Insane Grok Bot Use Cases You Need To Start Using Right Now

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AAI LABS
컴퓨터/소프트웨어AI/미래기술

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00:00:00Elon Musk's new AI agent GrokBot is being used in really creative ways.
00:00:04GrokBot has made it so easy to automate tasks that we had to manually ask our agents to do.
00:00:10And what's different about it is that the setup needed to automate those tasks is the easiest one we've seen so far.
00:00:16None of the other tools even come close.
00:00:18Now if you're new to the channel, then welcome.
00:00:20We're a software company and this is AI Labs.
00:00:23And in this video, we're going through all eight of the most powerful ways you can use GrokBot,
00:00:27how you can get started with each one, and what things you need to be careful about while setting this up.
00:00:32Because if you don't set it up properly, then GrokBot is going to end up wasting your time instead of making you more productive.
00:00:38Now this section is for people who don't know what GrokBot is, so if you already know the basics, you can skip to the next section.
00:00:45GrokBot is basically a tool that lets you manage a group of agents from one place.
00:00:49It calls each agent a bot, and each bot can run all the time without relying on your computer.
00:00:54So even if your computer is turned off, the bots can keep working.
00:00:58GrokBot basically gives your agent its own computer that runs online.
00:01:01Every bot on your account uses that same computer, which means all the files that the bots create, the browser that they use, and any accounts you've logged into are shared between each bot.
00:01:11The bots can message each other and work together in a group chat, and you can also schedule them to do a particular task at a set time.
00:01:18All the bots also have access to a browser on that computer, and it's not a separate browser for each bot.
00:01:24Every bot actually shares the same one.
00:01:26You log into your accounts once, and after that, the bots can see what's on the screen and use those accounts to do tasks for you.
00:01:33This means they can use almost any website you use without you having to set everything up again for each bot.
00:01:38Now, you might think GrokBot sounds similar to Hermes, and the general idea is nearly the same, because in both cases, the agent can keep doing your work while you're not there.
00:01:46The difference is who sets and manages the computer it runs on.
00:01:49With Hermes, you're the one who has to set up and manage that computer yourself, including the tools that you need to connect to the agent, the browser, and its logins.
00:01:57With GrokBot, Grok handles all of that for you, and you just have to log into your accounts.
00:02:01To use GrokBot, you need a paid plan.
00:02:03It's included with every paid cursor plan or any SuperGrok plan.
00:02:07GrokBot also has its own separate weekly usage limit, so whatever your bots do doesn't count against the normal usage limit you already have in cursor or Grok.
00:02:16To set it up, you just need to download the app and run the installer.
00:02:19Once that's done, you can open GrokBot and create as many bots as you want.
00:02:23You can add a new bot using the button at the top.
00:02:25From there, it's going to open up a chat and ask you questions regarding what you want the bot to do,
00:02:30and from your conversations with it, it's going to update its profile.
00:02:33If you don't want to chat with it, you can directly edit its profiles and add in your instructions in its description.
00:02:39But before we move to the first use case, it would be great if you subscribe to the channel and hit the hype button.
00:02:44This small gesture of support goes a long way for us.
00:02:47So the first way you can use GrokBot is for testing.
00:02:50For example, if you're working on an app and it has different types of users, like an admin and a customer,
00:02:56you would normally need to log into all of those accounts yourself and check whether each person can only see and do what they're supposed to.
00:03:02Instead of you doing that yourself, you can let GrokBot do that for you.
00:03:06We also tested this on a demo app, which is a chatbot that gives people different levels of access depending on their role in the company.
00:03:13We created a separate bot for each role, along with a lead bot that manages the testing.
00:03:17Then we put all of them in the same group so they could talk to each other.
00:03:21You send the group a link to your product and the lead bot handles the rest.
00:03:24It tells each bot what to test and each bot runs those tests from its own screen.
00:03:29Then the lead bot takes everything they find and puts it into one report.
00:03:32Now you might think, why would we even use GrokBot for this when Cloud Code can already test your app in the browser?
00:03:38The reason is that your bots also have access to the accounts you've logged into on the shared computer,
00:03:44which normal browser testing doesn't have.
00:03:46So if the bot testing your app gets the wrong result,
00:03:49the lead bot can actually open tools you've connected to your app, like Superbase,
00:03:53and check what's going on behind the scenes to figure out where the problem is coming from.
00:03:57And since most of us build apps with agents like Codex or Cloud Code,
00:04:01you can also have them ask the lead bot to start testing as soon as a new feature is ready.
00:04:06To make that possible, there's a separate tool that directly lets agents use GrokBot.
00:04:10It lets you create bots, give them tasks, and do pretty much everything you can normally do in GrokBot.
00:04:15This means Cloud Code or Codex can start the test without you having to open GrokBot at all.
00:04:20To install this tool, you just need to copy the command from the repo linked in the description and run it.
00:04:25Once it's installed, you can start the testing directly from whichever agent you're using.
00:04:30So whenever you've finished a feature,
