is, you know, better at and the use cases that make more sense for it.

    10. AG

      Yeah, I wanna get to comparing these tools. Let's do it.

    11. NP

      All right. So next up we have Perplexity Comet. To, like, kick it off from what I was saying in our overview here, it's really good if you want to consolidate and do research on a bunch of tabs that you have open. Now, because we are very close to Thanksgiving, I figured it would make sense to involve a use case that is, you know, more Thanksgiving related. So say you have Amazon

  9. 17:12 – 17:34

    Productivity Use Cases for PMs

    1. NP

      open, right? And I want to call out here that you actually don't even need to open Amazon. I just did that so that it does a really, really good job, and we can do into the c- go into the comparison where I just do it on the homepage instead of going into Amazon. But really my idea here is I have a nephew, he's 10 years old. I want to gift him something for Thanksgiving-

    2. AG

      Mm-hmm

    3. NP

      ... except I have no idea of what to give him because, you know, it's

  10. 17:34 – 27:07

    Perplexity Comet: Research & Shopping

    1. NP

      just like there's so many things, and I also don't have the time really, to be honest. So I just want to delegate this task to AI, right? Not use my brain. So I'm trying to be the worst prompter here because I find that that is the best way to actually assess how good an AI tool is. So all I'll say is, "Find gift ideas for my 10-year-old nephew." The-- Honestly, that's all I'm going to give it, and I'll also tell it, "Compare prices outside of Amazon as well."And we'll just let it go and see what it finds. So while it does that, what it's going to do actually is not only will it look through all of the, um, options that it has on Amazon, concurrently, it will find if that same product is available on, you know, the seller's direct website and such. It'll compare the prices, and it'll give you the link for whatever price. Like look at this first example. Even though we're open on Amazon, I'm sure it found Barnes & Noble's site to be cheaper, and we can confirm this here by actually searching that, which is why the link it sent me was from Barnes & Noble and not Amazon. Now, obviously, this is a pretty, like a, a, a loose example, right? For lack of a better word. But think of all the possibilities here. Say you're working on a, a case analysis at work, right? You have like six different Excel tabs open, a lot of context here to work with. You can simply open Perplexity and ask it to consolidate. Say you've been doing some rough work or scratch work and you have like a Google Doc open that lists just all of your ideas. Now you can ask it to go through all of the ideas that you have and then find concrete examples of whether or not they're accurate, and it'll do that for you. So, um, in this case, if I just open Google Sheets, for instance, we can just open a blank sheet here and have that just be open as a tab. And then here I'll say, "Compile the list of all gifts that you found on my open Excel sheet tab." And when I did this last time, it was smart enough to figure out exactly what I was looking for, and it had done that. I'm not sure why some of that verbiage was... All right, so it said, "Appears to be empty. There are no gifts listed." So I'm going to say, "Yes, I want you to populate the sheet for me." Which again, goes back to my intentional bad prompting skills, which... All right, so it wants the URL, which we'll give it that, and I think that should be good enough for it. We'll see here. All right. There you go.

    2. SP

      Oh, there we go.

    3. NP

      So yeah, while it does that, going back, think, think research, think lifetime. It's probably going to really excel at those, those type of works. Um, it didn't list link here for some reason, but we can just ask it to include the link as well. Or maybe it did, actually. Yeah, so I guess it didn't. We'll say, "Be more specific with the price," 'cause it has a range right now, "and list links to all presents." And I think that should have this update. And I don't know if you caught that, but it actually opened a new Amazon tab and a new untitled spreadsheet 'cause I think it's trying to go through, like, look, you can find it, scrape all of this information. It searched for the Lego Technic racing car automatically. That's where it found $55. A, a really good use case for this also is you can ask it to find the biggest discounts that are available right now and track them against discounts that were available throughout the year. So because it has history as well of what prices used to be, it will find you the biggest discount that exists for these products, and you can even use that to optimize for what gift you want to buy because, you know, you might want to be saving $80 instead of just $50 just, just because of the fact that there was a bigger discount. So all of these time-sensitive historical data related research, it just absolutely sheds that.

    4. SP

      And why does it, how does it have historical price data from Amazon? 'Cause I imagine that would be like a huge amount of data for it to store.

    5. NP

      I'm sure you've heard of tools or extensions like Honey, right? That do basically this exact thing, Honey or Capital One Shopping. So what it does is it ties up with those extensions, which I have given it access to earlier. I just set that up once. That's how it's able to access all of that data. So you're right in calling out that Perplexity itself doesn't have that, but it kind of has the bridge to where that data is stored. So that's why it can go back and forth and fetch information based off of that.

