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Agentic Browsers for Business: OpenAI Atlas vs. Perplexity Comet in Real-World Use
Businesses navigating the evolving landscape of AI productivity tools are facing a new frontier: agentic browsers. The recent head-to-head demonstration between OpenAI’s Atlas browser and Perplexity’s Comet offers concrete examples of how these platforms can execute multi-step, tool-spanning workflows—mirroring the way actual teams handle information and daily processes. Here’s a breakdown of the specific strengths, applications, and technical nuances highlighted, mapped directly to practical business needs.
What Sets Agentic Browsers Apart: Live, Multi-Step Workflows
Traditional browser demos tend to show basic, one-off queries—a single prompt, a single result. The podcast transcript makes clear this isn’t how robust business operations are run. Instead, the showcased scenarios involve multiple concurrent tabs, live logins into business accounts, and tasks that require data collation, research, synthesis, and even creation of new assets (like social media visuals).
Both Atlas and Comet were tasked with:
Analyzing podcast performance metrics in Buzzsprout.
Finding correlated content in a company’s newsletter database.
Researching recent trends and enriching historical content.
Logging into third-party accounts (like Gamma) to generate marketing collateral.
This multi-stage automation reflects actual workplace processes—involving research, cross-referencing, analysis, and output generation—highlighting where these browsers move beyond standard LLM chatbot mediocrity.
Platform Access & Usability: Deployment Differences
Perplexity Comet is available to both Mac and Windows users, offering a completely free tier and a more advanced paid version. Atlas currently remains Mac-exclusive and requires a paid ChatGPT subscription to unlock its full agentic “Agent Mode.” Notably, Perplexity Comet allows two automated tasks to run in parallel in its basic paid plan—suitable for professionals managing several asynchronous processes.
Both browsers allow direct integration with key every-day platforms (e.g., Chrome profiles, extensions), but there are implementation variations:
Comet smoothly imports Chrome extensions and bookmarks, supporting rapid onboarding for teams already embedded in Chrome ecosystems.
Atlas, despite advertising extension support, requires manual addition, though it excels in importing browser and ChatGPT memory/context for richer, personalized responses.
Practical takeaway: organizations with extensive Chrome dependencies may prefer Comet for rapid deployment, while Atlas offers advantages for teams deeply integrated into ChatGPT’s knowledge graph.
Agentic Performance: Concrete Outcomes from Business Use Cases
In side-by-side multi-step tasks, both browsers demonstrated the ability to perform detailed, chained actions:
Task Example 1:
Analyzing podcast data, identifying top episodes needing visual support, enriching with recent stats, and producing a graphic slide deck via a third-party tool (Gamma).
Perplexity Comet correctly identified episodes and synthesized up-to-date stats to produce actual usable visuals.
Atlas completed the workflow but delivered less relevant content (focusing on time-sensitive “hard release” topics that quickly age), and its visuals were less compelling.
Task Example 2:
Mining hundreds of newsletter poll responses to identify actionable trends, calculate engagement per poll appearance, recognize emerging themes, and recommend new content topics not previously covered.
Both browsers surfaced direct, data-based improvement tips and missed content opportunities.
Comet’s output provided deeper analytical breakdowns and synthesized connections between poll themes, offering more granular, data-driven suggestions for content planning and audience engagement.
A striking operational insight: the agent mode in Atlas, while powerful, is currently slower and less adept at interface interactions like scrolling—minor details that become critical during intricate, UI-heavy workflows.
Integration, Security, and Workflow Automation
Perplexity Comet and Atlas both support integration with business-critical tools (CRM systems, calendar apps, Slack, etc.), but Comet currently includes more robust Slack support and offers background automation with its higher-tier plans, allowing for persistent, unattended workflows.
Atlas stands out with its access to ChatGPT memories and broader browser history, enhancing personalization—a decisive factor for those already utilizing ChatGPT heavily across their business.
Security and privacy features, while not exhaustively detailed, are highlighted as critical—business leaders are urged to review integration policies and remain mindful when allowing such browsers access to sensitive platforms.
Use Case Alignment: Choosing the Right Platform
The demonstration organized strengths as follows:
Perplexity Comet:
Best for fast, daily automations (e.g., triaging emails, LinkedIn and Slack workflows, calendar management, and high-volume background tasks).
Ideal for complex research and cross-referencing where speed and UI flexibility are crucial.
Enables multi-tab, multi-app orchestration, closely imitating real-world multitasking.
OpenAI Atlas:
Suited for high-sensitivity workflows, supervised automations, and scenarios relying on deep ChatGPT context/memory (e.g., drafting tailored customer communications, managing sensitive data reporting).
More “polished” interface, though current agentic features can lag in speed and non-linear tasks.
Preferred where the organization’s knowledge and workflow context is heavily built around ChatGPT.
