Check out the conversation on Apple, Spotify and YouTube.
What We’re Covering Today (0:00)
Aakash: We are going to be putting the 3 browsers being perplexity at this idea head to head against each other, and we’ll find out which is the best for most people for most purposes.
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.
Naman: So once you select your resume, all you have to do is Upload your resume and say fill out this application for me.
Aakash: Wow, that’s a dream for job seekers.
Naman: These are all extremely expensive operations when it comes to token optimisation. It kind of breaks my brain that how is this stuff free?
Aakash: Do the browsers hallucinate as much as the LLMs?
Naman: I have not found many cases of hallucination at all.
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.
Aakash: So we just went through the strengths of all the browsers. What are the weaknesses? What should you not be using these browsers for?
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And now, into today’s episode.
Introduction (1:53)
Aakash: Naman, welcome to the podcast.
Naman: Thanks for having me, Akash.
Aakash: What are we gonna do today?
Naman: We are going to be putting the three browsers, being Perplexity, Atlas, and Tia, head to head against each other, and we’ll find out which is the best for most people for most purposes.
Aakash: All right guys, so watch until the end to see his recommendation for the best. Can you walk us through some examples first?
Overview of the Three Browsers (2:14)
Naman: 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 ft view here is that Perplexity Comet is your go to for most research oriented tasks, especially those that need to be real time.
Tia does a really good job at remembering context, especially because it treats all of your open tabs as its operating system itself, which is super unique, and the other two browsers don’t really do that.
Finally, Chad GPT 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.
Aakash: OK, awesome. Looking forward to seeing these live.
Installation (3:00)
Naman: Yup, so right off the bat to install each of them, all we have to do is for perplexity, you just navigate to perplexity.ai/downloadcom. It’ll bring you to this page right here. You just click that and it does that for you.
Chat GPT 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 will bring you to this website. It’s called dabbrowser.com/gettingstarted, and then all you have to do is hit this top right icon and it will 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. Simple enough.
All right, so now then, jumping into the Use cases themselves.
Universal Feature: Tab Context (3:42)
Naman: The first one I had here was we’ll start off with actually something 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 of what Google’s Gemini 3 released that 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 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 I 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 3 of these browsers really excel at.
Aakash: Yeah, awesome. So. Just to confirm, all 3 browsers can look at your open tabs, and the key here, the key here versus regular chat GPT is you don’t have to like paste it in or anything like that. It can just go fetch it itself.
Naman: Exactly, yep, mhm, cool.
ChatGPT Atlas: Form Filling (6:01)
Naman: OK, so now having covered that, we’ll, we’ll be getting into a little bit some of the more niche 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, 3 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 what to fill out.
So if you just maybe we can clip this part, it should be somewhere here. OK, there you go. So once you select your resume, 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 slash 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.
Aakash: Wow, that’s a dream for job seekers. I mean, especially if you ever go to like a workday page, you upload your resume, and then it still makes you fill out 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.
Naman: Absolutely, that’s a wonderful callout.
ChatGPT Atlas: LinkedIn Scraping (7:59)
Naman: 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 scrapers.
Robots, 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 Akash was, in my case, so I have a podcast channel, right?
A big pain point for me is to find out who 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, Readyaido podcast.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. 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 learned its lesson now. But yeah, so what it will do, and you’ll see the cursor move around here, is that it’ll search through the LinkedIn platform, go on profiles, and 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’ agent tech 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 it.
I want to stress on really how powerful this is because even if you had the ability to make bots, it is close to impossible to replicate this type of smart, click-driven behaviour as it stands today. Pretty cool.
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LinkedIn Scraping Demo Continued (12:42)
Naman: Yup, 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 part pretty easily.
Aakash: You just need to remind it of its capabilities.
Naman: Exactly. And as I was saying earlier, it gave me the same error and all it was, 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, because LinkedIn, if I were LinkedIn, I’d be pretty pissed off, right, because 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’s just so much fun to play around with these tools.
ChatGPT Atlas: Gmail Integration (13:55)
Naman: Another really use case which is slightly different is compared to tools where you’re logging in. So I guess what I didn’t show on my LinkedIn demo was it will 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 that’s, you know, not OK 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 authorise that so as to give Chat GPT 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 obvious use cases.
Something that I found really helpful was, and I struggled with this, just finding out what subscriptions I have enabled, right, because you’ll start a subscription, 7 days go by, you never cancel it, and 3 years later you’re still paying that money.
Well, guess what? Whether you remember or not, your Gmail remembers because 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. 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 and then you know as you can imagine it’ll just go through your entire 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, OK, 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.
Aakash: This reminds me of how Demis Hassibis, 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 1st 10 search results, but AI is really good at going and looking at 1000 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.
