无影指尖:我如何让 AI 代理接管浏览器与系统
在与 Jesse Jana 的一次对话中,她提到 人工智能(Artificial Intelligence: 模拟人类智能的技术)对母亲们来说非常棒,因为母亲们的手总是很忙,无暇进行打字交流。本期视频将以此为灵感,主题称为**“瞧,妈妈,我没用手”(Look Ma, No Hands),重点探讨浏览器使用**(Browser Use: 让 AI 代理直接操作浏览器并执行任务的技术)与计算机使用(Computer Use: 允许 AI 模拟鼠标 and 键盘操作来控制整台电脑的技术)。我将通过三个具体的场景——开发者场景、生产力场景以及个人娱乐场景,来展示如何让 AI 代理接管你的浏览器和系统,替你完成数字世界中的各种繁杂工作。
本期视频由 Runway(Runway: 领先的 AI 创意内容生成平台)赞助。Runway 是一个全新的创意平台,集成了生成图像、视频或任何内容所需的一切。通过 Runway,您可以在几分钟内将初步创意转化为最终的交付物,帮助团队在不增加预算和时间成本的前提下,成倍扩大创意野心。这也是为什么微软、Robin Hood、亚马逊、Adobe 以及 Lionsgate 和 Legendary 等工作室都在日常工作中日常使用 Runway 交付实际成果的原因。
近期,浏览器和计算机使用技术取得了突破性的进展,特别是在我使用 Codex(Codex: 由 OpenAI 开发的具身智能桌面端应用)和 GPT-5.6 模型的体验中。许多人可能错过了这方面的最新进展,需要明确的是,现在的大语言模型(Large Language Model: 基于海量文本训练的 AI 系统)已经可以直接控制你的电脑和浏览器。虽然过去一年出现了一批 AI 原生浏览器(例如 Perplexity 的 Comet 或 ChatGPT 的 Atlas),但我个人更倾向于直接通过 Claude 桌面端或 Codex 桌面端来使用 these 功能。之所以选择 Codex 桌面端应用(或者说最近大家称呼的 ChatGPT 桌面应用),是因为它在控制鼠标、键盘和整台电脑方面表现最为出色。它就像是一个虚拟的同事,能够直接把手放在你的键盘上帮你搞定工作。
虽然让 AI 控制电脑听起来有些令人担忧,但这实际上是 AI 最具变革性的功能之一,它不仅能改变你的职业工作流,还能极大地减少日常的个人“数字劳役”。要在本地运行这些功能,你需要安装对应的桌面端应用程序,并安装 Chrome 浏览器中的官方浏览器插件(例如 Codex 浏览器插件或 Claude 浏览器插件)。通过桌面端应用与 Chrome 插件的协同配合,AI 就能在你的系统上大展身手。然而,真正的诀窍在于找到合适的应用场景。在深入使用这一技术后,我总结了几个独特且有趣的案例,希望能为你带来启发。
Original English Source
One of my favorite guests ever, Jesse Jana, said that AI was great for moms because mom's hands are always busy. We're always doing something with our hands and we do not have time to talk. Now, in that episode, she was talking about the benefits of chatting with AI. But in this episode, which I'm going to lovingly call, look ma, no hands, I'm going to talk about browser and computer use. The way that you can let AI navigate your computer and navigate websites to get work done on your behalf. Browser and computer use have gotten exceptionally good recently, especially in my experience with codecs and the GPT 5.6 models, and I'm going to show you a builder use case, a productivity use case, and a personal fund use case that I found super useful in using computer and browser use. Let's get [music] to it. This episode is brought to you by Runway, a new kind of creative platform that has everything you need to generate any image, video, or piece of content you want, all in one place. [music] With Runway, it's now possible to go from initial idea to a finished deliverable in a matter of minutes. [music] From turning low-fidelity product shots into campaign ready imagery all the way through putting together big brand films, Runway can help your team scale your creative ambitions while keeping your budgets and timelines from doing the same. [music] Runray brings together the world's most advanced AI models. Which is why enterprises like Microsoft, Robin Hood, Amazon, and Adobe along with studios like