Grok Bot Tutorial: Best Use Cases + How to Make It Actually Creative

0:00Do you remember what it felt like when you tried ChatGPT or Cloud Code for the first time? I was really excited and I couldn't stop using them. And I think I'm having a similar moment right now with a relatively new tool that is called Grok Bot. If you don't know what Grok Bot is, it's a tool that helps you automate everything. You can set up a bunch of agents like for example an agent that will check important email for you or an agent that will study your competition or explore what kind of different research papers exist out there on a certain topic. And you can even orchestrate

0:34all these different agents in a very easy way. And I think it's one of the first tools that just kind of got everything right because you could do all that with cloud code before or with cloud work or with open AAI tools. But this one just gets it together in such a simple way and it all works so well. And I think it's also one of the first times that it's available to nontechnical people because it's very easy to set up. So I think it's going to be huge. So, I thought I would make a video where I share some of the use cases I'm working on that I find exciting and also explain how you can set

1:07Grok Bot up. And if you're already using Grok Bot, then I'll show you how you can make it much more powerful by connecting it to various other tools that can make it 10 times more intelligent. So, whether you never heard about Grok Bot before or if you've been using it already, I think it's going to be super useful for you. I'm very excited about this and I think it works super well. And by the way, also another important thing about Grok Bot is that it was partially developed by the team who was behind Cursor AI and I know it as a product that has been really good for coding for

1:41already a few years. So I really trust this team. I heard a talk on YouTube that I will link to in the description to this video of one of the guys who actually worked on it where they explained how they build it. So it just sounds very solid everything. And usually I don't really trust Grock. Like it's not the best model out there. But Grockbot is from Cursor. So that's why I have a more trust in them. And by the way, they didn't sponsor this video or anything. I just want to share the tool because I find it's just amazing. All right. So let me show you how I use it first,

2:11give you an overview, and then we will zoom in into the different use cases and then I will show you how you can set it up and how you can also improve the results that you get. So let me start from showing you how it works. So you have the big picture. I have here the chief of staff. This is like the main agent that you can see on this diagram here. Right? So this is the chief of staff and he's connected to the different bots or agents that do different jobs. I have one for example

2:38that is producing content for one of my projects selfense an HRV and fractal movement tracking app. Then for InfraNodus for the tool I'm working on. Then it has also some agents that analyze competitors for InfraNodus and for this other app and then also some other agents that do research. I have my personal agents that check my email and they can all interact with one another. In fact, I'll show you later how you can improve the connections between them. So if you want to create a graph of your agents and see how you can orchestrate them better, there is a way to do that and I'm going to share it in the end of the video. But first of all, let me show you some of the

3:16agents I find most exciting. For instance, here I have an agent that does a digest of research papers on the topic of fractal dynamics. So, every day at 11:00 in the morning, it sends me a list of different papers on the topic I'm interested in with short summaries and images that it extracts from the papers. It can also autogenerate the images. And then usually how I do is that I like some of the papers that I find exciting and then I ask it to create a page on the blog that I'm going to show you later that publishes information about those papers coming out and then I also use

3:54another tool in Fernodus to find gaps between all these different papers and see how you can connect them. So that's the most exciting part is you can learn about the new research but if you make new connections that no one made yet then you start thinking in the direction where you can actually develop something from them. So I'm going to show you how you can combine InfraNodus a visual text analysis tool that represents information as a graph that I developed right here with Grok Bot so you can understand better how you can actually enhance the qualities of Grok Bot and make sure that you can generate insights from the information you get. So this is one use case where

4:31you analyze research. I have another agent here which is watching the latest trends and the topics I'm interested in on X. In fact, it's very easy to connect different apps here. You just click here and you connect different apps to your Grok Bot. So I connected it to my X account and then I'm extracting the most interesting posts and maybe I respond to some of them or I ask Grok Bot to draft responses and then I edit them and post them. So it's really good if you want to also engage with certain accounts. And then I have another agent that I really like that studies competition

5:05for InfraNodus. Right? So here I even created like a table a CSV table with the list of all the different competitors to the tool I'm working on the visual analysis tool. Right? And then I asked InfraNodus itself that is connected to my Grok Bot to build a network from them. So I can understand which ones are most important which which have more influence which have less what clusters they form. So it kind of shows me where InfraNodus is positioned within this market landscape. Super useful. And then I can always you know see how I can focus on some features or some qualities or maybe also collaborate with some of those tools or make InfraNodus compatible with them so people

