Transcription
What if I told you that there's now a god-tier AI general agent that can literally do it all? I'm talking deep research reports, full-blown websites, full-on applications, beautiful dashboards, detailed presentations, even creating Jira tickets and reading your Gmail—all in one go.
Well, allow me to introduce Abacus AI's new tool called Deep Agent, the most powerful AI agent I've ever tested. This thing can browse the internet, download images, pull live data, and combine everything to build insane multi-step workflows. And the best part is it's available right now for all chat LLM users. You get three free tasks to test it out, and after that, you can upgrade to unlock even more power.
Trust me, the examples I'm about to showcase are wild: full research plus website builds plus Slack automations, all done in minutes. This is the future of agents, and it starts now.
Take a look at the Deep Agent in action, where it runs an autonomous literature review on model context protocol. There's no prompts, no hand-holding. This is where you can simply go ahead and provide a topic, and it's going to deep-dive into it. It's going to scour the web, pull from different sorts of academic papers, blog posts, GitHub discussions, even multimedia content, and then it's going to compile everything into a clean, structured format.
Right here, you can see it categorizing through the sources, extracting the key takeaways, and then it's going to summarize the technical insights with references. This isn't just a copy-paste job; it's synthesizing the information, evaluating relevance, as well as even cross-referencing competing ideas. And once it's done, you're going to get a fully polished research brief that's ready to plug into a report, a slide deck, or even your own agent workflow. This is a preview of the report. You have the table of contents, and you can see the amount of different pages that were generated for this amazing report.
In this next example, there was a prompt that was sent into the Deep Agent to create a full-blown website for a fictional book club using Next.js. It didn't just throw together HTML; it picked 12 thoughtful, curated books across different genres—fiction, non-fiction, sci-fi, and much more. And then it wrote descriptions, author biases, as well as even categorizing them by themes. In this case, it then took the 12 books and generated a single-page summary on all of these different books that was sent in as a request. And you can see over here, there's a full-blown, uh, website that was developed on a prompt that was sent in. And there's 12 different books.
And that's just the tip of the iceberg. There's so many other types of examples of what Deep Agent is capable of doing. And the best part is you get access to Chat LLM if you have access to Deep Agent. You also have the ability to access many of the other suite of tools that Abacus AI provides, like the computer agent or their AI agent creation tool. So you get a lot of flexibility, like Code LLM, data analysis, humanize, as well as chatting with your docs, and so much more.
This is all for a price of $10 per month. So this is definitely a steal in my opinion, cuz this is your all-in-one AI platform.
Before we get started, I just want to mention that you should definitely go ahead and subscribe to the World of AI newsletter. I'm constantly posting different newsletters on a weekly basis. So this is where you can easily get up-to-date knowledge about what is happening in the AI space. So definitely go ahead and subscribe, as this is completely for free.
To get started, you're obviously going to need to have the plan. So once you have the plan, you can click on "Get Started" and create an account. Once you sign in or sign up, you're going to be then sent over to Abacus AI's main dashboard for Chat LLM. Now, to access the Deep Agent, you want to click on this drop-down menu and you want to click on Deep Agent. This will take you to this platform where you can go ahead and try out generating different sorts of tasks.
For example, let's start off by using the Deep Agent to create a detailed 3-day itinerary to a trip to Bali. And I'm asking it to please include the names of the tours, the restaurants, the beaches that I should go to. And I'm also requesting it to create a modern dashboard to display the trip plan. Now, by simply sending in this prompt in one shot, it's going to go ahead and generate this full-on dashboard for this trip.
Now, right now it's asking me a couple of different details to specify the preferences of the trip that is going to be generated. So it's asking me what type of travel you are, and it's also asking if I have any sort of dietary preference. Uh, in this case, I'm just going to simply say "surprise me" and send in this prompt. And it's going to go ahead and start working on the plan by reasoning and thinking to construct everything that is necessary to develop a plan for this dashboard. And right now you can see that it is working on searching all the different top extractions and it's compiling all the different sources that it is using. It'll construct a list of different sources that you can actually reference within the dashboard afterwards.
So once it finishes completing this task, it will then move on to the next, next task, which is to construct and develop the code for the backend and the frontend for this dashboard. So it looks like it has finished developing the actual contents using deep research. But next it's going to develop the Next.js dashboard for the Bali trip itinerary. And you can see it is going right away and developing the code and all the necessary components that is needed. So this is just insane, guys. It is doing this quite rapidly. It did the deep research, and now it's developing a basic dashboard for you to visualize your context.
And there we go. We finally got this beautiful, actual interactive dashboard that was fully generated. And you can see that the web application is available, and you can preview it through the link that Abacus AI provides. So in this case, we have this responsive Bali itinerary. You have the three-day trip, and this was all fully done with the Deep Agent. This is absolutely insane because it gives you the currency, the different timings that is required, and you can see it also adds travel tips towards each sort of itinerary or, uh, different plan that is set for the itinerary. But this was all done with the Deep Agent, and it's just truly insane that it was capable of doing this.
Now, say if you want to iterate on it further, you can go ahead and start specifying the changes you want to make. And you can also view all the files in this task as well as the PDF that you can also download afterwards. And just to showcase this, if you click on this, it'll go ahead and download the PDF. The full-on folder is listed here. And then you can also view all the different files in this task. And then you can download it as a zip file. So this way you can iterate on it further with Code LLM, as an example.
But guys, it's more than just creating frontends and creating plans for trips. You can take this a step further by having insights of connecting the Deep Agent with external tools like Gmail and Jira. In this case, you can retrieve Jira tickets from a specified project created in the last 24 hours, and it will generate a statistical insight and it will create an interactive dashboard which will showcase the insights. This way you can have it so that the Deep Agent is a general agent that can work on completing any sort of task that you give it with natural language. This is why this is such an impressive tool that I highly recommend that you take a look at, with all the links and that I use in today's video in the description below.
And that's the Deep Agent. Not just another AI assistant, but a fully autonomous end-to-end execution engine. Whether you're building websites, generating research, or just automating emails, this is something that just gets it done. You have the ability to try it out today. So I will definitely leave a link with it, a link to it in the description below.
But with that thought, guys, I hope you enjoyed today's video. Uh, it would really mean a lot if you can go ahead and subscribe to the second channel. Make sure you follow me on the newsletter, follow me on the Patreon to join our private Discord. Make sure you also take a look at our Twitter, cuz I'm constantly posting daily uploads on whatever is happening in the world of AI. And lastly, make sure you guys subscribe, turn on notification bell, like this video, and please take a look at our previous videos, cuz there is a lot of content that you will truly benefit from. But with that thought, guys, have an amazing day, to spread positivity, and I'll see you guys really shortly. Peace off.