Lionsgate, and Legendary all use Runway to ship real work every day. Try it yourself at runwayml.com/howi. Promo code how I AI. Okay, before we dive into how I use computer use, just a refresher for anybody who's new in case you missed it. These LLMs, your AI chatbot can control your computer and can control your browser. Now there have been a class of AI native browsers that have come out in the last year thinking about perplexities comet or chat GPT's Atlas but I like to use browser and computer use directly through claude or in this instance codeex. Why have I used codec specifically the codec desktop app or I guess we're calling it the Chad GPT desktop app these days? Well, it is just the best at controlling my computer. And if you didn't know, it can control the mouse. It can control the keyboard. It can do all sorts of things. So imagine you have a virtual co-orker and that co-orker can put its hands on your keyboard and get stuff done on your computer. That is what browser and computer use can do. Now this sounds really scary, but in fact it has been one of the most life-changing features of AI. certainly professionally changing, but has also reduced so much personal toil and personal digital toil that I had to tell you about a couple of the use cases that I use because I literally use this every minute of every day. Now, invoking browser or computer use is pretty simple. First, you have to have those desktop apps installed on your computer. So whether those are the Chad GBT desktop app or the claw desktop app, you need those installed. If you want to use the browser, you need to have the browser extensions installed inside Chrome. I don't know if they work for these other browsers. I just use Chrome and I know they have browser extensions. So you can just search for, for example, Codeex browser extension or quad browser extension. Make sure they're they're the official ones and then install those. And then these two things together, the desktop app plus the Chrome extension can really allow your computer plus AI to do a lot of work on your behalf. Now, it sounds really simple. Let your AI use your computer. But the trick, and this is the how I AI sort of mantra, is you have to find a good use case for browser use. And having used browser and computer use for a while, I think I've come up with a couple unique and interesting use cases that maybe will inspire you. and give you some ideas about how you can use it in your work and life.
极限质检:AI 代理在端到端测试中的极限压测
我们首先从面向程序员、氛围程序员(Vibe Coders)以及专业软件工程师的场景开始:使用浏览器控制功能配合编码代理来验证代码变更。以 ChatPRD(ChatPRD: 帮助产品经理快速撰写 PRD 的 AI 工具)的注册引导流程(Onboarding Flow)为例,当开发者对该功能进行了某些优化后,通常需要验证所有改动是否运行良好。虽然我们可以在后端编写冒烟测试(Smoke Test: 验证软件核心功能是否正常的最基本测试),或者为前端编写单元测试,但我们最想知道的仍然是:这个产品好用吗?它足够易用吗?