5:45can use them together. So this is super useful as well. And then I have another set of agents here that actually create content for some of the blogs I'm working on. So I'm sending the research papers from this agent to the agent that creates drafts in my WordPress blog and then I go back into this blog. I edit it. Make sure it's written by myself. But it's very good to have this initial digest and kind of structure because then it helps you really keep track of everything that you discover and make sure that you don't miss anything. You can even put reminders inside and it's going to remind

6:20you when to publish it. I'm going to show you a few things later which I published using this tool. And finally, one of my favorites actually, I have this like Gmail account where things come all the time. It's a total mess because a lot of subscriptions are filed there as well. And it's just so much easier when you have this agent that just creates like a digest every two hours of the most important stuff. I'm not going to click there so you don't see my personal stuff, but it's very very good and super helpful. I have another bot that is also checking the same email account,

6:53but just to find interesting apartments to invest in in Berlin. So that also works really well. You see some personal stuff here and then some professional stuff as well. So, a really good mix. You can make them work together. You can link one agent to another. And the best thing is that you can also use it on your phone and you don't have to have your computer or phone running. So, that means you can open it on many different devices. If you're on the go, you can start a task, it's going to be ready. So, works super super well. And this is why I find it very exciting how all these

7:26different agents can be used together. Now let me zoom in into some of the use cases to make it a bit more specific. So for instance here I have this agent that I already mentioned that studies the topic of fractal dynamics. And here it already had a few runs. The way you can start a new bot in Grok Bot is very simple. You just click on the new bot button in here and you name it something. In my case it was fractal dynamics. You give it an icon and a color and then already just from the name Grok Bot will InfraNodus what you are trying to do. So for example here it said to me hi the

8:00meet and fractal dynamics what would you like me to work on and then you can start explaining what you would like it to do. So for example here I said I want you to send me a daily digest of research discoveries ideas and publications on using fractalss in order to understand physiology. So it's the topic I'm interested in right and then I said okay I'm setting up a digest. I asked him to do the first one right now so I can check how it actually delivers results and here it gave me a list of papers. I thought okay it's nice to have them in one message but what I would like to do

8:27is to actually have a message for each paper with some images so that I could then select some of those papers with the likes. So if I see something I like like you see here I just click like like that and then Grok Bot knows that I appreciate this finding. All right. And so I did it with a few papers and then once I did that I told Grok Bot, okay, can you please generate an article for each of those papers that explains what this paper is about and add some images and also generate some images yourself that illustrate what's actually happening in the paper. So it did

9:04that and then I thought okay why not publish it on my blog which is called NodusLabs.Com. I have a blog here where I published some interesting research that relates to network science and to dynamical systems theory. So here you have an example of the post that I drafted using Grok Bot. I asked it to put one of the papers I found into the draft in WordPress. And by the way, what was amazing is that I didn't have a connector to WordPress here. So what happened is that Grok Bot actually asked me okay I cannot connect to it but I can open the browser and login using

9:42your account. So I just created a new user here with limited permissions. So it cannot delete any posts or anything like that. And then I asked it okay just like add a post draft into my WordPress using your own browser. So Grok Bot opened its own browser drafted the post and then I have it here on my website. Then I went in I edited it a little bit to emphasize the findings that I find are relevant for this topic that I'm excited about why I like this paper. But then what I did next and this is the special sauce how you make it interesting because of course you know you can

10:21create a digest and extract some ideas but I find the most interesting part is to see how you can develop the information that you encounter in a completely new way and this is where InfraNodus the tool that I developed comes in because then I asked Grockbot to connect to the InfraNodus MCP server. Infronotus is a tool that visualizes information as a knowledge graph and shows you the gaps inside. Right. So I think you know it already. If not then here it is. It works really well if you just load any information inside and then it shows you what's missing and also what are the clusters of ideas that you could connect in order to develop your ideas better. So here