Topics Covered in This Episode:
- Agentic Browser Showdown: Atlas vs Comet
- OpenAI Atlas Browser Live Demo Overview
- Perplexity Comet Browser Live Demo Comparison
- Multi-Step Workflow Testing in Agentic Browsers
- Real-World Use Case Scenarios for Atlas and Comet
- Agent Mode Capabilities: Atlas vs Comet
- Detailed Feature Comparisons: Atlas and Comet
- Best Use Cases for Agentic Browsers
- Output Quality and Results Evaluation
- Atlas vs Comet: Pros, Cons, and Verdict
Keywords:
ChatGPT Atlas, Perplexity Comet, agentic browsers, AI browser showdown, OpenAI Atlas, Perplexity AI, agent mode, reasoning models, browser AI comparison, multi-step processes, AI workflows, agentic features, browser automation, paid AI tools, free AI browsers, Mac AI apps, Windows AI browsers, personalized AI, multi-tab tasks, background agents, browser memory, ChatGPT integration, Slack connector, Chrome extensions, data enrichment, real-world AI use cases, visual content creation, multi-platform automation, supervised task automation, sensitive data handling, multi-application workflows, browser UX, agentic capabilities, AI context, background tasks, AI productivity, multi-software task automation, Chain of Thought, assistant mode, browser integrations, AI operating system, productivity tools, AI research, AI trends.
Podcast Transcript
Jordan Wilson [00:00:45]:
Way before the AI agent wave crashed ashore in the second quarter of this year, I not so boldly stated that 2025 would actually be the year of agentic browsers, not AI agents. Why? Well, everyone wants general AI agents from the big AI labs, and they aren't that good right now. Yes. There's great narrow agents like Claude code that excel in niche verticals, but there's no name brand general use agent that's dominating the agent scene. And that's exactly why I'm so bullish on agentic AI browsers in the interim because they fix the main problems that general use agents can't properly address right now, working seamlessly with your context and consistently accomplishing multi step tasks. So that's why we're gonna deep dive today on two of the more impressive agentic browsers out right now. The first to the party and perplexity's comment, or at least the first big AI name, and then open AI's brand new agentic browser Atlas. Alright.
Jordan Wilson [00:01:57]:
I'm excited for today's show. I hope you are too. Let's get into it. What's going on y'all? My name is Jordan Wilson. Welcome to Everyday AI. This is your daily live stream podcast and free daily newsletter, helping everyday business leaders like you and me keep up with the AI developments and make sense of them and know how we can actually use them to grow our companies and our careers. So if that's what you're trying to do, starts here, unedited, unscripted, livestream podcast. What could go wrong demoing two agentic browsers live? Yeah.
Jordan Wilson [00:02:28]:
Yeah. But if you wanna take it to the next level, make sure to go to our website at youreverydayai.com. There, we're gonna highlight the recap from today's show, the most important information that you need to know, as well as all of the AI news that you need to be the smartest person in AI at your company. Alright. Here's what we're gonna do. It's a throwdown. Right? This is kind of a continuation, from yesterday's, podcast where we went over OpenAI's new Atlas browser. So kinda like a Thursday throwdown.
Jordan Wilson [00:02:57]:
Probably not gonna make that a thing. But there is a ton of, feedback from you also. Yes. When I put a poll in our newsletter or, the Spotify podcast, I actually go back and look, and you've all overwhelmingly said, hey. This new OpenAI Atlas seems pretty cool, this new agentic browser, but I wanna see it head to head against Comet. I wanna know the pros and the cons. So that's what we're gonna be going over today. So by the end of today's show, and I'm gonna make this a fast one.
Jordan Wilson [00:03:25]:
You're gonna understand the major capability differences between Perplexity Comet and OpenAI's Atlas. You'll see the most ideal use cases for each browser or the best for your scenario. And I'm gonna show you some live demos and comparison outputs. Alright. And if you did miss that Atlas specific, episode, just scroll back, click that back button, and go listen to episode six thirty seven. Alright. We're gonna start at the end. This is one of those again, cooking shows here.
Jordan Wilson [00:03:58]:
So apologies for all the back and forth, live stream audience. If you could let me know if you can see this, but, there's a lot to share here. And normally, I might wanna split my screen, and yeah, podcast audience, this is definitely one of those. You're probably gonna wanna go watch the video. I'm gonna describe, my best what's actually going on, here. But there's going to be a lot happening on screen. So I'm going to be showing you both the chat GBT Atlas browser, which I have on my screen now, and then the, to the right for those following along, perplexity comment. So something to keep in mind, if you want the video version, go to our website, youreverydayai.com.
Jordan Wilson [00:04:42]:
All right, here we go. I'm starting with a prompt. Alright. And I'm gonna describe what this prompt is doing, but I wanted to get it going first. Alright. And I'm actually gonna start another one. I am on just so everyone knows I'm on a paid plan for each, comment and on, a paid plan for chat g p t, via the, Atlas browser. So you can use, Comet for free completely, and you can also use Atlas for free as well.
