GENSPARK: Can This AI Really Do Everything For You?

0:00 Hello everyone. Imagine having an AI assistant who doesn't just follow instructions, but can think, plan, act, and even use digital tools autonomously to get the job done. Well, welcome to GenSpark. And this isn't just another AI chatbot. Genpark is a super agent that combines three different parts, nine different sized LLMs, over 80 specialist tools, and 10 plus data sets, all working behind the scenes to turn your single prompt into a fully executed result. And so what we're going to be doing in this video is we're going to be exploring a number of real world use cases that show us exactly what this AI agent can do. So at the core of GenSpark is the super agent which is an autonomous AI agent that's designed to execute the full task not just assist with them and it really does deliver the

0:45 full result. So give the super agent highle task like researching market trends and then what it does is it intelligently breaks down the task. It creates the plan, executes it step by step, can research the information online, analyze the data, generate the content, and even interact with the real world, making phone calls on your behalf. The best part is that you don't really need to write any code or learn complex systems. Just paste a well-designed prompt and watch it get to work. So, in this video, I'm going to be showing you a number of use cases that show exactly what this AI agent can do. By the end, you'll be able to see why it's possibly one of the most powerful AI agent systems available today and you'll know exactly how to start using it effectively. So, let's get started. So, to get started, you need to go to genspark.ai. You just sign in with your Google account and then once you're

1:31 here, you'll see that this is the interface. There's a number of things that you can do. So, they've got the AI slides, which is one of their new features, the AI sheet, download for me, AI chat, call for me, AI agents, and you've got your usual chat area here. We're going to be talking about all the features. So, you've got the personaliz section. You can upload files. And on the side here, you have the similar functions and the all agents, which we'll look at as well. So, let's start off with AI slides. As we'll see, it isn't just another basic slide generator. What I really like about this is that it takes your content, creates visually rich, well ststructured presentations, and instead you can build slide decks that feel like they're really custom made. And we're going to be seeing how visually appealing they are. Next, we'll move on to AI sheets. And you'll be able to drag and drop your

2:17 CSV files. And then it doesn't just read your data. It transforms it. It can detect patterns. It highlights key metrics. And it even builds new tables. It can help you dig deeper into your data. So, we're going to be exploring all that. And then you've got the download for me feature, which is actually a new feature where you can add a link here and then tell it what to download. So, you can download a whole number of images. And we also have the AI chat. And this is an really interesting feature. Again, we're going to be looking at it in detail. And this is a general purpose assistant. You can use it for research idea generation, general Q&A, or drafting your content. If we look here on the side, we've got the image studio. We've got the video generation. With the image generation, you'll see that it's not just tied to one model. This tool lets you tap into

3:03 multiple generation services at once. So when you're creating visuals, you can select the best model for your task and then you can generate it again with another model and then compare the results all on one platform which is really interesting. And the same with video generation allows you to use a number of tools as well. And then if we look at the AI agent section, you'll again see the main ones we've just discussed. And then you've also got research here which is designed for advanced research tasks such as market trend reports or academic synthesis. You can get AI to make your calls for you. And then here you've got a tool that does some factchecking for you which you can just enter a statement and automatically validates claims or data points by checking them. So you can see there's so many things going on here in the Gen Spark platform. And now we're going to start executing the number of

3:49 use cases that allows us to see how each of these different features work. So let's start off with our first use case. Okay. So to start off with, you can begin by personalizing Genspar. And this is really useful if you want it to come back with a particular output that is really related to your tone of voice. Get it to know about you. So it can provide the outcome in a way that suits you. You can add your profile and then describe the kind of traits that Jen Spark should have and give it custom instructions. This is similar to OpenAI's custom instructions. So if you wanted to write in a certain tone, for example, if you want it to write in a particular style, this is where you would add all your custom instructions and then save the information here. Once you've personalized, then what it will do is that it will remember your instructions in all your prompts. Okay, so the first use case is to showcase how

4:34 it can create beautiful AI slides. Here we're going to be adding a prompt that says create a visually stunning interactive slide deck titled the impact of AI on employment. Presentation should be designed for a professional yet general audience, educators, business leaders, and students. Use a clean, modern aesthetic, strong visuals, animations, and rich interactive elements. We're going to enter that. Okay. And so you can see here similar to what we saw with manners, it starts to think and it tells us that it's going to start helping us create that visually stunning presentation. And then you can see here that it's now using the tools. The first thing it's going to be doing searching the latest statistics on AI employment. And we can actually click and view the kind of statistics and sources that it's using. So I've got here from April 24th, 2025, 60 plus stats on AI replacing jobs. And if we click on the source, you'll see it takes

5:20 us to the actual page. We can see the kind of information it's using. So here's a list of all the sources that it's using. Okay. So you can see now it's come back with the results. We've got page one, page two, page three, information on each one. Open up our presentation. We can see it has now come back with this full deck which is completely animated from one simple prompt where we've asked it to create an entire presentation deck on the impact of AI on employment. It's researched the content. It's developed the style. We can now play the slides. You'll see that it's a proper looking customized presentation. has key statistics and we've seen that it's extracted these statistics from real sources. It's come up with the changes per sector. It's interactive. You can hover over it. You can see the information and the data. And then we've got the different