    6. SP

      Ooh, okay. There's the power of tool use for your agentic browser.

    7. NP

      Uh-huh. Yep.

    8. SP

      If you have the right tools available, then it can go do cool things.

    9. NP

      Especially extensions, right? And this is, I think, something that's super underrated, and I haven't found a lot of even YouTube content around this. But once you can get extensions that are already so useful to sync along with these tools, that's when there's like a really cool unlock of, uh, absolutely amazing things that, you know, it's like some of this tool is much greater than those of its individual parts. Like it just becomes something much, much more valuable than individually extensions and individual browser. Like it just gets super powerful like that. Only thing is it does take a while sometimes, and I also want to call out that I used to have Perplexity Pro. I no longer have it because I just don't use Comet as much anymore. But this would all be much faster if you do have the Pro. But like I said, you don't need it, right? It will still get you pretty far off the free account as well. And keep in mind, these are all extremely expensive operations when it comes to token optimization. Now, I don't know how it's doing that behind the scenes, but all of this that you're seeing is extremely token-intensive. So I, I mean, I just want to call out that, you know, Perplexity Comet does a really good job of really being efficient with its token use, because I have no idea how they're allowing non-pro users to be doing such in-depth research on their tool just for free. But I, again, I don't have behind-the-scenes insights into this. Maybe y-you have a perspective, Aakash, I don't know. But it kind of, yeah, like breaks my brain that how is this stuff free right now?

    10. AG

      Yeah, no, it breaks my brain too. How is this free?

    11. NP

      [chuckles]

    12. AG

      This is like, this is alpha for you guys out there, you know?

    13. NP

      Yeah.

    14. AG

      For you guys who are watching your budgets carefully, you are getting a pro product that should be paid for free right now.

    15. NP

      [laughs] Yeah. So anyway, you'll find it painstakingly attach all the links. Clearly, it's doing what we ask it to. Notice how to the cent accurate the prices are, 'cause if you remember, we saw fifty-five point two four on that Amazon page, which is exactly what it has here.

    16. AG

      Do the browsers hallucinate as much as the LLMs?

    17. NP

      I have not found many cases of hallucination at all, actually. That's such a good question. Yeah. It, it didn't even occur to me until just now. But all of the work that I've done in terms of the form filling, what else did we cover, I guess, this type of research around tools and such, like this will be done soon, I promise. None of these links will be broken at all. Like, they will work exactly perfectly, like to the dot. So maybe they hallucinate a little bit, but in my use- in my usage of them, I have not found a lot of hallucination. Also notice how because I have the same tab open in two different tabs, it also shows my name here. Um, it just went away. But I mean, yeah, let's quick- quickly test some of these links if they work. So that says twenty-three ninety-nine, and it was minus forty percent. That's, you know, exactly what it has here. There's some notes as well. I never asked it for notes. I guess it just attached metadata that it found. But yeah, so I-- the reason I flagged Sheets here specifically is because I know for most people, right, for most PMs, as well as really just normal people, Google Sheets i- is kind of, uh, their bread and butter when it comes to... It can be life expense tracking, right? It can be just trip planning, whatever the case might be. Keep in mind that, and this is funny 'cause even Gemini has started showing their own, like, stuff here. I found this to be much less helpful, I won't lie, so I'd just like to close it. But remember, anything that you're doing on Sheets, if you can imagine it and if you can find a way to word it, what you- whatever the operation is that you're trying to do, Gemini will do a wonderful job of doing that thing. So, like, I can look up here sample expense sheet, right? And actually let's do that. And then if you ask it to find where there might be gaps, where you can be spending or saving more money, it'll look through your data and make personalized recommendations based on what it found on your specific sheet. So I think this is a good way for most people to think about or reconcile use cases when it comes to Perplexity, research, Sheets, a- anything that involves comparison. For me, the first thing that comes to mind is let's test out Comet for those purposes.

    18. AG

      Awesome. So that's Comet. What does Dia look like?