00:04:31you can simply prompt Cloud Code to start testing it with GrokBot.
00:04:35Cloud Code then sends the task to the group where the lead bot runs the whole testing round.
00:04:40At the end, you get one summary showing everything that passed and everything that failed.
00:04:44And you can use that information to fix any issue that comes up during testing.
00:04:48Now these bots that we created here, along with other resources, are all available for you in AI Labs Pro.
00:04:54So if you've found value in what we do and want to support the channel, this is the best way to do it.
00:04:58The link's in the description.
00:05:00You can also use GrokBot to provide support for your customers as well.
00:05:04For example, if you have an app and you get a lot of support emails, writing the replies is only part of the work.
00:05:09Before you can answer a support email, you first need to check whether the problem the customer is talking about is actually there and then update them on what you found.
00:05:17Most of the time, these issues don't show up in just the app itself.
00:05:21For example, a really common issue that often shows up is that people aren't able to log into their accounts.
00:05:26To verify this, you would need to check the Superbase and Stripe dashboard to see if they actually paid or not.
00:05:32GrokBot helps here because it has your accounts logged into it so that you don't have to view the dashboards by yourself.
00:05:38For this, you can create a support bot on GrokBot and connect it to Gmail so it can read new support emails and draft the replies for you.
00:05:45You just need to add the instructions you want it to follow in the description of the bot.
00:05:49The workflow is basically that it reads the unanswered emails, figures out what kind of problem each customer has, and then opens the browser and repeats the same steps the customer took.
00:05:59That browser check matters because the email only tells you what the customer saw.
00:06:03The bot still needs to find out what actually happened so it can figure out whether the problem came from something the customer did or if there's actually a problem with the app itself.
00:06:12It can also open up the dashboards and check things on there.
00:06:15Once it finishes that check, it adds what it found to the reply.
00:06:18And if the complaint is valid, the bot can make the fix itself and open a pull request, which is basically the fix waiting for you to check and approve it before it goes live.
00:06:28There are two ways to connect it to your inbox.
00:06:30You can either log into Gmail in the browser on the shared computer or you can connect the Gmail plugin by signing into your account.
00:06:36We used the plugin because it was easier to set up and it gives the bot the tools it needs to read emails and draft replies.
00:06:43Grokbot can also help you figure out why people leave your app, which is called churn.
00:06:47Most of the time, the reason people leave your app can be something so small that it looks completely fine to you.
00:06:53But in reality, it's confusing your potential customers.
00:06:56That's what makes these problems difficult to notice.
00:06:58Since you're the one who built the app, you already know how each feature works and what you're supposed to do.
00:07:04That's what makes it hard to understand what it's like for someone using the app for the first time.
00:07:09Now, you might think that we can already see who's leaving by looking at the database in Stripe.
00:07:13They might tell you who actually left, but they won't be able to tell you what made that person leave.
00:07:17For that, you need to understand where people actually get stuck.
00:07:20You need something that can open the app without already knowing how everything works and tell you what problems a new user might face.
00:07:27So to handle that testing, you can create a bot and tell it to find the points where a new user might leave.
00:07:32Then you give it a link to the app, ask it to go through everything and report what it finds.
00:07:36It then tests the app from all angles.
00:07:38It creates a fresh account and goes through the same steps a new user would.
00:07:42If a page doesn't load, a button doesn't work, or an instruction is confusing, it records the problem and takes a screenshot.
00:07:48And at the end, you can make the fixes using the report it gave.
00:07:51Now you can use that report to evaluate why people leave your apps early.
00:07:55But if you're using an agent in that app, it just sends a request and gets a response back.
00:07:59There's nothing on screen for anyone to notice.
00:08:01So when you ship an AI agent and the moment it's live with real users, you never find the problem.
00:08:06That's where today's sponsor, Respan, comes in.
00:08:08It's one platform that routes, traces, and evaluates every LLM call built for real, multi-step agents.
00:08:14The gateway gives you a single endpoint to over a thousand models with automatic failover when a provider goes down
00:08:20so you can swap models without rewriting anything, and since it's OpenAI compatible, setup takes minutes.
00:08:26Then there's tracing which shows you the full tree of every prompt, tool call, and response, so you see exactly what your agent did.
00:08:33The evals score your actual production traffic, so a prompt change isn't a guess anymore.
00:08:37It even watches your traffic and alerts you the moment errors or costs start to spike.
00:08:42Best part, every metric ties straight back to the run behind it.
00:08:45You can start free with no credit card at platform.respan.ai, and our code AILabs gets you 15% off.
00:08:52The link and code are in the description.
00:08:54You can also let GrokBot monitor the competitors of your app and see what new things they're adding to their products.
00:09:00This helps if you want to make sure your app is keeping up with similar products and figure out what people actually like about your competition.
00:09:06You can create a bot and explain what your own product does and give it a list of the competitors you want it to check.