在建立这种自动化验证思路后,具体的操作流程如下:我们可以直接在 Codex 中调用浏览器功能。在 Codex 中,有三种方式可以调用计算机使用:
- 使用
@browser唤起侧边浏览器窗口; - 使用
@Chrome通过 Chrome 插件来管理 Chrome 浏览器; - 使用
@computer让 AI 控制整台电脑系统。
由于我已经在本地的浏览器中登录了 Localhost 端口,我直接输入指令:“使用浏览器测试注册引导流程的可用性与移动端响应式设计,在测试过程中进行截图,并将发现的任何问题整理成一张 Google 电子表格。”点击提交后,Codex 就会启动其内置的浏览器工具,你会看到一个发光的鼠标指针移动到浏览器区域,开始自动点击各个元素、测试下拉菜单并调整视口大小。
观看 AI 进行端到端测试(End-to-End Testing: 模拟真实用户路径的完整系统测试)的过程非常奇妙。相比于人类,AI 进行自动化质量保证(Automated QA: 自动执行软件测试以验证其功能和体验的过程)更加详尽且有条理。人类在手动 QA 时往往会产生“快乐路径偏见”(Happy Path Bias),即只测试那些正常输入和顺利通关的步骤,而不会疲惫地去尝试退回或破坏流程。然而,AI 代理会不厌其烦地穷尽各种可能:测试以团队身份注册、以个人身份注册、填写各种表单字段、故意触发错误状态等。对于 frontier 模型,少给指令(Underprompting)往往能获得更好的测试效果,因为它们足够聪明,你只需直接要求它“QA 注册流程”,它就会自主制定计划并执行。
在本次测试中,Codex 确实发现了一个我此前一直忽略的阻塞性问题:如果在特定页面上什么都不选就点击继续,页面虽然不会跳转,但系统也没有给出任何错误提示或验证反馈。这就是人类测试的局限性——因为我作为开发者测试时总是会点击选项。随后,Codex 切换到了移动端视口,模拟手机尺寸来检查可访问性、内容溢出和触摸目标(Touch Targets)。最终,它一共发现了 11 个问题(包括 1 个高优先级的导航阻塞问题),并自动生成了一份包含复现步骤、视口尺寸、修复建议以及带嵌入截图的 Google 电子表格。我们可以直接将这份表格输入给子代理(Subagents)来启动自动化热修复。
Original English Source
We're going to start with a use case out there for all the coders and all the vibe coders and all the professional software engineers, which is using browser use alongside a coding agent to validate changes. Now, this is very simple, but one that I use quite a bit. So, what I'm showing here is the chat PRD onboarding flow. It's just a step by step where you fill out your profile. Let's say I was working on some enhancements on this feature and really wanted someone and by someone I mean GPT56 soul to validate that all those features work really well. Now I could write what AI loves a smoke test. I can definitely test things on the back end. I can definitely write tests for the front end. But what I really want to know is is it usable? Can we use it? And so what I might do here is say use browser and there are three ways you can invoke kind of computer use in codecs. You can do at browser that will pull up use of this side browser window. There is at Chrome which will use the Chrome extension to manage Chrome and then there's at computer which lets it manage the whole computer just just so you know. But I'm going to say use browser because I'm already logged into my local host over here on the browser and I say to test the open onboarding flow for usability and mobile responsiveness. Please screenshot as you go and make a Google spreadsheet of any issues you identify. Okay. So, I'm going to click submit and let that run. And what that's going to do is spin up the browser skill which is embedded in codeex. And you'll actually see this little cursor start to go over to the browser side and walk through the onboarding flow. Why I think this is useful is this is how I would test if this is working. You know, I would go through, I would click, I would test all the drop downs, I would change the viewport sizes. And what's really nice about browser use in this instance is all of that can happen automatically. I can just sit back and watch it go. And I will tell you, it's really fascinating to watch these things go. If you have looked at that little glowy cursor and watched it bop around your website, click things, test things, you know the magic feeling of this particular AI feature. Now what I love about using browser use specifically for QA purposes is it is exhaustive or it is more exhaustive and organized than I as a human would be. I don't know about you all, but when I am QAing things, I like to do the happy path QA where it's like, yes, I fill out all the form fields, everything that's required. I click next. I don't get tired. I don't go back. But you can see here my little glowy codeex browser icon. It's going to be exhaustive. It's going to test signing up with a team. It's going to test signing up as an individual. It's going to fill out form fields. It's going to try for error states. It's going to do all these things that you wouldn't probably have the stamina or organization to do if you were like me a little late in the afternoon after coding and asked to sort of manually test your web app. And so what I really like about this is its ability to be exhaustive. Now, if I were being a little bit more organized, I would probably have it come up with a suite of test cases based on the code, then