Jordan Wilson [00:05:15]:
Although a lot of the better features, of OpenAI's Atlas are, more for paid users, specifically a lot of the more agentic features. So there are some like agent esque features inside OpenAI's Atlas. But the actual agent mode feature, which is what I'm demoing here, that is only if you are on a paid plan, whereas, perplexity comment completely free. Alright. But we're gonna go I'm gonna show you kind of the spec sheets, here in a second. But what I'm gonna do now is I'm going to do a second prompt. And then in a couple of minutes, we're gonna go in and I'm gonna read all of these. So, let me just go ahead and put my second prompt in.
Jordan Wilson [00:06:00]:
Alright. Again, doing this live, y'all. Doing it live. Bringing up agent mode here in Atlas, getting it going and then going into, let's see. I'm gonna do it right here, into the, assistant mode. Let me clear this. I did run this before, just to make sure things worked and to see how long they went. So I wouldn't keep everyone going for like fifty minutes.
Jordan Wilson [00:06:30]:
All right. So I now have two separate, kind of agentic processes running, both in OpenAI's Atlas, which is on the left side of my screen and inside of perplexity's comment. I don't know what the max is. For perplexity comment, it said the max that you can have running is two at a time. Also hopefully my, my audio or video won't be too laggy, but I'm not on the world's most powerful computer. So hopefully things aren't going to be going, too slow here. All right. So I have those running.
Jordan Wilson [00:07:12]:
And what I'll tell you, I'm going to, I'm going to read these, prompts here in a second. But I want you to think about your work. Okay. And I talked about this a little bit in our show yesterday, because on Wednesdays we do the putting AI to work series. And today's kind of a continuation of that, but more of this head to head. But I want you to think, what is the work that you do? And unfortunately, almost every single demo or use case, or, you know, YouTube tutorial going over both Perplexity Comet and, going over OpenAI's Atlas. I think they're all doing it wrong. No one is demoing and using these agentic browsers in the way that humans work.
Jordan Wilson [00:07:56]:
And that's what I'm doing. But I wanted to call it out first before I even go into the prompt. I try to show you all, and show or, you know, I I want you to hear if you're just listening on the podcast. The way that I'm actually using AI, that's one of the most common questions I get. Right? People are like, Jordan, you've been doing this thing for three years. You've used all these AI tools. You talk to these smart people. How are you using AI? I'm giving you all my secrets, but don't use it like everyone else is talking about it because that's not how humans work.
Jordan Wilson [00:08:28]:
Right? Like I said, so many demos, use cases of Perplexity Comet and of OpenAI's, Atlas are one shot, one trick, one use case, and that's it. That's not how humans work. Right? When was the last time you just opened one tab? Nothing else. No email, and you just completed work in one tab. You never had to open up another tab to research. You didn't have to open up an email, a CRM, an ERP, doesn't happen. No such thing. Right? Usually, to get even the simplest task done, you might need your email open.
Jordan Wilson [00:09:04]:
You might need your project management tool. You might need a PDF open. You you know, you might need your CRM. You might, yeah, for the simplest tasks, you're probably gonna need at least three, four, 10 tabs open. You're probably gonna be using three, four, 10 different programs for more complex tasks. So that's really what I'm putting, Atlas and Perplexities Comet through right now. Real world scenarios, working through multi step processes using multiple tools. Right.
Jordan Wilson [00:09:35]:
So let's go ahead here. I'm going to go ahead and read, both prompts so you can see what's going on. I won't make you wait any longer. I need you to preface it first. All right. So I'm going to go into, I'm gonna go into my, window here that's working inside of Atlas. Alright. Here's what I'm having it do.
Jordan Wilson [00:09:58]:
I'm not gonna read every single word of this because it's a lot, but I'm saying, go look at my buzzsprout podcast stats and find a popular podcast from the 2025. Then go to our newsletter website, which is read.youreverydayai.com. And then find the corresponding newsletter that goes along with that podcast episode. So essentially I'm saying, go look at my stats, find a popular podcast from the first quarter, that you think could use a visual aid to accompany it. That's the whole thing. Right? So, I'm having it, both look at quantifiable metrics, but then to also, you know, try to use its reasoning models. Right? Because these agentic browsers are powered by reasoning models. So they're supposed to think, plan ahead, sometimes go back and backtrack.
Jordan Wilson [00:10:47]:
So number one, look at my Buzzsprout podcast stats. Find a podcast that, would benefit from having a visual, but a popular one. Then go to our, email newsletter website, read what I wrote for that podcast because for each podcast at the bottom, I always write what's called the leverage AI section. So I sit here and type on my keyboard and, you know, write about, that podcast episode. Then I'm telling, each, comet and Atlas to go find more information about this podcast, and I'm not always telling it how. Right? But I'm go like, I'm saying, go find the podcast episode on my website and tell it the actual website that the podcast episode is on. I also sometimes put in wrong information on purpose. Right? Again, the humans controlling large language models aren't perfect.