11:00it highlights them with this line and then you can send it to AI and generate an interesting research question for instance that would link these different clusters in a new way and help you discover some interesting insights from them you know so it's very useful if you would like to generate some interesting research questions or ideas that connect the topics in the different research papers in completely new ways so this is what happened here I actually told the Grok Bot to connect to the MCP server of InfraNodus. You can do it through the apps here, but you can also just ask it directly. You know, here's the MCP server connected. It will guide you through the process

11:39of connecting to the server of InfraNodus using your API key. You will follow the instructions. Just put the key in and then it starts working and then it generated a graph and then it extracted some interesting questions. So exactly what Infronotus is doing here, when you visualize it as a graph, it will then look at the gaps in the text you're working on. In this case, it was gaps in this particular research paper. And then it will try to think of ideas that connect them. So you can do this manually inside the interface. If you click, for example, on this gap, it's going to generate a research question or an idea that will bridge this gap together. But

12:15this is what it did behind the scenes here. And then it gave Grok Bot back the information about the different gaps in those papers. And then I asked it to add it into this post on my blog that I will link to also in the description to this video. So you can then see what kind of questions and ideas it generates using a real example. And they were actually really good like it took all these different papers and then I asked it to find connections between these papers. So this is actually what it is. It's the graph of all the abstracts of these papers, right? And then I thought okay like all of them are interesting but what are the ideas

12:50that connect all the disconnected parts like how I can come up with something new based on the papers that I received. So how I can make this new and interesting connections how I can identify the gaps in this content and bridge them. And so this is exactly what happened here. Grok Bot extracted this information from InfraNodus and then added it into this post. And here we have some interesting research questions and ideas that are actually pretty amazing for me because I know this topic and it's making some really interesting connections and it's asking really good questions. So I was really happy with the result here and if you like this topic

13:27u then you will find it interesting too I'm sure. So this is kind of like the whole workflow. You ask it to create a digest and then you ask it to create a graph within Fernotus and now it's doing this daily for me right. So it delivers me a digest of research papers and then it also creates a graph and infronotus to save the most important ideas and then extracts the gaps for me and then if I like what I see then I can tell it okay now use this in order to create some content on another blog I'm working on and of course you can do it for many different projects. So in my case

13:59I have it also for network dynamics as well and for the publishing house we're working on as well. So it's really good and you can have different bots actually writing content for you. So you can write this content from the bot that is doing the research digest but you can also do this from the bots that are just content creators with their own context and with their own logic. I like to actually separate those. I think it works better this way. Then another interesting use case is when I created a list of competitors for InfraNodus which I already mentioned. So I basically said okay I have this tool InfraNodus here that I'm working on and I would like you to

14:38create a list of the main competitors for this tool. All right. So then Grok Bot made a list of competitors. It asked me a few questions and then it created a table and then I said okay like this is great. It already had some insights just from this table. You know what I could maybe make content about. But then what was interesting is when I asked that okay now use InfraNodus to build a graph of these competitors and it's like a social network of different tools because they're basically connected if they relate to one another or if they share some features and so this allows me to have a network of the competition that I have and I can have this like highle overview

15:20of the main clusters where they belong. So for example there's a lot of graph tools obviously because it's a visual tool. There are some tools for ontology mapping AI visibility so being visible in AI search results and then AI output a little also cluster here on thematic analysis is when you analyze text and citation network. So you see all this different stuff and then I can zoom in and see specifically which competition is kind of like the most influential in the field that I'm trying to address. Right? So for example there is graphify here which is a knowledge graph tool that you can use to enhance connections between your ideas in your repos or LLM conversations. And

16:03then there's another one here Gemini notebook. So it's the notebook LM1 very good tool. And of course like this is really great to have because then you can focus on all these different clusters maybe discover new tools that you didn't know. I know them more or less all of them right? But that helps me also see okay what are the gaps in the market for instance you see there is a gap in thematic analysis and ontology mapping. So maybe there is a way to connect these two different clusters of ideas together and maybe develop even a new product based on that. So I can actually ask it to develop this gap and then infrotus itself will come up with an interesting

16:42idea and I can also do that from inside Grok Bot directly. I can now use this graph and say okay now try to generate some interesting product ideas that would combine all the good features of all these different tools and especially focus on the gaps like some of the gaps that none of these tools cover and it would be very hard to do if you just use plain text because there is not this structural information in text or it's not so easily extractable but here you actually fully control it you can also see what's happening you can see where information is coming from So I find it's very useful as well. So building knowledge graphs but based on the connections