go through those test cases kind of specifically over time. So, I knew it was being exhaustive. That being said, you know, side tip for some of these newer models, I actually found that underprompting these models gets you a much better effect than overprompting them. And so because they're so intelligent, you can literally just tell them QA the onboarding flow and it will do a much better job than saying QA these 25 things in the onboarding flow. So a little tip underprompt your frontier models. Let them use their that intelligence to come up with their own plans and do what it wants to do. Now we're going to watch this a little bit. And what I like about what I've told it to do is it also is being asked to look at responsive design. And even seeing here, I see an issue with the um right hand of the browser. I'm curious if that's actually an artifact of how this responsive browser inside codeex works or if it's an issue with my responsive design. We will see. But you can also see that it's changing the dimensions of the viewport. to the size of the monitor to match laptop size. It's going to show matching a phone size, all those things. Again, things that I could technically do manually that I really don't want to do. I'm going to let this run and then I'm going to show you one other use case as a builder that I think is a little bit more unique that you might find inspirational. Okay, so something interesting here. It did find an issue. Now, I'm a little embarrassed because this onboarding flow has been here for a while. um it surfaced one blocking issue which is if you don't select anything on this page you can still click continue but it won't move forward because one of these fields is required but there's no validation code in here. Now again the reason why this bug exists is because I always tested this flow as a human and I always clicked the required buttons. So again, these benefits of having AI test your flow is it will test failure states as well as success states. It actually bubble up edge case bugs that you might not have thought of. And so it's going to continue through and actually work and go to the next screen. I'm curious if it will spin up mobile testing next. Okay, you can see now it's also switched to mobile testing. Again, this is something I would probably give a cursory glance to. Like, I would make the browser smaller and then kind of click through stuff and make sure it works. But what I really love about browser use is again, it's going to be just a lot more exhaustive. It's going to look at things like accessibility. It's going to look at overflow. It's going to look at touch targets, all that kind of stuff, and just has a much more organized sense of what makes for good mobile testing. Okay, so it wrapped up. It found 11 items including one high severity navigation blocker, the one we talked about. And now this is one of my favorite things that I do with AI is I just have it make me a Google sheet or a Google document. And it's going to make me one with this prioritized. And then what I can do is use that Google sheet as a tracker to kick off a bunch of fixes and track the status of them with sub agents. So again, this is a very comprehensive QA that was done. I get this beautiful list of issues that came out. I can get those fixed ASAP and it ends up in a sheet. Okay, so it wrapped up and it did everything I asked it to. It tested it in desktop and mobile. It gave me these beautiful screenshots telling me what work and it even made a spreadsheet. Let's see if this spreadsheet is actually if I can pull it up. So, I love this flow, this workflow, which is to have Codeex make you a spreadsheet of issues that then it's going to go fix. And so, it has this nice summary. It found 11 issues, one that was high severity. It listed out all the issues. Again, this is really useful for agents because it has all the information it needs to reproduce the issue. The viewport, what the issue was, what the steps are to fix it, and then how to remediate it. And then look at this. It put all the screenshots here in the spreadsheet so I could reference them and even compare them to fixes. So, this is just a very practical use case of browser use that I think is really nice.