00:09:12This is where having a browser matters, because to properly check these products, the bot might need to log into them.
00:09:18And since it stays logged into the same accounts, it can keep checking them over time and see what's actually changed.
00:09:23When you ask it to analyze your competitors, it goes through each product and reports what it does, how the experience of using it compares to yours, and which features your product doesn't have.
00:09:33And because it's checking the actual product instead of just looking at its marketing page, it can tell you in detail how those features actually work.
00:09:40You can then use that comparison to decide what you should change or add to your own product.
00:09:45Previously, if you had an app and wanted people to know about it, you mainly had to make sure your product ranked well on search engines like Google, because that's where people were searching for solutions to their problems.
00:09:55But now people also use AI to search for things, so you need to make sure your product shows up there as well.
00:10:01More people are now asking AI what products they should use, and these models search the web before giving them an answer.
00:10:07So if your product isn't showing up in those answers, a lot of people might never find out about it.
00:10:12That's harder to check than a normal Google search.
00:10:14With Google, you can search for something and see where your product appears in the results.
00:10:19But with AI search, it's harder to know whether your product is actually being recommended.
00:10:23You can create a bot that goes to ChatGPT, Claude, and Perplexity, and asks the kinds of questions a real person might ask when they're looking for a product like yours without mentioning your product by name.
00:10:34That part matters, because if you ask an AI about your product by name, it can just tell you about it.
00:10:39But people who don't already know about your product aren't going to search for it by name.
00:10:44So what you really need to know is whether your product shows up when nobody has mentioned it.
00:10:48So when you ask it to check, it will open up all the AI tools in the browser, give them prompt, and review their answers.
00:10:54Based on their answers, it will give you a thorough report and will also mention what part of your app would need to be changed so that it can rank better.
00:11:02But now you might think, how the agent knows how to fix this issue?
00:11:05For that, we use a skill that actually tells the agent on how to run the fixes so that the app ranks better in these searches.
00:11:12You can add skills to GrokBot by simply uploading the skill on the chat and ask it to add that for you.
00:11:18Before you use the bot, you just need to sign into all of these accounts on the bot's computer.
00:11:22It can then ask each one questions about the type of product you offer and report where your product showed up and where it didn't.
00:11:28The skill that we mentioned here is also in AI Labs Pro, from where you can get it for yourself.
00:11:34Monitoring an app isn't just about checking if the app is up and running.
00:11:37You also need to check different parts of the app to make sure everything is working the way it should.
00:11:42Your payment data, visitor activity, and error reports are usually spread across different dashboards.
00:11:47Normally, you would have to open each one yourself and check if everything is working and giving you the right results.
00:11:53So to make that easier, we created a monitoring bot that checks all of them for us.
00:11:57It checks Stripe for payments, our analytics to see how many people visited the app and where they stopped,
00:12:02and Sentry to see what errors they ran into.
00:12:04It can also check any other dashboards you've connected.
00:12:07You can create a routine for it and set it to run every morning, so you start each day with an update on how your app is doing.
00:12:14But before you set that up, you need to open the bot screen and sign in to every account it needs,
00:12:18including Superbase, your analytics, GitHub, and anything else you want it to check.
00:12:23One thing you should add to its instructions is to give you a link or a screenshot for everything it finds.
00:12:28That way, you don't just get a report.
00:12:30You also get screenshots and links that show you exactly where the information came from.
00:12:35If you're building a product, there are many different areas you need to work on.
00:12:38Actually, building the product is just one of them.
00:12:41You also need to make sure everything around the product is working properly.
00:12:44Since all of these areas need to work together, you can create a group chat where each bot handles a different part of your app.
00:12:51This way, they can work together and manage more of the work around your product.
00:12:55For example, we created one bot for handling the whole product, one for working on marketing area, one for handling support, and one for growth.
00:13:02Each bot has its own instructions that explain what it should do and how it should handle its part.
00:13:07In our case, the product bot is one of the most important ones.
00:13:10It's responsible for taking a task from us, figuring out which bot needs to work on it, and then giving that bot the task.
00:13:15It also makes sure the work is done the way we wanted and reports back to us on the progress.
00:13:20So we're basically just talking to the product bot, and it's handling everything else for us.
00:13:24To use it, you just send the group the task you want to get done.
00:13:27After that, the product bot takes over and gives work to the product, marketing, support, or growth bots, depending on what's needed.
00:13:34Each bot handles its own part and reports back when it's done.
00:13:38That brings us to the end of this video.
00:13:39If you'd like to support the channel and help us keep making videos like this, you can do so by using the super thanks button below.
00:13:46As always, thank you for watching, and I'll see you in the next one.