    19. NP

      Awesome. So I will say before I actually jump into Dia and pull it up here, of the three, if you had, if you had me rate them just purely on the basis of aesthetics, you know, I don't know, like product polishing, I don't know the right word. Maybe you can tell me, Aakash, 'cause you're from that space actually. Dia wins. Like, it is experiencing a product unlike any that I've seen, not only in the agentic AI browser space, but any product at all. And it's funny 'cause I was just trying out Google's Antigravity yesterday, which honestly, as I think about it, would be a contender for this video as well, given its agentic capabilities, even though it's not really a browser. But nothing has come close for me in terms of what a joy it has been to get

  11. 27:07 – 30:17

    Dia: YouTube Video Summarization

    1. NP

      onboarded to Dia as a user. So for any PMs out there taking notes in terms of what is a good customer onboarding experience, check out Dia. It is an absolute case study that you can use for building out bullets that make that experience such a joyful one. So I just wanted to call that out real quick. So yeah. Now, in terms of the use case itself, I have here one of your videos, Aakash, and what I wanted to do here was there's a few things that it unlocks when it comes to context, right? So, you know, we'll have Get Started with Dia, we have that, and w- we have your channel here. So if I just go on my new tab, and all I'll say is... So you can specifically select what tabs you want, but we won't be doing that actually. Uh, we'll just say, "Based on the two YouTube videos, I'm trying to make a video on how to become an AI PM. Help me write the script for this video with a strong hook," et cetera. That is AI. So as you can see, obviously I've been not the greatest prompter here again.

    2. AG

      [chuckles]

    3. NP

      But, uh, from what has been my experience, it'll... And k- keep in mind that these videos aren't even playing right now. That one actually hasn't even gotten to the video. It's still just the ad before the video. But what I'd found before was because it has all of the context stored in across the two videos that were open here, in which, in which in our case were the AI PM video and the other one, which is here, like it obviously goes through the entire thing. And because it's your video, Aakash, maybe you can tell me if this stuff even tracks. So it's talking about, "Forget the hype, AI PMs aren't prompt magicians. They decide when not to use AI." Is this sounding like stuff that you had covered in that video, would you say?

    4. AG

      Uh-huh. Yeah.

    5. NP

      I mean, as you can see, I think this is pretty comprehensive. I think it had, it has done a, a really good job of trying to reconcile that information. This is really well detailed. Actually, I didn't even want these many details. So yeah. So I mean, that is one thing that it really excels at. Um, I was also trying to look through other use cases in terms of Gmail itself. So I gave it the u- same use case as I did with Atlas, and it, like, it was not able to do that pretty much. It was, like, way more restrictive. I think it wanted me to upload all of the bank statements and such, like, manually, which that defeats the entire point. Like, I don't know why I would do that in the first place, right?

    6. AG

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  12. 30:17 – 33:03

    Ads

    1. AG

      I hope you're enjoying today's episode. Are you interested in becoming an AI product manager, making hundreds of thousands of dollars more, joining OpenAI and Anthropic? Then you might wanna do a course that I've taken myself, the AI PM Certificate ran by OpenAI Product Leader Miqdad Jaffer. If you use my code and my link, you get a special discount on this course. It is a course that I highly recommend. We have done a lot of collaborations together on things like AI product strategy, so check out our newsletter articles if you want to see the quality of the type of thinking you'll get. One of my frequent collaborators, Pavel Hern, is the Build Labs leader, so you're gonna live build an AI product with Pavel's feedback if you take this AI PM certificate. So be sure to check that out. Be sure to use my code and my link in order to get a special discount. And now back into today's episode. Are you looking to land your next product management job? I am accepting a group of just 30 product managers into a 12-week cohort led by me, where every Monday for 90 minutes, I help you through your job search, creating your candidate market fit, updating your LinkedIn, updating your base resume. You're gonna get personalized feedback and one-on-one mentorship sessions with my co-teachers, Ankit Vermani, who is an AI PM at Atlassian and was a group product manager at Meta; Prasad Reddy, who is a CPO and has been in product for over 26 years; as well as my other live instructor, Bart Jaworski, who's gonna run another 90-minute session per week. So if you want coaching from me to land a PM job, this cohort is a no-brainer. It is a premium-priced product. It is more expensive than the average product out there, but the return is huge. Most people who join the cohort see a salary raise anywhere from $10,000 to $100,000 in the first year, and so the ROI will be there within a year. And we guarantee two-plus interviews. So if you don't get two interviews after completing the 12-week program and following all the steps, we will refund the money to you. So it's a no-brainer. Check it out at landpmjob.com. And now back into today's episode.