体验批判:利用 Persona 模拟揭示交互断裂
除了常规的软件测试,我的丈夫 EJ Lawless 提出了一个更加有趣的升级玩法:利用浏览器操作功能让 AI 模拟特定的用户画像(User Persona: 代表典型用户群体的虚拟角色),在实际使用产品后给出研究级别的反馈报告。
为了验证这一点,我让 Codex 进入 ChatPRD 的核心创建模式,并分别扮演三个不同的角色:
- 扮演产品经理(Product Manager),模拟在刚刚结束客户设计会议后,需要快速生成一个关于“决策摘要”(Decision Digest)功能的 PRD 文档;
- 扮演软件工程师(Software Engineer),模拟拿到了前面生成的 PRD,并试图将其转化为技术规范(Technical Spec)及原型代码;
- 扮演团队领导(Team Leader),试图理清团队成员是如何使用 ChatPRD 协作的。
我没有给 AI 任何额外的操作限制,仅让它在这三个角色的视角下完整体验浏览器流程,并最终提交一份包含摩擦点(Friction Points)、愉悦点以及改进建议的研究报告。
本期视频由 Hyper Agent(Hyper Agent: 全天候自主运行业务的 AI 代理部署平台)赞助。Hyper Agent 是一个部署全天候运行 AI 代理来运营业务的平台。您可以直接在云端构建代理,并部署到 Slack、Telegram 或电子邮件等已有工作流中。代理可以自动扫描收件箱、草拟回复、监控竞争对手、甚至在 Salesforce 交易变冷时撰写挽回邮件。它们是具有学习和保留 playbook 能力的专业助手。How I AI 的听众可以获得 1000 美元的免费推理额度,在 hyperagent.com/howi 领取。
在运行过程中,Codex 扮演的 PM 顺利地在 ChatPRD 中输入了模拟的设计会议纪要,并观察文档的生成质量。然而,当流程流转到“工程师角色”时,AI 代理的内部思考链(Chain of Thought: 模型在输出答案前的逐步推理过程)暴露了 ChatPRD 的一个结构性缺陷:工程师想要在另一个新对话中引用或艾特(@mention)刚刚 PM 生成的 PRD 文档,但系统目前并不支持这种跨线程的文档引用。这种由“代理之眼”(Agent Eyes)发现的交互断裂(Structural Break),恰恰是普通用户在实际使用中会遇到的痛点。此外,扮演工程师的 AI 代理还指出了一个反馈问题:系统在生成文档时的加载界面非常缓慢且不透明,用户无法清晰感知系统在后台的具体动作。通过将浏览器操作与用户画像模拟相结合,开发者能够以全新的“旁观者视角”审视产品,捕捉到那些细微却致命的体验漏洞。
Original English Source
But what I want to show you is the same thing, but a slightly more fun use case. So, I'm going to go in here. I'm going to go to the core of chat PRD and I'm going to show you a use case that my husband came up with. I have to give him credit. My husband EJ Lawless and he uses browser use to impersonate specific personas of his applications and then give feedback as the persona. So, let me just give an example of what this might look like. And I'm going to pull up monologue and just speak my prompt. I want you to go through the core of chat PRD's chat and document creation mode as two different personas. Actually, three different personas. I want you to do one as a product manager trying to quickly create PRD for a feature that they just got out of a meeting um about. The second thing I want you to do is impersonate a engineer who is taking that already created PRD and trying to make a technical spec out of it and eventually a prototype. And the third thing that I want you to do is as a team leader try to figure out how your team is using chat PRD. I'm going to give you no more instructions than just that. I want you to go through those three persona use cases and flows and then I want you to create a doc providing research style critique about the overall experience including friction points, places of delight, and improvements you think we can make to serve those three personas better. Okay, so I got that prompt in. I'm going to click enter. So, just to like reiterate what this is, if you have personas and you want to test against those personas. Now, like I'm not a big synthetic user girl, but I do kind of like this framework. We used to always do this with our prompting where we're like, you are a genius product manager or you are the best software engineer in the world. Now, I'm using that, but I'm using browser use and saying, you are a persona type. use my application as that persona and then give me research as you go through the browser experience about what you like and don't like. So, I'm going to let that run a little bit and then I will show you what we come up with when it's done. As you can see here, it's going down the PM path. It just put a fake prompt in that says, "Hey, I just got out of a customer design meeting about a decision digest feature in chat PR. Here are the problems. Here's like kind of what I want. Here are some open questions." And now it's watching chatp prd create the document. I'm really curious if it will actually analyze the quality of the document itself or not. You know, it's giving me good positive feedback as we go, but we're going to watch this. We're kind of like speed through some of the the browser use. I will say one downside of browser use is it's kind of slow. So, honestly, when this is running, I typically open up something else on the side and like work on something else as the browser is is running its flow, but it's going to go through and give me an analysis