9 Grok Bot Use Cases You Should Try ASAP

0:00If you've been seeing Grok Bot everywhere, but still have no idea what you'd actually build with it, so was I until I sat down and built nine individual bots, each one doing a real job you can hand over today. [music] And by the end of this video, you're going to know exactly what Grok Bot is, how it works, and how to build every single one of these nine for yourself. When you first open Grok Bot, you'll see one bot already there, and it starts by telling you what it actually is, a teammate with its own computer. It tells me that it can research things, write [music] and

0:36send messages, work inside tools once I connect them, and run recurring jobs in the background. The computer icon in the top right corner opens a panel called Grok Bot's screen. This is a full desktop running in the cloud with its own browser, file system, and terminal. When a website has a connector, the bot can use it directly. When there is no connector, it can open the website, [music] read through it, and click on things just like a person would. I can watch everything he does from the panel and take control whenever it needs a password, a CAPTCHA, or another check it can't complete. And because the work

1:11runs in the cloud, it keeps going even if I close the app or shut down my laptop. Every bot gets its own screen, but they all share the same computer, including its files, browser sessions, and logins. So, anything I sign into on that computer can be accessed by the other bots on my account. The gear icon opens its settings, where I can change bot's name, label, and description. The label shows what kind of work it handles, like admin or research, while the description is where I put its ongoing job and the rules it should always follow. [music] Anything I only need once goes into the chat as a

1:46separate task, along with the outcome, the sources it can use, its limits, the finished format, and the points where it needs my approval. The The bot I'm going to build is Hunter, which will find YouTube video ideas for me. I click the plus icon in the top left corner, select new bot, name it Hunter, and give it the research label. In the description, I tell Hunter to find what is working on YouTube, stay read only, never guess a number, and always show its sources. For this run, I narrow the job to anime lore videos from the last 90 days, tell it which numbers to collect, and give it a

2:2220-minute limit. Hunter opens 18 video pages and gives me a table with 20 rows sorted by engagement. It includes the title, channel, views, likes, and comments, along with a comparison against [music] each channel's recent uploads. The report takes 52 minutes, so Hunter misses the time limit, but the results still stay inside the niche and date range I gave it. At the end, it gives me a short summary of everything it found. Now, I have a specific type of video I can research further. Whenever I need video ideas, I can give Hunter a

2:55niche and let it work in the background. When I come back, I have a full research report that would have taken me hours to put together myself. [music] And if you want to learn how to build a workflow like this, that is exactly what I teach inside AI Fluency. It's my school program that runs for 12 weeks and takes you from casually using artificial intelligence to building useful projects and systems yourself. You get a new video every day for 3 months, real projects to rebuild, and more [music] than 1,000 resources you can use in your own work. The link to join is in the

3:25description. Hunter helps me find video ideas before I make a video, but once those videos go live, the comments become another useful source of feedback. The problem is that they quickly pile up across different uploads, and finding the few comments that are worth paying attention to can take a lot of time. So, I'll create another bot called Audience Pools and give it the Audience Research label. In the description, I'll tell it to read the public comments on my recent videos, group similar questions together, and suggest possible follow-up topics

3:57without liking or replying to anything. Then, I'll paste in the prompt for its first run. Audience pulls goes through the comments and [music] comes back with a short brief covering the main questions, recurring problems, and a few ideas I could explore in future videos. That gives me the useful parts of the feedback without opening every upload and reading through all the comments myself. Next, I want to build a bot that watches product prices for me because the computer I want is still more expensive that I'd like. The exact model is the 13-in MacBook Air M5 with 24 GB of memory and 512 GB of storage. During

4:34this [music] test, B&H lists it for $1,499, which is still more than I want to pay. Instead of opening B&H and Amazon every day to see whenever that number has changed, I'll create another bot called Air Watch and give it the price watch label. In its description, I'll tell it to monitor both retailers and alert me only when it verifies a lower price for

4:59the correct model and configuration. Then, I'll paste in the prompt for its first scan. To test it, I have Air Watch reload both websites several times over 5 and 1/2 minutes. The price on B&H stays the same while Amazon's offer area fails to load on every attempt. Rather than treating that missing information as a discount or assuming the product is not available, Air Watch records it as unknown. Since it cannot verify a genuine price drop, it stays quiet, which is exactly how I want it to behave. Once the test is finished, I'll schedule the same check for 9:00 every morning. Air Watch now handles the daily

5:35checks and only alerts me when it confirms a lower price, so I don't have to keep wondering whether I missed one. The next bot is a pretty fun one called Forge, and its [music] entire job is to make small browser games whenever I want something quick to play. To set [music] it up, I'll give it the software label and tell it to save each game as a single HTML file, so it works locally without installing anything. [music] For the first run, I ask it to make three mini-games named Approve or Deny,