    2. NP

      So that was the first use case. One of the major things about Dia that makes it a really good use case for enterprise that unfortunately I had no way of testing, was that it directly integrates with Jira, which is obviously another Atlassian product. So where this is super relevant for PMs is if your company allows you to install external software, what you-- what that enables you to do is, and I wish I could demo this, but there was really no way I could do that. Um, but if you have, like, a GitHub repository, and if you have your Jira logged in, you can go into the repository and ask it to scan any open bugs that maybe others have submitted or maybe that you have found, and it will automatically generate that Jira ticket for you, along with all of the details that are provided on your GitHub repository.

    3. AG

      Nice.

    4. NP

      So there

  13. 33:03 – 38:39

    Dia: Jira & Atlassian Integration

    1. NP

      were a lot of use cases doing that, but my organization doesn't use Jira or, you know, any Atlassian product, so there was no way for me to demo this. But I did want to flash that because I know that most PMs are really in the weeds with Jira tickets a lot, and this is something that's kind of custom-made to integrate really seamlessly with Jira. So yeah, that, that was a use case that I wanted to flash.

    2. AG

      If you're Atlassian Suite, Dia is really, really interesting. And does Dia expose what models it's using under the hood?

    3. NP

      I tried asking it actually, um, and it just-- it didn't tell me earlier, so we'll, we'll, we'll ask it. [chuckles]

    4. AG

      All right. It did a pretty good job with those YouTube videos. I feel like there might be some Gemini. Maybe it has some, like, smart model usage too, where, like, when it's YouTube videos, it uses Gemini, then maybe it uses different models at different times.

    5. NP

      That's a good call. It says it's using GPT-4 class model, which is pretty concerning, 'cause why are we using GPT-4 in November 2025? Like, that is, you know, problematic [chuckles] to say the least. But I will say, I do want to caveat that it probably doesn't mean much because if it's built specially for Atlassian, as we know now, 'cause it was acquired, for its specific internal use cases, I can see how GPT-4 would actually be good enough given that specific training and context engineering that they would've done on this for it to be-- for it to do a reasonably good job. Yeah. So the other thing that had come up w- in my analysis of Dia was a lot of PMs also obviously work with Loom videos, right? So this can be a new product launch. This can be you're trying to show a bug. Say somebody shares a Loom video of them walking through what a bug is in your tool. If you have this ready, again, it has the context to sift through your entire Loom video, generate the transcript for it, and then fill out a Jira ticket automatically based on what the Loom video did. This I thought was really cool, and I mean, it-- this is really niche when it comes to a use case. Again, do most people need or use this in their day-to-day work? Probably not. But because this is a podcast for PMs, this is something that is right up your all's alley. So I, I did want to flash that particular niche use case out as well.

    6. AG

      Nice. So anything Atlassian Suite, Dia is great.

    7. NP

      Exactly. Uh-huh. And then last but not least, I think I had one other thing. So in terms of as far as putting all three of these head-on, I did find through my various analysis, which it k- it's kind of hard to demo this particular piece. Y- this is only something you learn when you do enough of this. But when it comes to having, say, you have 12 tabs open, all for different things. So I have a YouTube channel. I, I like to write scripts for my videos and a lot of tabs. Say seven out of those 12 tabs was, were relevant for my video. What I found again and again was of the three browsers, Dia was consistently the best at making sure that it understands which seven tabs I'm talking about when it comes to my specific video. So what I mean by that is if I just open Google Docs here, just say docs.new. Uh, and like, as you saw there, it can be a slightly somewhat steep learning curve to figure out saying what opens a website versus just making it search. It can be really annoying, but-Once you use enough, you, you kind of get the hang of it. So what I was saying here is while you, say, continue to type out, like, your script, right, if you open chat with this document, um, again, a pretty common use case for most people is to consolidate information across their various open tabs into whatever document that they're writing. Now, because in my use case I was trying to write a YouTube video and I had other tabs open that were not relevant, I find it annoying to tell it and point it to which tabs it should look at. I think it should be the job of a really smart agentic AI browser to do that thinking for me, right? And I found again and again across the three that Dia did the best job at figuring out that these are the seven out of 12 tabs that are pertinent for this video or this document, so let's really do a good job at segregating those seven from the other five. What I found with Atlas and Perplexity were that for tab context, that's kind of the technical term for this, they struggle a little bit in terms of, like, it'll drop, like, maybe the last tab or it'll include, like, a random Amazon link that has nothing to do with my video and start suggesting that I write Amazon stuff on my video, which as you can understand, that can be pretty annoying. So th- that was really the last thing I wanted to call out in terms of Dia-specific behaviors when, when it comes to the AI browsers. So-

    8. AG

      Okay. So what I've learned so far is that the tab context is really the superpower of these agentic browsers. And for Atlas and Comet, you can expect to be very controlled with your tabs and not have open tabs that are gonna be polluting that context with unnecessary context. But for Dia, you can have those and it'll still figure out the relevant ones.