6:05 industries here. How amazing this is when you select a different industry. It even gives you what's happening with the details within that industry. If we go on to the next slide again, you can see how the numbers were moving and they're interactive. This is really nice as well. If we go on to the next slide, we can see the emerging job opportunities in AI. You can see it's missed out on some parts. You can add to this by more prompting. Now here it looks into the challenges and the adaptation strategies and then the future outlook and next steps. And then what I can do is if I'm happy with this presentation, I can export it as a PDF. So let's try that. So it's now downloaded the full presentation as a PDF. And then I can just send off this presentation or this report. And what I can also do is I can copy the site link and I can open a new tab. So, such an amazing way to create these interactive presentations using AI

6:52 slides on GenSpark. Next, we're going to be looking at the AI sheets. As we said, AI sheets can be really powerful. It really does take your data set and transforms it into this interactive table that you can then use to add further information to. You can use that data to generate your reports, visualizations, and do so much with this. So, first thing we're going to be doing here is we're going to be adding a prompt that says analyze the uploaded data set on remote work productivity and generate a clear professional report for business stakeholders. Then I've just added a few things that the report should have. The report should include descriptive and inferential statistics, relevant visualizations, and highlight key insights, correlations, any noticeable patterns if applicable, should include predictive trends. And then I've given it a bit of information about the kind of structure that needs to be added in the sections. So I've

7:39 just added here the report should be structured with clear sections. include actionable recommendations, future implications, and present the findings with embedded visuals and summary points for clarity. The next thing I need to do as well is that I'm going to add the data set here. So, I'm going to upload that. Okay. So, now once it has all that information, I'm going to enter that. Okay. Now, you can see here that what it will do is start to analyze the remote work productivity. Now, the first thing that it does is it loads the data file. So if I look at that, you can see that it's now taken my entire data set and now it's created an interactive table with the information and now it starts to analyze the remote work productivity data set and create professional report. Now it's using Jupiter data analysis. So if we open that, you can see that it's now conducting all the relevant analysis

8:24 and I can just actually watch what it's happening on a screen as it performs these tasks. And what I really like is that it's not just started off the analysis straight away. You can see that it's properly analyzed the data. For example, here it's realized that there's missing values. It's actually identifying that there's missing data, cleans the data, resolves the problem of missing data. Once it's done with that, it then goes on to the descriptive analysis and then key visualizations. Okay. So, you can see that it's now come back with the entire report. So, if we open that, it's a remote work productivity analysis report and it tells us comprehensive report, remote work productivity patterns and the implications for business decisionmaking. It tells us when it created that report and then it gives us the executive summary laid it out in such a a nice intuitive way. So we've got the executive summary with the top

9:10 key statistics that you like to share remote days average productivity correlation and then it comes back with the key findings and you can see all the visuals that I've asked it to create in my prompt. It's got statistical analysis and you can see how interactive that report looks as well. Key insight and I love the way it's just designed this in a different color box that makes it stand out. productivity and experience. Look at the amount of analysis and visuals that it's created from that simple prompt and from that data set. And here it breaks down the profile characteristics. And here it comes back with a number of different recommendations. Tells us the methodology that it's used in the entire report. And again, we can download that report. And what I really like is that you can go through this analysis as well to double check whether the information has been processed correctly. And you

9:56 can see the extent of the analysis that it's had to go through in order to generate this final report. I think it does this amazingly well. You can also use GenSpark to do deep research. So if I come down here to all agents and scroll down, you can see that they have one that creates deep research. So I'm going to go here and here in deep research again. I'm going to ask it to write a fulllength research report again titled the impact of artificial intelligence on jobs. kind of given it some information about what the report should include. And like I said previously in deep research videos, it's always good to give the tool that you're using, the structure of the output that you want. That really makes a huge difference in organizing the way it comes back with a response. And once I've done that, I'm going to enter that. It's done some searching on AI impact on

10:43 jobs. And if we open that, you can see the sources that it's incorporated. And then based on that information, it's now created a comprehensive research report on the impact of artificial intelligence on jobs. And here's the full comprehensive research report that it's come back with. You can see how extensive that is. All that information really just showcasing everything that's happening in the field. And what I really like is that once it's completed the deep research or the information, what it does is then it gives you a spark page where you can open that page and it compiles all the information that it's generated. Here you've got the title and then it's got the executive summary and you can click on and go directly to the section that you want. So say I want to look at the literature review. I can go to theoretical frameworks and then I can look more

11:29 deeply into that section and then the methodology and so on. I've got the entire report here on this page. And then what's really nice about this is that I can then use their Gen Spark AI co-pilot to assist me in just interrogating the information, making sure that everything's correct. So if I come down here and ask anything about this page, I can say for example, what are the main business strategies that organizations are following? And you can see it's come back with overview of business strategies, the value based strategies, growth and marketing positioning. Also given me some references that I can use them in addition. And I've got some follow-up questions here. AI's effect on specific industries. You can see that it continues to search. So you can use the chat feature to get more information. And so this is a really interactive page that allows you to highlight specific sections and to add your comments. So this has been an overview of GenSpark. I

12:16 hope you found this tutorial useful and I'll see you in the next video.