as that first persona, and then we're going to see it work through the rest of them. This episode is brought to you by Hyper Agent, the platform [music] for deploying always on agents that actually run your business. With Hyper Agent, you build agents in the cloud and deploy them where your work already [music] happens, like Slack, Telegram, or email. An agent will scan your inbox and draft replies to vendor follow-ups. Another monitors competitors and spins up rich ad kits and landing [music] pages. A third notices a deal going cold in Salesforce and writes the save email with full account context. These aren't chat bots waiting for a perfect prompt. They're proactive, [music] learning your preferences, retaining your playbooks, and getting better with every run. One user built four agents to run an outbound sales pipeline, prospecting, outreach, follow-ups, CRM updates, all in a single afternoon. No local setup, no VPS bills, no fragile permissions on your laptop, just powerful agents with full control over skills, tools, and guard rails. Hyper Agent was built by the team behind Air Table and How I AI listeners get $1,000 in free inference to start building. Claim yours at hyperagent.com/h how i. Okay, so I love this internal kind of like chain of thought that you get with browser use. So what it tried to do was do the handoff from PM to engineering. And what you see here is that the engineer handoff exposed a structural break which is a real issue in chat purity which is you can create one document but you can't like atmention or reference it in another thread. It's something that we're working on or thinking through how we want to reference. It works in a specific way but obviously the agent here the codeex agent thought reasoned um that this feature would work a different way. And so it's really interesting when you combine browser use with sort of this AI chatbot, how you start to inhabit the mindset of a persona or a type of user and actually identify really obvious but kind of like hard to get your head wrapped around friction points where someone with fresh eyes, again these are agent eyes. I'm sorry. I don't know a better metaphor. Um might have a challenge. And so it went back to the document said, "I'm the engineer picking up this PRD. turn it into an implementation ready technical spec. We'll see what the experience is and if the agent is happy. Okay, it called out something really interesting here which I don't know if it's an artifact of this running locally and something weird being happening locally, but it did call out that the loading screen was super slow and opaque and the interface didn't really make it clear what was happening when it was writing. I think we hit an error, but this is really good feedback for me because again, I want to make sure even if we have a failure state, it's going to make sense quote unquote to the user. So, just to take a step back, I really love this use case of coming up with a persona that kind of inhabits the mind and in this world the body of your user and then have them going through your website using browser use and giving you a report of what works and what doesn't.
无缝穿梭:从社交筛选到软硬件协同自治
除了上述的构建者场景,浏览器操作在日常生产力和个人生活中同样有着极为广泛的应用。在生产力方面,我经常在侧边栏中登录 LinkedIn(LinkedIn: 全球专业社交网络平台),并命令 AI:“使用浏览器帮我浏览最近的未读消息,回复那些至关重要的合作邀请,而对于友好的谢谢或问候,则以得体的方式直接回复,其余消息整理成摘要留给我。”这帮我极大地筛选了每天数百条的社交网络消息。在处理此类简单任务时,我们完全可以将 AI 的工作强度从高能耗的 56 Soul 模型下调至中等强度的 Terra 模型,从而大幅提升执行速度并降低成本。
更有趣的是,浏览器与计算机控制甚至能够打破软硬件的边界,实现跨设备协同(Cross-device Orchestration: 协调多个物理设备完成任务)。有一次我身处外地,而我的 Mac Mini 托管在加州的办公室。由于网络变动,我需要远程 SSH 连接到我的 MacBook,但这需要先通过我手机上的 Wi-Fi 管理软件打开防火墙网关。在传统的远程操作中,这几乎是不可能完成的任务。但我通过桌面端的 Codex 唤起了 macOS 的 iPhone 镜像(iPhone Mirroring)功能。Codex 模拟鼠标和键盘,在镜像屏幕上操作我手机中的路由管理 App,成功更新了路由器设置、打开了网关,并在我完成 SSH 远程连接并恢复 Open Clause 进程后,自动关闭了所有临时开放的端口。
在个人生活场景中,这种自主性同样带来了极大的乐趣。例如,在我即将前往夏威夷度假前,因为我是一个刚刚生产 6 个月的哺乳期妈妈,需要舒适、透气且方便哺乳的衣服。我向 AI 表达了这一诉求,并让它利用 Chrome 浏览器去 Free People 官网的折扣区挑选 10 件符合我中码(Medium)尺寸的度假衣物并加入购物车。虽然它最开始挑了一条不太适合哺乳期妈妈的超短裙,需要我作为“人类验证层”(Human Verification Layer)进行微调,但它最终成功为我挑选了马克西长裙(Maxi Dress)、裙套、宽松裤、吊带衫、衬衫等 10 件衣物,在叠加 extra 25% 折扣前总价为 352 美元。