    9. NP

      That's exactly right. Yep. And I'm sure there are people much more, um, disciplined than me that do a good job of closing tabs. I just really struggle with that, and I've just given up trying now. So that made Dia really useful for my use case. It was just really cool to tell it and have it almost read my mind in, in a sense, and it was just incredibly satisfying to get that result every single time where, you know, no balls were dropped and all of the context from my relevant tabs was retained.

    10. AG

      Awesome. So we just went through the strengths of all the browsers. What are the weaknesses? What should you not be using these browsers for?

    11. NP

      Yep. So for each, I can go down the list one by one. If you're trying to do anything really quickly, like if, if you're trying to finish an operation and time is of essence, Atlas is not usually

  14. 38:39 – 43:27

    Weaknesses of Each Browser

    1. NP

      the best choice for that just because as we saw, it needs to, in its own way, see through everything on your screen and go through each field one by one. So while it does a pretty robust job, it's not the fastest. So if time is of essence, probably Atlas is not the way to go. Um, the other two, especially Dia, are much, much faster. For Perplexity, if, if you're trying to get through any of the more, um, navigational-type uses where you're trying to maybe-- you're going to be hit with a CAPTCHA of some sort, you know, or you, you might have to get- go through dark patterns that aren't the most intuitive to recognize. I found it struggle a little bit. This was not true 100% of the time, but sometimes it can struggle with a long chain of navigation before it gets to where it's trying to get to. This usually doesn't happen as much for most research, right, 'cause you're just, you know, like, a Google search away or a PDF, uh, report or what have you. But keep that in mind for more navigational tasks. It might be better to use either Atlas or Dia. Now, for Dia itself, the way it grabs all of your context from the tabs and such, I found that there is no really good way to keep out any private information that you don't want exposed compared to Perplexity and Atlas that do a good job of keeping all of your records on your device, right, which is why they make you install these things. Now, I have no way of checking this, but in my analysis I found a lot of reports online where people did say that their information had found a way to get outside. I don't know, again, if this happened for sure. I just wanted to call out this finding for just in case any user might be dealing with especially sensitive information. Probably best to avoid Dia at this stage when it comes to that.

    2. AG

      I wanted to ask about that. I mean, should somebody be using an AI browser? There seem like there's a lot of privacy and security concerns.

    3. NP

      It kind of depends on what your overall privacy appetite is, as I like to think about it. Like, that LinkedIn scraping thing, you can do the same exact thing on chatgpt.com browser as well. It, it, it's not, like, exactly the same, but the agent mode still makes you log in. It, it still has access to your entire screen. It kind of, for me, just depends on the individual person's appetite for what they feel is at risk. A lot of people believe that the moment you make a Gmail account, like, just kiss your web privacy goodbye forever. I, I don't hold that opinion, but yeah. Like, I'm not trying to say that it is the most secure and you can feel completely at ease with all of your information floating around or not. It, it's for each p- individual person to kind of determine that. But there is no indication that these are especially privacy first or privacy-focused across the board, any of the three browsers. I would not be counting on that. If that was a deal-breaker for me, I would not be using any of these three, actually.

    4. AG

      And are they overhyped or do you think they're correctly hyped?

    5. NP

      So they are under-hyped actually for the very specific and small list of use cases that they're really good at. Then it becomes kind of a function of: Is that something that you're trying to do, right? And as I said, that list is really small. For that small list, and I should add ever-growing small list, I would actually say they're underrated. Like, there are-- Just personally, if I had to go through each person's LinkedIn and find out guests for my particular niche, that's hours of work that it-- this just did in, like, 15 minutes, right? Now, are most people trying to do aggressive outreach from their day jobs or what have you? I don't know, right? That depends on the person. But if that is something that you're trying to do, yeah. Like, why would you not save two and a half hours? And this is just one time, right? Now imagine if you're doing that multiple times for multiple use cases. So these are not to be portrayed as a, you know, like, th- the forthcoming of or the best thing since sliced bread, right?Fail at most general things that other things might be better at. But if you're trying to do that specific niche use case type thing, which actually I'm happy to share a list of that. For these use cases, you have to be at least considering using one of these tools that we went over today.