핵심 요약

GrokBot coordinates multiple AI agents with persistent shared browser access and active user logins to automate app testing, customer support, competitor analysis, and daily monitoring.

하이라이트

  • GrokBot runs multiple AI agents on a shared online computer, maintaining persistent browser sessions, shared files, and active user logins even when local machines are turned off.

  • GrokBot is included with every paid Cursor plan or SuperGrok plan, featuring a separate weekly usage limit that does not consume standard platform quotas.

  • A dedicated lead bot coordinates specialized role-based bots in a group chat to automate multi-user app testing and generate consolidated reports.

  • Support bots read unanswered emails from Gmail, replicate user steps in a shared browser, verify internal dashboards like Supabase and Stripe, and generate draft replies or pull requests.

  • Monitoring bots automate daily checks across Stripe analytics, visitor data, and Sentry error logs to deliver structured morning status updates with screenshots.

타임라인

GrokBot architecture and setup

  • GrokBot runs persistent AI agents on an online computer that remains active when local hardware powers down.
  • A single shared browser environment retains active user logins across different bots without requiring separate configuration.
  • Subscription access requires a paid Cursor plan or SuperGrok plan with a separate weekly usage quota.

GrokBot provides a unified environment where multiple AI agents share the same file system, browser sessions, and authenticated accounts. Unlike Hermes, which requires manual server and tool configuration, GrokBot manages the underlying infrastructure. Users initialize the system by installing the desktop application, creating bots via top-level controls, and supplying operational instructions through conversational prompts or direct profile descriptions.

Automated app testing and lead coordination

  • Multiple role-based bots simulate different user permissions while a lead bot manages test execution and aggregates results.
  • Integrated access to connected backend tools like Supabase allows bots to investigate database states when test anomalies occur.
  • External developer agents like Claude Code initiate testing routines automatically via repository CLI commands upon feature completion.

App testing relies on a group chat where a lead bot assigns validation tasks to specific user-role bots. Because the agents share authenticated browser sessions and backend dashboards, they verify user-facing interfaces and inspect database logs simultaneously. Developers integrate this workflow directly into coding agents by running a CLI command from the repository, triggering automated multi-agent test rounds that output pass-fail summary reports.

Customer support automation and issue verification

  • Support bots connect to Gmail via plugins to read incoming customer inquiries and draft contextual replies.
  • Automated browser checks replicate exact user actions to distinguish customer error from genuine application failure.
  • Verified application bugs prompt the bot to generate a functional pull request containing the fix for developer review.

Customer support workflows use GrokBot to bridge the gap between user complaints and system realities. After reading support emails, the bot executes the customer's recorded steps inside the shared browser and checks payment or authentication states on third-party dashboards like Stripe and Supabase. If the diagnostic confirms a software defect, the agent drafts a response and creates a pull request for human approval.

Churn analysis and competitor monitoring

  • Churn analysis bots create fresh user accounts to navigate onboarding flows and log usability friction points with screenshots.
  • Competitor monitoring bots maintain active logins on rival products to track feature updates and experience differences over time.
  • Respan infrastructure routes, traces, and evaluates multi-step agent LLM calls with automatic failover and OpenAI-compatible setup.

Understanding user churn requires an unconditioned agent to test the application from an external perspective, recording broken UI elements, loading failures, and confusing copy into an actionable audit report. Competitor monitoring leverages persistent session logins to analyze rival platforms directly rather than relying solely on marketing pages. External multi-step LLM tracing platforms like Respan monitor agent API traffic and performance metrics during these complex workflows.

AI search ranking and operational monitoring

  • AI search bots query ChatGPT, Claude, and Perplexity with anonymous consumer prompts to measure brand visibility across AI engines.
  • Routine monitoring bots query Stripe, visitor analytics, and Sentry every morning to compile centralized dashboard health updates.
  • Multi-bot group chats delegate specialized tasks across product, marketing, support, and growth divisions through a central product bot.

Product visibility extends beyond traditional search engines into AI tools like ChatGPT, Claude, and Perplexity, where dedicated bots test unbranded consumer queries to measure recommendation frequency. Operational monitoring bots execute scheduled morning routines across payment, analytics, and error tracking dashboards, compiling screenshots and direct links into a single report. Complex operations utilize multi-agent group chats where a primary product bot distributes workloads across marketing, support, and growth sub-agents.

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