Naman: 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. is another thing that I have to remind myself of. Like they’re only going to get better from here.
Aakash: Awesome. How else can we become productive with this tool?
Naman: 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 in our viewers in terms of, you know, potential use cases. If it’s OK with you, I’d love to pivot to perplexity and do a kind of a deeper dive on some of what it is, you know, better at. The use cases that make more sense for it.
Aakash: Yeah, I want to get to comparing these tools. Let’s do it.
Perplexity Comet: Shopping Assistant (17:34)
Naman: 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 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 go into the, 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, except I No idea what to give him because you know it’s 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.
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 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 will 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 and 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 and Noble and not Amazon.
Now, obviously this is a pretty like a loose example, right, for lack of a better word, but think of all the possibilities here. Say you’re working on a case analysis at work, right? You have like 6 different Excel tabs. In 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.
Perplexity: Creating Sheets (19:58)
Naman: So in this case, if I just open Google Sheets, for instance, We can just open a blank sheet here and have that just be opened 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. Won’t you To populate the sheet for me, which again goes back to my intentional bad prompting skills, which, right, so it wants the URL which will give it that.
And I think that should be. Good enough for it. We’ll see here. All right, there you go. Oh, there we go.
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.
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 because 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 really good use case for this also is you can ask it to find the biggest discounts. 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 optimise for what gift you want to buy because, you know, you might want to be saving $80 instead of just $50 just because of the fact that there was a bigger discount.
So all of these time sensitive historical data related research. Just absolutely sheds that.
Aakash: And why does it, how does it have historical price data from Amazon, because I imagine that would be like a huge amount of data for it to store.
Naman: 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.
Aakash: Oh, OK. There’s the power of tool use for your gentic browser. If you have the right tools available, then it can go do cool things, especially extensions, right?
Naman: 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 sing along. With these tools, that’s when there’s like a really cool unlock of 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 on 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 optimisation. 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 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 the tool just for free.
But again, I don’t have behind the scenes insight into this. Maybe you have a perspective, Akash.
Aakash: I don’t know, but it kind of like breaks my brain that how is this stuff free right now?
Yeah, no, it breaks my brain too. How is this free? This is like this is alpha for you guys out there, you know, for you guys who are watching your budgets carefully. You are getting a pro product that should be paid for free right now.
Naman: Yeah, so anyway, you’ll find it painstakingly attach all the links. Clearly it’s doing what we ask you to notice how to the sent accurate the prices are, because if you remember, we saw 55.24 on that Amazon page, which is exactly what it has here.
Hallucination Test (25:02)
Aakash: Do the browsers hallucinate as much as the LLMs?
Naman: I have not found many cases of hallucination at all, actually. That’s such a good question. Yeah, 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 Covered, 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, in my usage of them, I have not found a lot of hallucinations.
Also notice how because I have the same tab open in two different tabs, it also shows my name here. It just went away, but I mean, yeah, let’s quickly test some of these links if they work.
So that says 2390. and it was-40%. 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 the reason I flagged sheets here specifically is because I know for most people, like for most PMs as well as really just normal people, Google Sheets is kind of 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.
Perplexity: Google Sheets Integration (26:13)
Naman: Keep in mind that, and this is funny. Because even Gemini has started showing their own like stuff here. I found this to be much less helpful. I won’t lie, so I 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, 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 will look through your data and make personalised 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, anything that involves comparison. For me, the first thing that comes to mind is let’s test out Comet for those purposes.
Aakash: Awesome. So that’s Comet. What does Dea look like?
Dia: User Experience Excellence (27:09)
Naman: Awesome. So I will say before I actually jump into Dea 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, Akash, because 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 because I was just trying out Google’s anti-gravity yesterday, which honestly, as I think about it, would be a Contender for this video as well, given its agenttic 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 on boarded to Dea as a user.
So for any PMs out there taking notes in terms of what is a good customer on boarding experience, check out Dea. 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.
Dia: Video Context Analysis (28:14)
Naman: So yeah, now in terms of the Use case itself. I have here one of your videos, Akash, 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 Dea. We have that, and 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.
We’ll just say based on the two YouTube videos, I’m trying to make a video. On how to become an AIPM, help me write the script for this video with a strong hook, etc. That is AI.
So as you can see, obviously I’ve been not the greatest prompter here again. But from what has been my experience, it’ll, and 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’ve 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 AIPM video and the other one which is here, like it obviously goes through the entire thing and because it’s your video, Akash, maybe you can tell me if this stuff even. Tracks.
So it’s talking about forget the high A IPMs and prompt magicians. They decide when not to use AI. Is this sounding like stuff that you had covered in that video, would you say?