    6. AG

      Let's do something together. Let's build a mind map. So I want to build the AI agentic browser use cases. Let's build these together. So what are-- Maybe we'll do this in a couple different categories. So let's do the PM use cases and then general, and then on the other side of this, let's also do kind of the non-use cases, like when you should use something else. So if you were to start to think about this at the very top, what are the PM use cases that PMs must be using it for?

    7. NP

      Just one thing that comes top of mind is it's like a umbrella of things, right? That you can do just with that information. So navigational note-taking in a structured way towards

  15. 43:27 – 48:41

    Building the Use Case Mind Map

    1. NP

      an end that you define, I would say would be a good way to go about this.

    2. AG

      Mm.

    3. NP

      Exactly. Competitive analysis. Um, you can even have it look at, like, onboarding stats and such. You can even do a sentiment analysis, like what are people on Twitter saying over the last few months? Like, we can do one with Gemini 3 Pro's overall sentiment across the board on Twitter just based off, you know, last week. And I think it would be cool to compare that versus three months ago where everybody kind of was like, "Oh, Google is over," you know, "They're fallen behind," blah, blah. So it will be able to generate that gap or that gulf in the sentiment that exists. So all of those type of navigational use cases, it would really do a wonderful job of.

    4. AG

      And you said it is even good for data analysis?

    5. NP

      Uh-huh, yep. So for Perplexity specifically, it does a really good job of sheets, and I think it's because they have, like, some sort of tie-up. This is-- I don't know this for a fact, but especially for Google Sheets and say you have like three, four more PDFs that are talking about stuff or data in your sheet, they can all talk to each other, and you can update your sheet based on the findings of the PDF or, like, three other tabs that you have open. Yep, those are the top use cases that PMs should definitely be checking out, I would say.

    6. AG

      Okay. And then the top general use cases. So you started to go over some of these, right? I think it was, like, email related.

    7. NP

      Mm-hmm.

    8. AG

      Email sorting. I think you went through, like, shopping companion essentially-

    9. NP

      Correct

    10. AG

      ... finding you cur- things. What other big use cases should people be using this for?

    11. NP

      S- scraping. Anytime you're trying to scrape anything, it is like-- Again, I come from computer science. I know how to write scrapers. They're not easy. Most people do not want to be writing scrapers, I promise you that. [chuckles]

    12. AG

      Yeah.

    13. NP

      But now you can scrape anything. Again, it takes time. I do-- As I caveated earlier, it's not the fastest compared to a scraper bot that you might write.

    14. AG

      Yeah.

    15. NP

      It will do the job for you though, and it will do a really good job for you.

    16. AG

      Nice. Anything else people should be remembering? If I want to do X, use a AI agentic browser.

    17. NP

      Actually, for, uh, Akash, for the PM use cases, documentation is a really big one. So at any point if you're trying to document a flow, I, I actually think maybe we covered that a little bit. But say you have a new product, you're trying to write documentation for users that are yet to use it. You can instruct these browsers to go through page by page, end up on every page or any flow that exists, and write documentation along with screenshots for your entire app. So they can have all of your journeys mapped out individually in different swim lanes just because you instructed them to do so.

    18. AG

      That's awesome. All right. And then what are the non-use cases? What should you not be using these for? It feels like they were pretty slow, right? So anything you can do in less than five minutes probably not do?

    19. NP

      I would say slow plus, again, I think privacy, right? That's a big one because if you're trying to do anything useful, more often than not it will make you sign into, it'll, you know, like Amazon, LinkedIn. I tried doing Instagram. That was a really cool case where Meta actually has inbuilt code on their, on the web version of Instagram to prevent any bot-like usage. So I spent almost an hour trying to break it, which I'm sure people smarter than me probably have broken it. But for Atlas, which is, you know, I didn't find anything that it was not able to do. It was not able to scrape Instagram for me, which I thought was very interesting.

    20. AG

      Mm.

    21. NP

      But for, yeah, pretty much anywhere where you're not comfortable logging in or where, you know, you might run into CAPTCHAs or you might-- Actually, I do want to say a lot of them weirdly sometimes do well with your generic CAPTCHAs. It's the stuff where you have to drag and rotate something. I don't know if you've seen those ever, Akash, or-

    22. AG

      Yeah, of course.

    23. NP

      Um, yeah, some of the more, like, niche or cooler CAPTCHAs, they all struggle with. So if you're going to run into that, they'll be pretty useless. But yeah, they crush normal CAPTCHAs. Like traffic lights, oh, you know, [chuckles] they, they eat them for breakfast. [chuckles] So tho-those are not concerns, yeah. But so yeah, I would say deeper navigations or-- Like, it was funny, I tried to get it to cancel Amazon subscription for me. [chuckles] And all of them struggled.