17:21between companies or individuals or whatever it is that you're working on. Super nice use case and I think it's very useful. I already got a lot of insights from it and a lot of content ideas actually. So this is another one that's really good. And then another one that can also be very interesting for business is when you connect it to your Jira account or whatever tool you use to track issues if you're working on software or on a project, right? And then if you just ask Grockbot to extract some kind of main topics of what you're working on, it will give you a nice rundown of

17:53everything that is important in the current sprint you have for instance. But then I asked it to analyze gaps using InfraNodus. So what are the gaps in the descriptions of the tickets that we're working on? And there it came up with some really interesting insights. For instance, you see I'm working on a new module for analytics and a new module for sending out emails. But it says you don't really link them together. Maybe you should have analytics for how people respond to

18:20the emails you get. Really good product idea can be put into next sprint and super useful as well. So this is really great. You can also analyze operations this way and it's very easy to do and this is also where InfraNodus becomes very helpful because it builds a graph from all your tickets in Jira through Grok Bot and then it can identify some gaps exactly in the same way that it does it here in order to see how you can optimize the structure of the network. In fact, in InfraNodus, it always focuses on the structure and it always tries to bring it to the optimal structure where

18:52you have enough heterogenity where you have enough distinct clusters that are disconnected from one another. But at the same time, they should also connect on the global level. Then you can have information circulating between them, but you can still have different opinions in this network, different clusters or islands of meaning. And usually that's like an optimal structure for most use cases. So this is exactly what it's trying to do here with our work and with our processes as well. So very useful also. I have multiple other bots here and lots of ideas also. But I want to show you one last one that is very important that everyone who uses Grok Bot for a while recommends

19:33you to have is called chief of staff. And chief of staff is actually like the orchestrator bot that has an overview of the whole structure and can help you understand how you can connect these different bots together. You can even give it tasks and it will choose which bot to use for what task. And what I did here was actually to build like a diagram of all these different bots that I have. Right? So these are all the different bots I have at the moment separated by different categories. Then I asked it to also build me a graph in InfraNodus that shows how these different bots actually connect. And I think I have this graph somewhere here here bot network

20:14map. So I asked it from inside Grok Bot actually. And here it's really great because it shows me not only the structure but also the importance of each of these bots, right? So for example, I know that chief of staff is important because it connects to everyone. If I remove it from the graph, I can see which other bots come up and become important here. And for instance, here I can see that the fractal dynamics research one is quite important because it connects content cluster of agents to the agents that work on research and then also it even has connection to the website and the competition study. So that's an important one and then another one for instance that is important is

20:58the one on network dynamics the one that is doing the research and you can also like as you increase the number of bots that you have you will also see how you can optimize the structure by making better connections between them and maybe you will see that some of them are not connected directly so maybe you can make a new link for instance here I I have the one that is publishing content on the InfraNodus website but maybe it could be better connected also to Nodus Labs rather because this is finding some interesting research papers. So I could make a connection and say okay actually everything that goes into the Nodus Labs blog where I publish new research if there is anything

21:36that could be interesting for the network analysis tool I'm working on. It should also propose this content in the content plan there. Right? So you can also use this graph to have a really good overview of what's happening in your workforce of agents. Right? And then optimize that structure as well and ensure that they communicate with one another and you don't have any gaps in the structure. So this is also really good to have a network analysis for this. All right. So I hope you find this demonstration useful. Let me know what you think about this tool. I know that there are others out there like a lot of people like Hermes which is an open- source version of

22:14that that appeared even earlier but I find it a bit more difficult to set up and also I'm kind of like trusting with my permissions much less to Hermas for some reason I don't know why let me know how you feel about that and if you trust this tools also how much permissions you give them how you deal with security I think that is a very important point and also let me know if you have any questions about this in the comments to this video below. We also have a Discord channel where you're welcome to join to discuss this video and to share some of your workflows and ideas. And

22:46if you need help connecting InfraNodus to this tool, let me know. We will help you. And I also leave a link to InfraNodus in the description to this video so you can set it up yourself. All right. Thank you very much. I hope you like the video. See you next time in a week.