6:04Gravity Career, and Echo [music] Haste. Forge finishes all three, and I can start any one directly in the browser. Whenever I have some free time, I can send it another idea and get something new to play without writing the code myself. With those finished, I want to use Grogbot for something more practical, keeping the folders on my computer organized. So, I create Cleaner and add its standing instructions to the description. They tell it to scan the files, find any exact duplicates, and show [music] me where everything will go before making a change. Cleaner never decides that an older file is useless just because of its date. If a file name

6:43is unclear, [music] it flags that item in the plan and waits for my decision before moving anything. [music] Then, I give it the folder path I want organized and start the task. The bot goes through the content and returns a simple plan for me to review. I can correct the plan before any of the files are reorganized. After I approve it, Cleaner moves everything into place and

7:05checks that every file is still there. With my files taken care of, the next thing I want help with is free trials. Mine are spread across different websites, and forgetting a renewal date can mean paying for another month. I'll create Trial Guard and give it the Subscriptions label. Its description tells it to report each renewal date, calculates the last safe time to cancel, and leave anything it can't verify as unknown. Since that information sits inside private accounts, I'll open Grogbot's computer, take control of

7:36Chrome, and sign in to check out myself. Before letting it check anything real, I'll use sample data to make sure it follows those rules correctly. It finishes the test, shows me what needs attention, and leaves anything unclear for me to review. Renewal dates are only one part of what I need to remember each week. There are also a doctor's appointments, trips to the barber, deadlines, and any new task that needs a place on my calendar. Instead of opening the calendar and rearranging [music] everything myself, I can hand those changes to another bot. That's what Weekwise is for. I'll create it, give it the planning label, and let it organize

8:14the week for me. The standing instructions tell it to keep fixed appointments in place, leave room for breaks, and move less important tasks when there is not enough time. I start with a simple week before letting it work with my real calendar. The sample includes fixed commitments and lower priority work that can move when the available time runs out. Weekwise's first plan is too crowded, so I ask it to leave more open time and defer the least important task. It keeps the fixed events in place, leaves the deferred work visible outside schedule, and returns a version that is easier to follow. The new version is honest about

8:53what actually fits before I connect my real calendar. Once I connect the real accounts and calendar, Trial Guard can keep the renewal dates in front of me while Weekwise finds a realistic place for anything new that comes up. By now, I have several bots working across separate chats. Whenever I want to give them something new or check their progress, I still have to visit every conversation myself. Dispatch brings all of that into one place. For Dispatch, I'll use the Chief of Staff label and tell it to contact the other bots, collect their updates, and organize their work. To see how well it handles everything, I start by requesting the

9:31status of seven bots. Dispatch reaches out to all of them, waits for their replies and creates a dashboard showing what's finished, what needs attention, and which routines are scheduled. If a reply contains an unresolved issue, Dispatch places that spot under needs [music] attention instead of treating the work as complete. The same dashboard separates finished work, active routines, and anything [music] waiting for my decision. So, I can see the current state before assigning another task. [music] It also returns the full dashboard as a downloadable file. From there, I send Sender and request

10:05separate through the same conversation. Both instructions go out at the same time and their replies are combined into one brief. For the final task, I ask Dispatch to rank the three most important actions and [music] package the useful files. It returns a zip containing the dashboard, the combined brief, the priority list, the weekly schedule, and the manifest showing [music] where everything came from. Now, I can check progress, assign work, and collect the results without opening the other conversations. Dispatch manages the bots I already have, but creating each new one [music] still means repeating the same setup myself. To build it, I'll click the plus icon again, select [music] new bot, and name

10:48this one Architect. I'll give it the bot designer label and explain its permanent job in the description. Whenever I describe a new bot in plain English, Architect should choose its name and label, write its standing instructions, and send it [music] the first task. Once the setup is finished, I test it with two different requests. First, I ask for Claim Check, that verifies factual claims in YouTube scripts using official sources. Architect creates [music] it, adds the permanent rules, and sends it a task to review four claims from this video. The finished table verifies three claims [music] and explains why the pricing claim needs more precise wording. For the second task, I request

11:29Shoot Planner, which turns approved script sections [music] into simple recording plans. Architect sets it up, sends over the section, and returns a table showing what needs to appear on screen for each narration line. Now, I can describe the job I [music] need and have Architect build the bot for me. Once the bot starts working, Dispatch lets me manage the task [music] and collect the finished files from one conversation. These nine bots are just one example of how you can make your life much easier once you know how to use AI. So, if you want to go from casual using artificial intelligence to building cool projects [music] and

12:05workflows like this, use the link in the description to join AI fluency. Thanks [music] for watching, and I'll see you in the next one.