Aakash: huh, yeah, I mean, as you can see, I think this is pretty comprehensive. I think it had, it has done a really good job of trying to reconcile that information. This is really well detailed actually. I didn’t even want these many details.
Naman: So yeah, so I mean that is one thing that it really excels at. I was also trying to look through other use cases in terms of Gmail itself, so I gave it the 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?
[Sponsor Break: Pendo – 30:17]
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[Sponsor Break: AI PM Certificate – 31:06]
Aakash: 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, an anthropic, then you might want to do a course that I’ve taken myself, the AIPM certificate ran by OpenAI product leader MikDad Jaffer.
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[Sponsor Break: PM Job Cohort – 31:54]
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Dia: Jira Integration (33:03)
Naman: So that was the first use case. One of the major things about Jia 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. There was really no way I could do that.
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.
So there were a lot of use cases doing that, but my organisation doesn’t use Jira or, you know, any Atlassian product, so there was no way for me. 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 was a use case that I want for your Atlassian Sue. Dea is really, really interesting.
Aakash: And does Da expose what models it’s using under the hood?
Naman: I tried asking it actually, and it just, it didn’t tell me earlier, so we’ll we’ll we’ll ask it. All right.
Aakash: It’s 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.
Naman: 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 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 because 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 have done on this for it to be for it to do a reasonably good job.
Dia: Loom Video Integration (35:20)
Naman: Yeah, so the other thing that had come up in my analysis of Dea was a lot of PMs also obviously work with Loom videos, right? So this can be a new product launch this. 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 a 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 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 podcast for PMs. This is something that is right up URL’s alley. So I did want to flash that particular niche use case out as well.
Aakash: Nice. So anything Atlassian sweet, Dia is great.
Naman: Exactly. huh.
Dia: Superior Tab Context (36:05)
Naman: 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’s kind of hard to demo this particular piece, 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 like to write scripts for my videos and a lot of tabs. Say 7 out of those 12 tabs were relevant for my video.
What I found again and again was of the 3 browsers, Dia was consistently the best at making sure that it understands which 7 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. 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 seeing here is while you say continue to type out like your script, right, if you open chat with this document 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 7 out of 12 tabs that are pertinent for this video or this document. So let’s really do a good job at segregating those 7 from the other 5.
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 that was really the last thing I wanted to call out in terms of the specific behaviours when it comes to the AI browsers.
Aakash: So, so what I’ve learned so far is that the tab context is really the superpower of these Agentica browsers and for Atlas and Co. 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.
Naman: That’s exactly right, yup. And I’m sure there are people much more 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 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.
Weaknesses of Each Browser (39:07)
Aakash: 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?
Naman: Yep, so for each, I can go down the list one by one. If you’re trying to do anything really quickly, like if you’re trying to finish an operation and Time is of the essence. Atlas is not usually 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 the essence, probably Atlas is not the way to go. The other two, especially DR, are much, much faster for perplexity.
If you’re trying to get through any of the more 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 might have to get go through dark patterns that aren’t the most intuitive to recognise. 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, because you’re just, you know, like a Google search away or a PDF report or what have you. But keep that in mind.
For more navigational tasks, it might be better to use either Atlas or Dea. Now for Dea 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 Dea at this stage when it comes to that.
Privacy and Security Concerns (41:05)
Aakash: I wanted to ask about that. I mean, should somebody be using an air browser? There seem like there’s a lot of privacy and security concerns.
Naman: 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 Chat GPT.com browser as well. It’s not like exactly the same, but the agent mode still makes you log in. 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 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’s for each 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. Actually, and are they overhyped, or do you think they’re correctly hyped?
Are AI Browsers Overhyped? (42:12)
Naman: 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 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 2.5 hours, and this is just one time right now. Imagine if you Doing that multiple times for multiple use cases.
So these are not to be portrayed as a, you know, like the forthcoming 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.
Building the Use Case Mind Map (43:26)
Aakash: Let’s do something together. Let’s build a mind map. So, I wanna build the AI genic browser use cases. Let’s build these together.
So, what are, maybe we’ll do this in a couple of different categories. So, let’s do the p.m. 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?
Naman: Just one thing that comes top of mind is it’s like an umbrella of things, right, that you can do just with that information. So navigational note taking in a structured way towards an end that you define, I would say would be a good way to go about.
Exactly competitive analysis, you can even have it look at like on boarding 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 pros 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 3 months ago where everybody kind of was like, oh, Google is over. You know, they’ve 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.
Aakash: And you said it’s even good for data analysis.
Naman: 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 3 or 4 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 3 other tabs that you have open.
Yup, those are the top use cases that p.m.s should definitely be checking out, I would say.
Aakash: OK. And then the top general use cases, so you started to go over some of these, right? I think it was like email related, email sorting.