Jordan Wilson [00:11:52]:
Right? And even when you're testing your own internal use cases for agentic browsers, you need to factor in both obviously, the error for the AI for the agentic browser, but also human error as well. Right? So I intentionally, you know, said something about, you know, find a popular podcast from quarter one twenty twenty five. And then later I said, we are in quarter four twenty twenty four. We're obviously not. We're in quarter four twenty twenty five. So, we're gonna be looking at the summarized chain of thought here in a minute for both of these. But so again, the three steps so far. Find a popular podcast that could use a visual aid.
Jordan Wilson [00:12:32]:
Go to our newsletter website. Find the information that I wrote. Number three, think strategically, about enriching this data with more up to date and relevant information, even though I threw a curve ball and gave it the wrong date. And then last but not least, I said, go into my gamma account. So I've, I've logged it into, in each of these browsers because this is something you can do. Obviously, you need to take your your data security, you know, seriously. This is something I'm confident enough in logging into these websites and letting, these agentic browsers control it. So last but not least, I'm having it log into my Gemma account, and I want it to create a four by three carousel for social media.
Jordan Wilson [00:13:14]:
So this is something in theory that I should be doing. Right? We create a lot of, I think, extremely high quality content. Don't post a lot of it on social media. Maybe we should. And I think visual content is something that could help. Right? Aside from just the video content, and the, the podcast. So that's the first prompt. This is a real world multi step scenario.
Jordan Wilson [00:13:38]:
This is couple elements of data analysis, couple elements of, strategic brainstorming, data enrichment, research, personalization, and then also design. Right? Can an AI do all of these things in one run? Alright. So that's number one. Number two is a little more straightforward. Okay. And I'm going to, let's see. There it is. This one's much simpler.
Jordan Wilson [00:14:07]:
So I'll read the whole thing. So for this one, I said, look in the audience and polls section of our Beehive account, which is where we send our email newsletter. Please find the most popular polls and give me, and these are the different things I'm asking for. Number one, five very direct ways we can improve the everyday AI podcast newsletter because a lot of times this is what we ask people in polls. What do you wanna see more of? How could we improve? Five audience trends I may not be aware of. Right? So this is really connecting the dots hopefully between two, maybe related polls that I forgot about. Right? Been doing this thing daily for almost three years, or maybe just connecting dots that I didn't even know could be connected. Number three, saying the five most popular polls, but not based on total respondents based on the average number of responses per appearance.
Jordan Wilson [00:14:56]:
Because some polls we used to run, like, once a week for, like, a year. So some have been, some of these polls have appeared in our newsletter a lot. And then I said, last but not least, five topic ideas from a popular poll in the last three months that we have not yet covered on everyday AI. And this is where, again, I didn't even tell it. Here's the where the podcast like, I didn't say, oh, I'm Jordan. Here's you know, go to youreverydayai.com. Nope. I said, here's my newsletter data, and then go find topics we haven't covered yet on everyday AI.
Jordan Wilson [00:15:30]:
So this one, technically, it starts out pretty easy and, you know, most people could do that with enough time. Right? Click through, you know, we've probably done three, maybe three or 400 polls before. But this one, at the end, it gets a little tricky. So those are our two different prompts. Right, for our live stream audience, you're kinda seeing, right now ChatGPT Atlas is running some Python code. Right? So, they're really getting into it. And then on the other side here, I have, comment working as well. So here's what I'm gonna do.
Jordan Wilson [00:16:07]:
We're going to take a very quick break and hear from our sponsors. And then we're gonna go and we're gonna see the results.
Jordan Wilson [00:16:47]:
Alright. So actually, I'm gonna let, some of these prompts are done, some of them aren't. So I'm gonna continue, to let the agentic browsers cook. And then let's just jump straight into a little bit more, comparisons, between these platforms. Because we just went straight into the prompts because I needed to get them in the oven. Right? I knew that they would take a while to get going and, you know, I can see some of them are still at work. I do have, like any cooking show, I have the fully baked cakes ready, just in case one of my ovens breaks down, doing live demos as, you know, Meta found out when they introduced their new AI glasses. Doing live demos is not for the faint of heart.
Jordan Wilson [00:17:30]:
Luckily, I've done a couple 100, so I'm okay. So let's look at kind of a little decision cheat sheet that I put together also. This thing is great. There's a ton of content. I put a lot of time putting this together. If you want this entire, kind of cheat sheet, just go ahead and repost this episode on LinkedIn. If you're listening on the podcast, check out the show notes. I always leave a direct link to the live stream link for this very episode.
Jordan Wilson [00:17:55]:
Repost this. I will send you this complete guide. It's actually really, really good. Alright. So this is kind of like, what are some of the pros and cons, best use cases, etcetera. I'm going to address those in a minute. I do want to go over kind of more of the features, because if you don't know, it's always changing, right? Even, OpenAI's Atlas that just came out already had, I think, two updates. So who can use it and how? So I kind of already alluded to this, but right now, perplexity is available to more people, because technically it's available for Mac and Windows.
