Multi-agent AI collaboration systems enable users to build specialized AI teams that work together autonomously to complete complex tasks, replacing the need to manually coordinate multiple separate AI tools. These systems assign different agents to specific roles (research, writing, image generation, video planning, project management) and coordinate their outputs through a central supervisor, streamlining workflows from initial concept to final deliverable.
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Deep Dive
I Tested Octask AI: The AI Team That Does Everything For You
Added:What you're looking at isn't a game.
This is my AI office, and these are all the agents that work in it. Pretty interesting, right? [music] Let me walk you through what's going on.
A problem all of us run into [music] is that when we're building or doing something, we have to jump between a bunch [music] of separate tools. One for deep research, one for writing text, one [music] for images, a tool for making video and writing the video script, and in the And even if the outputs turn out good, you still have to stitch them all together yourself.
>> [music] >> Now, what I'm showing you here is a tool called Octatask. It's a completely different model. It's not just a plain chatbot. [music] What it means is you can put together your own team based on whatever [music] it is you do. That team moves your work for work for you. A team of AI employees. One does research, one writes text, one creates images, [music] one plans the video, and one manages the whole project. So, what we're going to do today is go check out just how capable this thing really is and what it can actually do. Let's start from zero and get into Octatask. See how these agents really work, how to build a studio, how to pick a team. So, [music] stay with me till the end of the video because after this, you're going to be several steps ahead of everyone else.
The first step [music] is to go to the site. I've put the link in the description. Once you're on the official site, you need to log into your account.
If you don't have one yet, you make [music] one. After logging into your account, you'll need an invite code. You can grab an invite code from their Discord server. Every few days, on a [music] limited basis, they drop a batch of invite codes, and each one comes loaded with a good amount of credit. The nice part is you don't need to spend anything up front. You can use it for free, and if getting a code is a hassle for you, just drop a comment under this video, and I'll send you an invite [music] code myself. So, right now, after entering the code, I've moved on to the next step. Here, the system starts [music] getting to know you, so it can build a studio tailored to your personality and what you do. Basically, a full personal studio. At this stage, you pick a name for your studio. I'm naming mine AI Border. After that, you set a nickname for yourself, so the [music] team knows what to call you. I personally go with boss. It genuinely feels great having a bunch of all-around experts [music] calling you boss. On the next tab, it shows you a few mission cards and wants to know what's the first task you want this studio to handle.
[music] It could build a short video, generate an image, or make content for social media. Since the category I work in is content creation, I picked the option related to social [music] media content. Then, it asked a handful of questions like [music] figure out what kind of output I'm looking for and what style I want.
[music] For example, am I after a bunch of different ideas, or do I want an execution plan, or do I just want something surface-level? This alone shows you the quality of Octadesk. With just these choices, it's already trying to understand my work rhythm. It even says, "I'm starting to understand your rhythm." Meaning, it's paying attention and gradually figuring things out. This is where it really sets itself apart from other tools. [music] Here, you have to define your own Octo. Now, what does that even mean? Basically, you have a manager inside your studio, and you need to tell it what kind of personality that manager should have. I picked the option that's more execution-focused and ready to work. After that, you need to pick a team. There are three teams, and you need to pick whichever one is closer to what you're after. This is where you really see the concept of an AI team. Each team is built for a specific workflow. After picking a team, you hit next, and it starts setting up [music] the studio and the team design for me. Now, we're inside the main space. You see the studio it's sitting on standby. There is also a chat option on top where you can chat directly without dealing with the studio section at all. You can tag a staff members, call up whichever you need, and assign them tasks individually. Or, you can hand it to the supervisor [music] and let it manage the work itself. There is a model section showing that this platform uses [music] today's strong, up-to-date models. At the top, you've got the list of team members. You can check their status or click into any of them to open chat and start giving them tasks directly. If you need more people, you can use the add option to grow your team. Now, [music] so we're not just looking at the surface of the studio, I figured we should actually put it to the test and [music] see what it can do. So, I asked it to put together a content package [music] for the AI Border channel. The reason I picked this kind of test is that it's the type of task that [music] gets every part of the tool involved. They really have to show what they've got. [music] After I send my prompt, Octo starts analyzing it and calls [music] in the team members. It starts writing up information and how the work will get done. And the output it gave me was genuinely thorough and well put together. It came up with three content angles, picked one, and explained [music] why it picked that one. Then, for that chosen angle, it wrote a 3-second hook, gave a 55-second script, laid out the video scene by scene, gave visual direction for each scene, wrote image generation prompts, suggested a few titles, wrote captions specifically [music] for Instagram, TikTok, and YouTube Shorts, and even provided a production checklist. So, at this point, it hasn't generated image itself yet, hasn't produced a video yet, hasn't delivered a final ready-to-publish output. But, for a first-stage output, I thought it was solid. Now, let's move to stage two.