I think you went through like shopping companion essentially finding you curt things. What other big use cases should people be using this for?
Naman: 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.
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, it will do the job for you though, and it will do a really good job for you.
Aakash: Nice. Anything else people should be remembering if I want to do X, use an AI agenttic browser?
Naman: Actually, for Akash, for the p.m. 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, and upon 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.
Aakash: That’s awesome. All right. And then what are the non-use cases? What should you not be using these for?
Naman: It feels like they were pretty slow, right? So anything you can do in less than 5 minutes, probably not. 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 will, 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. 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. 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 capchas.
It’s the stuff where you have to drag and rotate something. I don’t know if you’ve seen those ever, of course, 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 capchas like traffic lights. Oh, you know, they eat them for breakfast. So those are not concerns, yeah.
But so yeah, I would say deeper navigation or like it was funny. I tried to get it to cancel Amazon subscription for me and all of them struggled.
Aakash: OK, which I hope you see the irony in that because, you know, the dark patterns are so dark that it throws away even AI tools in order to do that.
Naman: So yeah, that’s the biggest thing that comes to mind where not the greatest at following long chains of navigation, OK.
Aakash: So this, you guys, is the mind map. This is how you should be thinking about using your AIA Gentech browser versus an LLM.
Final Rankings (48:51)
Aakash: Now let’s go to the moment of truth. How would you rank these browsers?
Naman: 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 Chat GPT Atlas to be the winner here.
Just, just its scraping feature itself unlocks so many absolutely amazing 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, and then finally you’ll have Dea, which is not to say that Dea is not. You know, very good at saving time because as I showed you guys, you don’t have to watch 31 hour YouTube podcasts.
You can just have the tabs open and have it summarise 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 Dea.
I found it to be much more intuitive, the way it responds back to me when it comes 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 interfere. With me almost in like a telepathic level, which I found lacking in both Atlas as well as Dea.
So I would place that first on that list, and this is followed by, I think, pretty close together Atlas as well as Dia. Probably Dea 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.
The Winner: ChatGPT Atlas (51:04)
Aakash: So now it comes to the moment of truth. What is the best agentic AI browser out there?
Naman: Absolutely. So without any drum rolls, 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 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. We were 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 too far to be slightly limited, and that would be my explanation or reasoning to put it at number 3.
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 understand my instructions of what I was trying to do were much, much more superior than DA 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 DA and Atlas in very close succession, 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, Chad GBT Atlas is probably the browser that you. You should be trying if you’ve never tried any Asian A AI browser before.
It has what to me appears like the most forgiving learning curve in that if you’re familiar with chat GPT, you will find getting on boarded here super, super straightforward.
Comet can do a better job of, 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. Your toes into Comet and then Dea in that order as well.
Aakash: So chat GPT is the best AI gentic browser. Is it free? Do you have to pay for it?
Naman: 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 course. There is no fee to use that.
Aakash: And have you been hitting rate limits on your pro plan?
Naman: Never. I’ve been grinding it pretty much nonstop, 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.
Aakash: OK, so for $20 a month, guys, you get access to the best AI identic browser out there in the world right now, Chat GPT Atlas, and as Noman said, these models, this product is only gonna get better.
There is a lot of alpha out there for you guys to go use ChachaT 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?
Final Tips and Advice (54:43)
Naman: I would just say continue to monitor the docs. And stay updated with your news diet because the best way or the best time to utilise any of these features are exactly when they drop.
As of recording this actually on 24th November, Chat GPT has included a shopping 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 Akash said, the 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.
Aakash: And thanks for Creative Ayakash that really fix up your content diet so that you have the latest and greatest when it comes to these developments. So yeah, that’s what I would say on that front.
Giveaway (55:55)
Aakash: All right guys, if you’ve watched to this point, you are now a candidate in this giveaway. If you comment below. The top 3 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 37 days from the episode publishing, so you have to do it in the 1st 7 days of the episode publishing. You have to comment and you have to DM that order of the 3 tools that Noman just gave you.
I’ll be giving 2 of the people who DM, so usually like anywhere from 50 to 100+ people are gonna DM me. Just 2. 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 genic browsers.
I think that if you’re a product leader, you should be thinking about getting your IT department to give people access to chat GPT Atlas, not just chat GPT 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 Chad GPT Atlas, added into your PMAI 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.
Naman: Thank you for having me. This has been such a delight.
Aakash: If people want to check you out or find you online, where should they go?
Naman: My Instagram is at Readya do podcast. Please do check out my show as well and give me a follow if you’d like. Here’s tonnes of sick content over there, and we’ll see you all in the next episode.
Closing (57:21)
Aakash: 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.
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I’ll see you in the next episode.