无论是繁琐的表格填写、夏令营注册、还是在 MCP 插件受到权限限制时直接打开浏览器执行复杂操作,计算机使用功能都极立地拓宽了我们与数字世界交互的边界。这种“即使我不在电脑前,事情依然能被搞定”的无感自动化,正是我们享受假期的底气所在。
Original English Source
Okay, so those are my building use cases. I'm going to zip through a couple other use cases that I think are kind of fun. So, my favorite one, I've talked about this a little bit briefly before, which is browser use for LinkedIn. LinkedIn. Close your eyes. Close your ears. Do not pay attention. But I like to log into LinkedIn here in my sidebar. And then I like to say, "Please use browser to go through my recent unread messages and um reply to any that are super critical. Can't type for chat purity or the podcast. Leave me notes here on the others about how I should reply. If this is just a friendly thank you, no, reply in a friendly way. So, this is just like the easiest way to go through the pile of LinkedIn requests I get. I love you all. Thank you for connecting with me on LinkedIn. I'm happy to be connected, but I get hundreds of these. And so I love to use browser use to just go through LinkedIn, click through stuff, read it. Again, LinkedIn doesn't have an MCP or an API that's official. So we're using unofficial channels here to go through stuff. One of the other things that I noticed is I am using high effort on 56 soul for this. I probably can use Terra on medium effort and it might be a lot faster. And so again, you can calibrate your browser use effort and level of intelligence to whatever you need. I was definitely overusing it for LinkedIn replying. Um, but again, you know, maybe it requires a little bit of work. All right, so as you can see, it's pulling up LinkedIn. It's going through my messages. Christy is my friend. We used to be um colleagues. She's asking me to meet with her CEO. We're going to see it reply back a message. go to unreads um and then actually filter through this. So if you're like me, if you have tons of LinkedIn connections, LinkedIn comments, need to figure out how to get through this stuff, I love using browser use to go through those use cases. Going to wrap this up with a browser use case for the girls. Um gents, others, if you want to use this one, please do. But I am going to use at Chrome. So, I'm going to show you how you use the computer use, but specifically for Chrome. So, I've been using app browser, which is the side um window of codeex. I'm going to use at Chrome, and I'm going to say, I'm going to Hawaii this weekend, and I need new clothes. Good news. Exclamation mark. Free people has 25% off their sale. I would love for you to go through using Chrome browser use and pick out 10 items in my size. is you can pick size medium that would be great for Hawaii. Remember, I'm a breastfeeding mom. I just had a baby 6 months ago. So, pick things that are comfortable, that are breastfeeding friendly. Um, and that would be great for the weather in Hawaii in late July. What I want you to do is end up with 10 things in my cart that I can pick from and buy. Thanks. Always say thank you to your AI. Okay, so I'm going to put that in. It should spin up. It's going to use Chrome to curate 10 medium sale eligible pieces that are breathable, comfortable, and easy to nurse in and then add them to my cart without checking out. And so again, this is something that can be happening over on the side. I do not need to think about it. I do not need to manage it or monitor it. It is, as you can see here, this little browser window will pop up and actually show you what it's doing. I think this is such a cool feature of Codeex is that it will actually show you what it's browsing. It's going to go through the sale and it's going to pick out outfits for me. Now, we're off to a bad start because I did say that I was a relatively new postpartum mom and it did pick a mini skirt. So, I'm not quite sure we'll see what good fashion sense that 5.6 six. Terra has TBD. But again, just like think about these kind of like annoying shopping use cases that you have to use a browser for that require a lot of like filtering and interaction and you can just go through and have it shop for you. And now I'm going to pull up this browser and show