Jordan Wilson [00:18:31]:
Whereas right now, OpenAI's Atlas is only available on Mac. They are both available to free users on both sides. Although, for the agent mode, which is what I'm using for OpenAI's Atlas, you do have to be on a paid plan. Both, have said that they're coming out, with, Android apps, and then, OpenAI's, will be coming out with, Windows version of Atlas as well as an iOS app. So here's kind of, the core UX and they're a little different. And maybe, maybe it's even easier to just show this versus showing bullet points on a screen. Right. So, with opening eyes Atlas, and I won't spend too much time because I covered this in-depth yesterday.
Jordan Wilson [00:19:18]:
It kind of has this homepage now. So if you open a new tab or a new window, it has this kind of Atlas homepage, what looks kinda like chat GBT's homepage, but it's actually completely different. So you can go and, you know, launch different modes. So if you even launch, canvas mode or sorry, not canvas mode, agent mode, you know, there's options for logged in, not logged in. You know, you can still, add tabs and talk with certain tabs. You can talk with your browser memory. So it's, you know, it's a little bit learning, and to get used to. And then anytime agent mode is active, you'll kind of see.
Jordan Wilson [00:19:55]:
So even in my multiple tabs I have open, one of the tabs up there has kind of a bouncing cursor. So that's how you know that that, kind of agent mode is running. So it's a fairly straightforward. If you're a chat GBT power user, the Canvas or sorry. Keep saying Canvas. The Atlas, browser is fairly, straightforward. Although, I think they almost made it too much like the ChatGPT interface where it can actually be a little confusing. And then on no matter what website you're on, you can always click this little ask chat GBT thing in the side, in the upper right hand corner, and then talk to that page.
Jordan Wilson [00:20:32]:
The great thing about, Atlas is it works with your entire context, of your ChatGPT account because you have to hook a ChatGPT account up to OpenAI's Atlas, which is a huge, huge benefit. Alright. So let's talk a little bit. Sorry. Gotta jump around. Let's talk a little bit about, Perplexity's comments. A little different. It doesn't necessarily have a, a traditional home screen in the same way that's, OpenAI's Atlas does.
Jordan Wilson [00:21:03]:
It's more of just a slimmed down version of the perplexity homepage. Similarly, you can go through some of the main features of perplexity, on this kind of home screen, but the big, you know, what most people are gonna be using is launching the assistant in the upper right hand corner. So similarly, it works in a lot of the same ways and fashion as OpenAI at OpenAI's Atlas. It automatically if you click the assistant in the upper right hand corner, it takes in the context of that page. So some other, automation things to look at. So Perplexity has foreground assistance as well as background assistance on their max plan. That's the 100 or $200 a month, and you can have much more, much more robust agentic flows going in more than two. So I believe on the base paid plan, inside perplexity using Comet, I think you're gonna have two, kind of agentic, capabilities going on at the same time.
Jordan Wilson [00:22:09]:
For OpenAI's Atlas, similarly, you can open tabs, you can click to complete tasks, you can also at any point, you know, run the agent mode. Couple things to note, explicit guardrails, you can't run code in the browser, download files, or install extensions. Yeah. I'm I'm not gonna go through all this. Right? If if if you want to know all the bullet points, comparison of security, privacy, all that stuff, the different models, you can just go repost this on on LinkedIn and I'll share this great guide with you. A couple things that I wanna talk about is some of the integrations and extras because this is where I think, both Perplexity and Atlas can separate themselves from each other. So one thing that I like about Perplexity's comment is it does have the, a Slack connector. It actually includes extensions when you sync this, because both of these platforms are built on Chromium, which is the, open source, kind of web language from Google's Chrome.
Jordan Wilson [00:23:14]:
So unfortunately, OpenAI's Atlas, even though they say that they have, support built in syncing for, Chrome extensions, it didn't work. So you have to add them one by one. So that kind of stinks. But everything else, you know, you can kind of import from a Chrome profile. So you would sign in with your Chrome profile and you can choose what you want to import, versus what you don't. You know, big feature, in extra of OpenAI is being able to, comp, import and talk with your entire history. That's huge. Both your, browser history, if you choose to import it, as well as obviously, the browser memory from there on forward and your ChatGPT memory in context that brings over with it.
Jordan Wilson [00:23:56]:
Right? That's huge. Also, perplexity does have a voice mode built into their browser. I don't use it a ton, although it is, fairly helpful. Pricing, we already went over this. It's free for each, although you do have to have a paid plan for OpenAI's Atlas in order to use the, actual agent mode. So you do get agentic features, right? Essentially stringing together multiple, tasks and carrying content over, you know, from different tabs per se. But to actually have something like I'm showing you inside OpenAI's Atlas, where it's actually clicking things, it's typing things. Right? That's the big, benefit of using agentic browsers.
Jordan Wilson [00:24:43]:
It uses a computer like a human would. Right? It can fill out forms. It can fill out job applications. If you give it the, the access and the information that it needs, it can, you know, use drop down menus. Right? It can, go inside other large language models, which is something I showed in my show, yesterday. So go check that one out. Write anything with a computer that, you know, would require you to click, drag, type, you can do in the agent mode, but you can't always do that in the free mode in OpenAI's Atlas. Alright.