    24. AG

      Okay.

    25. NP

      Which I hope you see the i-irony in that because, you know, [chuckles] the, the dark patterns are so dark that it throws away even a-AI tools to, in order to do that. So yeah, that's the biggest thing that comes to mind-

    26. AG

      Yeah

    27. NP

      ... where not the greatest at following long chains of navigation.

    28. AG

      Okay. So this, you guys, is the mind map. This is how you should be thinking about using your AI agentic browser versus an LLM. Now let's go to the moment of truth. How would you rank these browsers?

    29. NP

      So obviously most people I think would be more interested in the usability piece. I found that for most tasks that everyday people are doing, and if your goal is to save time, in order I would rank ChatGPT Atlas to be the winner here. Just, just its scraping feature itself unlocks so many-Absolutely amazing, uh, possibilities for me that it's just hard to, you know, question the utility, at least time-wise. Perplexity is a, you know, close second just because you could argue that a lot of time is spent doing research, which it completely automates really well.

  16. 48:41 – 53:39

    Final Rankings: Which Browser Wins

    1. NP

      And then finally, you'll have Dia, which is not to say that Dia is not, you know, very good at saving time because, as I showed you guys, you don't have to watch three one-hour YouTube podcasts. You can just have the tabs open and have it summarize all three for you in a neat one-pager along with takeaways for you, right? So all, all of it, like, is kind of context-dependent a little bit, but for most people, I would imagine, you know, Atlas to be the winner here. Now, in terms of usability, I had... You know, I might catch some heat for this, but I actually found Perplexity to be a much better overall, you know, experience or user experience compared to both Atlas and Dia. I, I found it to be much more intuitive the way it responds back to me when it comes with, to me with clarifying questions or just trying to understand exactly what I'm trying to do, especially as you saw with my subpar prompting skills. You know I need that. But it's, like, really interesting to grasp the level at which it's able to interface with me almost in, like, a telepathic level, which I found lacking in both Atlas as well as Dia. So I would place that first inter- in, on that list, and this is followed by, I think, pretty close together, Atlas as well as Dia. Probably Dia might edge it a little bit because of its superior product experience, but where the rubber meets the road, you probably care less about that and more about the actual, you know, user experience. But yeah, I would put the two of them pretty close to each other when it, when it comes to that. So overall, overall final ranking, probably Atlas is what you should be starting with if you've never tried any of these, and then probably you can slowly dip your toes into Perplexity and then Dia in that order.

    2. AG

      So now it comes to the moment of truth. What is the best agentic AI browser out there?

    3. NP

      Absolutely. So without any drum rolls, uh, the way I did this was break it up into two categories just because it made the most sense. So when it comes to the overall user experience, I found Atlas to be the winner here just because for most tasks that most everyday people and product managers are trying to do, it just blows the competition out of the water, especially if you keep in mind that the other two aren't really that good at scraping or doing actually agentic-driven workarounds or workloads for you, right? So that, that is why I would put Atlas first. This is closely followed by Comet. That does a really good job at, um, when it comes to research, consolidating information from a bunch of open tabs, updating your sheets or what have you, you know, and as we went over, using various PDFs even that are open to update information that you have on your sheet. And then finally, you have Dia, which is not to say that it's a terrible experience using it. I just found the use case for which it would be the flagship go-to for to be slightly limited, and that would be my ex-explanation or reasoning to put it at number three. I will say when it came to usability, though, Comet would be what takes the top tier for me just because I found when interfacing with it, the questions that it had for me to further in- understand my instructions or what I was trying to do were much, much more superior than Dia as well as Atlas. Now, I don't know if I'm the only one that feels this way or if there is some inherent bias, but more often than not, I found Comet and myself to be on the exact same wavelength. This was followed by Dia and, and Atlas in very close succession, it- which is not to say that they were completely off, or they misunderstood my instructions or didn't hallucinate. Although there were some instructions of misunderstanding what I was trying to ask them to do, which seemed to almost never happen with Comet, which is why, you know, those are the rankings that I have. Overall, though, for most people, for most tasks that you're trying to do online that can be automated or be converted by an agent, ChatGPT Atlas is probably the browser that you should be trying if you've never tried any agentic AI browser before. It has what, to me, appears like the most forgiving learning curve in that if you're familiar with ChatGPT, you will find getting onboarded here super, super straightforward. Comet can do a better job of, uh, you know, being, upping the experience, but yeah, again, if you've never tried any of these before, go try out Atlas, and for more research-oriented tasks, maybe you can slowly dip your toes into Comet and then Dia in that order as well.