you. Oh. Uhoh. Bad news bears. Look, it thinks that I'm an agent, which I am. Sorry. This is much cuter. So, you might have to be the hands for your AI. I tell people this all the time. Sometimes we put AI to use for us and then sometimes we need AI to put us to use. And so, sometimes I'm just the human verification layer on top of chat GPT browser use. So, again, this is the shop. We will see how successful it is, if it adds stuff to the cart that I would really like. But again, I hope this is getting your mind open on what browser use and computer use can do for you. Okay, I'm going to list just a couple other things that I use browser and computer use for that you might find interesting. One, filling out really, really annoying forms. So, if you ever have to do procurement forms, if you have to ever ever have to register your kid for camp, if you ever have to fill out an old old old website, um, browser and computer use is really great for you. Second one, browser and computer use can actually run your phone. I did this the other day. So, if you're on a Mac, you have something called iPhone mirroring where you can actually pull up a version of your phone on your desktop. Computer use can use iPhone mirroring. So, your computer can technically use your phone. How did I use this recently? Well, I was out of state and my Mac minis were sitting here on my desk here in California and I needed to hack into my Wi-Fi so I needed to open up some firewall gateways so I could remotely SSH in. Sorry, I'm just going really nerdy. So I could like remotely SSH into my MacBooks and like revive the open clause cuz it wasn't on the same network. My Wi-Fi management software is on my phone. So I opened up Codeex. I opened up screen mirroring and I had Codeex use computer use to set up the right settings on my home Wi-Fi, update my router, SSH into my MacBooks, and then close all the ports when it was done. It was pretty amazing. It was really good. So you can definitely use computer use to use your phone. And then the last thing that I do is I use computer use a lot to make like Google documents and Google Sheets. So sometimes I'm just not happy with what is being used with like the MCPS and the plugins in codecs. So if it hits kind of like access use or it can't do something via an MCP, if you are permissive enough, you can just say like please just open up my browser and do it in the browser and it will do a very very good job. So look now my Free People cart has 10 sale items, all size medium, totaling $352 before Sachs tax, the extra 25%. Um, what did it give me? A maxi dress, great. A skirt set, great. Loosey goosey pants. Amazing. Shorts, great. Um, t-shirt. Oh, look at this tank. Perfect. Perfect. Perfect. A blouse, a button, a couple button-d downs, a little V-neck. It did a really, really good job. So, this turned This started with um browser use as a uh debugging tool and ended with browser use as your personal shopper. Again, this is my favorite feature, y'all. If you have not tried it, especially with codecs, it is a 100 out of 10. Everything is computer. And I really think that this is going to change how we interface with our digital lives. And again, my goal for most of AI is I can be not on my computer and stuff can still get done so I can enjoy my Hawaii vacation. This has been a very fun mini episode on browser use and computer use. If this is something you find interesting, let me know in the comments. I would love to hear how you use computer or browser use, what questions you have about privacy, what questions you have about security, and other things I can show you about how I AI. Thanks for joining this week, and I'll see you all soon. Thanks so much for watching. If you enjoyed this show, please like and subscribe here on YouTube, or even better, leave us a comment with your thoughts. You can also find this podcast on Apple Podcasts, Spotify, or your favorite podcast app. [music] Please consider leaving us a rating and review, which will help others find the show. You can see all our episodes and learn more about the show at howiaipod.com. See you [music] next time.