Jordan Wilson [00:25:16]:
So that's enough of the kind of, bullet point comparisons, but let me just, give you couple use cases here. So I'll say for a perplexity comment, and then we're gonna wrap this, here up. I told you it was gonna be a fast one today. We're gonna go check the results. And, if you guys want to, maybe I'll share the actual end results in the newsletter. I normally don't do that because sometimes it's, you know, oh, some, you know, specific stats from our own internal right? It's never anyone's personal information, but I'm not always like, oh, here's all our stats and right? But if you want it, I don't know. Say, what should you say in the comments? I always have a number that I put out there, and if enough people say it, I'm like, yeah. I'll release it.
Jordan Wilson [00:26:00]:
Say say gimme. Alright. G I m m e. Say gimme. And I'll send, those resources today out in our newsletter so you can see the actual end outputs, from the different, agentic browsers. So best use cases for perplexity comment. Anything complex research and sourcing. I think that's a great use case.
Jordan Wilson [00:26:25]:
Another one is automating tedious chores. So as an example, you know, go through my inbox and unsubscribe me from all marketing emails or go read my LinkedIn messages and flag any of them that sound important, or, you know, go through my Slack, my calendar, and my HubSpot. You know, if you can have a prompt each day, start with that and triage and tell me the most important things I need to get to. Right? Those things that you would normally do every single day, I think are great for perplexity comment. Also multi step background tasks, especially if you have the higher tiered plan. There's no shortage of things that you can do that I think can really save time running those background agents. So as an example, maybe you're trying to book some business travel, you know, saying find three nonstop flights to San Francisco for next Tuesday, book the best one under $400 and add it to my calendar. Alright.
Jordan Wilson [00:27:20]:
OpenAI's Atlas. Couple things, couple different use cases that I think are worth, paying attention to. So number one is high volume communications. You know, drafting 20 personalized follow ups in a CRM as an example. Number two, sensitive data handling. This is something you can go read all of OpenAI's specs, on their data handling and privacy, data security. Again, this is a hot topic. I'm not gonna get too much into it.
Jordan Wilson [00:27:45]:
Everyone always wants me to, you know, rip apart, you know, I'm a small business owner. I understand the, the risks and the benefits, and I am a responsible AI user. Right? You may not see it because you're like, alright. It doesn't seem responsible to do a bunch of live demos, with all this stuff connected to your data. I do them first beforehand. I always read the chain of thought. I understand it. I always reiterate.
Jordan Wilson [00:28:11]:
Right? All these things that I teach you guys to do. So I I have a decent control over. I know what the results for the most part are going to be with a little bit of range. But anything with sensitive data handling, I think is good in OpenAI's Atlas, and then supervised task automation. Right? So as an example, you know, log into our partner port, partner portal, pull the q three report and save the URL. So just some example, use cases that I think are great for each platform. In this guide, we have a lot more, here at the end of it as well. Alright.
Jordan Wilson [00:28:46]:
Let's get back. Did anyone fail? Did anyone succeed? Let's take a very quick look, and, well, let's also see if they finished. Alright. So let's see what we got here. Is this the right one? Nope. Yes, it is. Okay. So here's the results from the first one.
Jordan Wilson [00:29:08]:
So it worked for fifteen minutes. So, this is OpenAI's Atlas. The first prompt I gave it, remember, it was going through the buzzsprout stats, finding a popular podcast that, could benefit from having a visual, kind of companion, some, a visual to supplement or complement the podcast. It was supposed to go find the podcast episode on my website without me telling it, you you know what that was. And, then, go do more research, bring it up to date. I gave it the wrong date. Okay. So, yeah, I'm kind of I'm kinda looking I'm kinda looking through here, to see how each of them did.
Jordan Wilson [00:29:50]:
I'll have to do that later. And then the end deliverable was it was supposed to take all of this, and this is a project I would have an intern or, you know, a contractor or a part time person on my team probably work on. Right? Go find one of our more popular podcasts, you you know, that's older. Let's create a visual out of it. Let's put some more up to date and accurate information. Right? Because we're just creating a ton of content, and then it sits there and dies. Right? So this is a project I would actually give to someone. And then the end goal was to go inside of gamma.
Jordan Wilson [00:30:20]:
So it had access to all of our accounts. And the end goal was it was supposed to create a visual based on this, older popular podcast, but to make it more up to date with new information. So I'm looking at the, results here, and it, from OpenAI's Atlas, it looks like it found, which, I don't think it did a great job here thinking about this because one of the things about creating content that's old and trying to make it a little more evergreen is it can be based around a hard release. Right? Because you can't talk about a hard release a year later or three months later. So that's what it did. So it went through, it's it found that one of my more popular episodes from that quarter was going over Microsoft CoPilot's new agents. But those agents, you can't like, you can't say like, oh, GPT four. Right.