    4. AG

      So ChatGPT is the best AI agentic browser. Is it free? Do you have to pay for it?

    5. NP

      Yep, it's totally free. You'll probably get hit with a rate limit at some point, but to test it out and do your first agentic operation, it's totally free of cost. There is no fee to use that.

    6. AG

      And have you been hitting rate limits on your pro plan?

    7. NP

      Never. I've been grinding it pretty much nonstop, [laughs] just relentlessly, and not once has it given me the rate limit error, and I'm really a Plus user. I'm not even a Pro user. So I have the lowest plan possible, and I've never run into a rate limit.

    8. AG

      Okay. So for $20 a month, guys, you get access to the best AI agentic browser out there in the world right now, ChatGPT Atlas, and as Naman said, these models, this product is only gonna get better. There is a lot

  17. 53:39 – 55:55

    Advanced Tips & Tricks

    1. AG

      of alpha out there for you guys to go use ChatGPT Atlas. Learn the use cases so that when you encounter a use case in real life, you automatically go do it. Learn the hacks, learn the tips, learn the tricks. And to that point, are there any final tips and tricks or advanced features on Atlas that people should know about?

    2. NP

      I would just say continue to monitor, uh, the docs and stay updated with your news diet because the best way or the best time to utilize any of these features are exactly when they drop. As of recording this actually on 24th November, ChatGPT has included a shopping, uh, agent experience thingy on the browser itself, which if you'll remember, that was only possible on Atlas, like, until yesterday.So these tools continue to evolve at breakneck speeds. There's really no telling what's coming next. So my personal, you know, compass with this stuff is as soon as something drops, that's actually the best time to test it out because that is when, as Aakash said, that alpha is at its biggest. That's when you're almost incentivized as a user. Because I promise you, in a year from now, and you can, you know, come back to this video, this stuff will not be worth $20. Like, I can almost but guarantee you that part. It is now because they're trying to onboard users. So make the most of this opportunity. The window won't last around forever, you know? And thanks for creators like Aakash that really fix up your content diet so that you have the latest and greatest when it comes to these developments. So yeah, that, that, that's what I would say on that front.

    3. AG

      All right, guys. If you've watched to this point, you are now a candidate in this giveaway. If you comment below the top three tools overall that we ranked in order, and you go find me on LinkedIn, follow me, and hit a DM, I have an open profile with the three, seven days from the episode publishing, so you have to do it in the first seven days of the episode publishing. You have to comment, and you have to DM that order of the three tools that Naman just gave you. I'll be giving two of the people who DM, so usually, like, anywhere from 50 to 100-plus people are gonna DM me. Just two, I'm gonna be giving you a year free of the paid newsletter. Even if you don't win the giveaway, you have learned a lot by spending this hour with us. Go out there. Go use these AI agentic browsers. I think that if you're a product leader, you should be

  18. 55:55 – 57:21

    Outro

    1. AG

      thinking about getting your IT department to give people access to ChatGPT Atlas, not just ChatGPT. As we just showed, there are so many different good use cases for your product team out there. So if you're a product leader or a product manager, go out there, get access to ChatGPT Atlas. Add it into your PM AI tool stack. For my money, it is one of the best ROIs you will get on a tool out there. Naman, thank you so much for dropping all the sauce.

    2. NP

      Thank you for having me. This has been such a delight.

    3. AG

      If people want to check you out or find you online, where should they go?

    4. NP

      My Instagram is @readysetdopodcast. Please do check out my show as well, and give me a follow if you'd like.

    5. AG

      He has tons of sick content over there, and we'll see you all in the next episode. I hope you enjoyed that episode. If you could take a moment to double-check that you have followed on Apple and Spotify Podcasts, subscribed on YouTube, left a rating or review on Apple or Spotify, and commented on YouTube, all these things will help the algorithm distribute the show to more and more people. As we distribute the show to more people, we can grow the show, improve the quality of the content and the production to get you better insights to stay ahead in your career. Finally, do check out my bundle at bundle.aakashg.com to get access to nine AI products for an entire year for free. This includes Dovetail, Mobbin, Linear, Reforge Build, Descript, and many other amazing tools that will help you as an AI product manager or builder succeed. I'll see you in the next episode.

Episode duration: 57:31

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