Jordan Wilson [00:31:12]:
And then update it a year later. So, don't really like what, Atlas did, in this instance, in the agent mode, it puts together a very non visual, deck like a slide. I wouldn't share this. And I did in the instructions, I believe I said a four by three carousel, which I don't think that's correct. I told it to use the agent mode. Yeah. Getting getting real crazy now. Telling agent modes to use other agent mode.
Jordan Wilson [00:31:44]:
So I told it to use the agent mode inside gamma to make it more visual, which it looks like it did not. So, I'd say probably like a c minus, here, from Atlas in the first prompt. It completed it, which is not easy. It was stringing together a lot of information. So it looks like factually kinda got mostly everything right, although I don't agree with its decision making process, and the end goal is not that good. The first time I ran it, it gave me, I'm showing it here to everyone else. It gave me a much better, visual, and it actually took the exact same, podcast. So did a better a better job on the visual, the first time than the second time, but that is Gen AI.
Jordan Wilson [00:32:24]:
Alright. Let's look at, let's see. Where are we? Where are we? Let's see. Oh, interesting. So it looks like this time, Comet followed up with some questions, which the first time it did not. So luckily I finished this once already. So let's go and find the first version that actually finished. There we go.
Jordan Wilson [00:32:55]:
So in this case, interesting, interestingly enough, right? And this is why, generative AI, it's like a roll of the dice sometimes. So the first time, I'll show you the results ready to go. Comet, went through and found an episode on how AI is making us more productive and dumber at the same time. So this was based on an older interview. It looks like episode four eighty seven. So it went through in the actual, kind of slides that it put together. It's pretty good. Right? I do know because I looked at this earlier, it did properly go out and find updated data, updated stats that were relevant.
Jordan Wilson [00:33:38]:
It took quotes from the episode, actual quotes, and it put together in an actual good looking visual. Right? Our live stream audience, can see this. So Comet did get tripped up on the I told it it was the 2024, even though it wasn't. So on the, the first run through, it did get mixed up on that. On the second run through, it didn't, but it didn't complete the full run. So it's hard to grade this one. So I'll say the second grade for Comet, the one we did live was incomplete. But the first one, I'll say it was probably a a a b.
Jordan Wilson [00:34:14]:
Pretty good. Right? Again, this is not an easy task. Alright. So let's look at the second prompt, and this was, again, looking at all these different polls. There's hundreds of polls. I asked for some specific information. Right? Five direct ways we can improve everyday AI, Five audience trends I may not be aware of. The five most popular polls by the, average number of responses, per appearance.
Jordan Wilson [00:34:36]:
And then five topic ideas, from a popular poll in the last three months that we have not covered yet on everyday AI. So pretty tricky. The last one, little tricky. So let's go over to, OpenAI's Atlas and see how it did. One thing I like about Atlas is I can drag, kind of the, the ask chat g b t side note over there. So this one went on for nine minutes. And again, you should always, I clicked on the kind of chain of thought. You should always read it, check accuracy, verify all those things.
Jordan Wilson [00:35:12]:
This is the quote unquote human in the loop. Alright. So first, it gave me the direct ways to improve the everyday AI podcast newsletter. Okay. And it looks like it's pulling out some specifics pretty good. It it give me the, audience trends I may not have noticed. So let's see. It says the most click poll options focus on hands on productivity tools.
Jordan Wilson [00:35:34]:
Excel, agent mode, AI and sheets, connectors, listeners want content that helps them apply AI immediately. That's something I knew, but it's nice to, have, Comet reiterate that. Also, one of the audience trends I didn't know is, people are curious about AGI timelines. Then it sound it found me the most popular polls by average responses per appearance. That's great. Saved me a little bit of math that I didn't want to do exporting, sorting. Alright. I didn't want to do that.
Jordan Wilson [00:36:04]:
But it looks like a lot of people participate in the polls that I ask people, for AI work on Wednesdays, topic ideas. Then it got me topic ideas from recent polls. So this is correct. I did not yet do agent mode in Excel. It actually tied, for a poll one day, so I didn't do that. AI functions in Google Sheets. I kind of already did a show on that. Chad GPT pulse didn't do that.
Jordan Wilson [00:36:31]:
Sora two didn't really do a hands on tutorial and then Gemini deep think mode. Alright. Interesting. So gave me some ideas there. Alright. Let's now quickly check, in on Comet. So Comet, I'm trying to remember if I can pull this over. It's hard.
Jordan Wilson [00:36:51]:
Okay. There we go. So let's see if Comet passed. So give me five very direct ways to improve the everyday AI newsletter podcast. What I see immediately is it gave me a much more analytical and detailed, breakdown Comet did. So there we go. It gave me five audience trends you may not be aware of. So it said polls about AI ethics, trust, and social impact, generate consistent 30 to 40 response rates indicating your audience cares deeply.
Jordan Wilson [00:37:22]:
Okay. That's something I didn't know. Maybe I should ask the, you know, asking more polls on those kind of, softer topics. Five most popular polls. There we go. Did a good job. And then it gave me five topic ideas. Let's see if it's things I've covered.
Jordan Wilson [00:37:38]:
So I've kind of covered some of these things, top AI agent platforms, real world business applications. Oh, no. Wait. Actually, perplexity comment was the only one that did this right. So I said, give me five topic ideas. And for each of those topic ideas, there should be five supporting bullet points. Oh, no. Opening Eyes Atlas did it as well.
Jordan Wilson [00:38:01]:
So pretty good job. So I'm gonna say, on this one, OpenAI's Atlas. Yeah. I'm gonna I'm gonna give it a a B minus, and I'm gonna give Comet, actually a B plus here. Much better job. So in these two scenarios, kind of a mixed bag, we got some incomplete, but Hey, such as doing live demos on generative AI. Let's go ahead, and wrap this up. So here's what I want to end with.
Jordan Wilson [00:38:31]:
My final take or verdict. Which one should you use? Are they good? Are they worth your time? Well, I'll say this. I say there's no real downside to using an agentic browser. Right? This is coming from someone that I've been using Google Chrome. I don't know, at least fifteen years. I think it's been out for like seventeen years. I'm sure I've been using it since essentially it came out. It was hard for me at first, but given these are based on Chromium, they import, they do properly import your bookmarks, your passwords, etcetera.
Jordan Wilson [00:39:03]:
Comet properly imports your bookmarks or sorry, your extensions. Atlas does not. So I'll say this, Comet was the first big AI player to the market in agentic browsers. I say big market, you know, big player. We had Dia, we had some others, right? Arc, and there's been agentic features in Microsoft Edge and obviously in Google Chrome. But Comet is the first big AI player to go fully agentic browser, and they've had months of updates. So even in terms of output in deliverables, even in our head to head showdown, I think Comet did a little better, but that's also because Atlas has been out, like not even like forty eight hours. Right? I would assume it's going to continue to approve.
Jordan Wilson [00:39:48]:
So Comet is fairly stable and it's very diverse in terms of its utility. It's seemingly quicker for most everyday tasks versus, Chad GPT, in their Atlas, especially if you're using the agent mode. I think right now, it has a higher floor than Atlas, but a much lower ceiling. Atlas, on the other hand, from OpenAI, it feels a little more premium, right? It feels a little more polished, even though there's some things on the UI UX I don't like. It does have a very Apple ask feel where I think sometimes comment is a little clunky. Atlas to me just makes sense. Even though there's a lot of features and bells and whistles, it's easy to use. However, it is painfully slow, especially in agent mode.
Jordan Wilson [00:40:39]:
And it's not good at scrolling, right? That's a small thing, but it makes a big difference. I think if you really want to take advantage of what these agentic browsers have to offer, it is stringing together. Like I talked about in the beginning of the show, it's stringing together multitask, multi platform, multi tab, multi software application, strings because that's how humans work. And so much of that is scrolling, right? So it's a small thing that OpenAI and Atlas will hopefully get figured out, but it's, it's a huge pain right now. In agent mode, in particular is not that great. If you're using, just the kind of built in agentic features inside Atlas, really good. The actual agent mode where it's clicking, it's scrolling, it's using the, the the the graphical interface. It's it's typing.
Jordan Wilson [00:41:28]:
It's a little slower than comment. I do think that'll go better and go faster and improve over time. But I do think that the upside of Atlas is very high, especially if OpenAI continues to update it and strengthens and improves and integrate some of the core chat GPC integrations into Atlas. I do think Atlas is open AI's biggest play and biggest gamble. If they want to be the AI operating system of the future, they have to get Atlas. Right. But at least right away, I gotta, I gotta say there's a huge benefit that I wasn't really testing here, for Atlas, which is bringing in all of your chat GBT context. So I'll end with this.
Jordan Wilson [00:42:13]:
If you are a chat GBT power user like myself, I think Atlas is worth it for that reason. If you're not a chat GBT power user, I think Comet, at least for now, is the agentic browser for you. Alright. I hope this was helpful. If so, go repost this show. Alright. And I will send you that complete Comet versus Atlas deep dive guide. I didn't have time to get to all of it in today's show.
Jordan Wilson [00:42:38]:
We already went longer than I wanted to, but go repost this. I will share this. You know, I we we spend so much time putting this together, trying to give you a no BS, look into give you a cheat code to be the smartest person in AI in your company or in your department. Sometimes we just ask, Hey, go, go share the love. Don't keep this thing to yourself. So please go repost this. Give me a day or a week. You know, sometimes I miss people, if they repost it and I will send that to you.
Jordan Wilson [00:43:06]:
All right. So make sure, you go do that. Tell someone about it. And then when you're done, make sure you go to youreverydayai.com. Sign up for the free daily newsletter. Thanks for tuning in. Hope to see you back tomorrow and everyday for more everyday AI. Thanks, y'all.