Here, I tell it to have each agent [music] work independently and produce their own output. And then, have Octo manage and merge all of them. After giving it that new prompt, one of the agents didn't jump straight into the work. First, it asked three questions.
What platform is this video for? Who's AI Border's main audience? And what pain points should it be targeting? At this point, Octo steps out of it. We're talking directly with that specific agent. After [music] I answered, it started analyzing and gradually moving the work forward. It asked a few more questions along the way, which I answered until it sent me the final output. The output was a complete package, not just a [music] plain text or a single script. What did the output include? A very short, punchy hook to open the video, a full script around 55 [music] seconds long, a scene-by-scene video scenario, a precise visual description [music] for each segment, ready-to-use image generation prompts, a handful of titles to AB test, captions for Instagram, TikTok, [music] and YouTube, and at the end, a full checklist. So, basically, it packages everything for you, from the idea stage all the way to ready to publish.
Something interesting was that [music] while it was working, I could see the task from the task section or from the activity log, I could see exactly what [music] each agent was doing. Up to this point, everything checked out. A complete system [music] that carried the work forward for me from zero all the way to the end. Now that everything is configured, it's time to let the team start working. Once I click start, Op task as supervisor begins coordinating the entire production pipeline. Instead of asking a single AI to do everything, it [music] automatically assigns each stage to the most suitable AI employee.
First, the story is refined, then another agent [music] expands it into a complete screenplay. From there, the storyboard is created, the visual scenes are planned, and the video generation process begins. I can follow every step as it happens and see which AI team [music] member is currently responsible for each task. What's really interesting is that I don't have to manually jump between different [music] AI tools or manage the workflow myself. The entire production [music] process is coordinated inside a single workspace, with each AI employee contributing to the final result. After a few minutes, the project is [music] finished. Let's open the generated video and see what the team created. As you can see, the entire video was generated from the original idea we started with, from story development and planning to the final visuals. The whole production pipeline was handled inside Octo task, making the process much more streamlined than using multiple separate AI tools.
Now, [music] let's talk about the other sections this tool has. There's this staff market known as the marketplace tab. What does it do? It lets you publish the AI employees you built, share the AI teams you designed, or even put entire studios you've [music] created over others. So, you can either buy and use good agents and teams from this section, or and this is the interesting part, you can put a good team you built up for sale, so others can use it, too. Think about it. Say you built a solid content creation team for Instagram posts, one that's been refined enough to understand and handle everything. You could then put those exact agents or [music] that team up for sale. It's like a game, except it's real. Or you can rent [music] them out, and that's another way to make income from it. Here's an idea I have. You could take custom team orders. What does that mean? You go build a team for any specific purpose and put it up for sale or rent. Could be for content creation, could be for writing articles, or for people who use AI help for exams.
[music] You could put together a team to help them out. So, definitely don't forget about this section. Next [music] section, scale, where the team can put its abilities to use. Here, you can get actual output from the team. As an example, I want to use the image generator capability. It takes me back into the studio and waits [music] for me to give it a prompt. I give it a prompt to make an image, it goes off to generate it, and in under 30 seconds, it gave me the picture back. This section [music] has other capabilities too you can use like music creation, a voice generator. [music] There's also a skill hub tab where you can use the skills that other people have built, and you'll find something from pretty much every category in there. Everything from Binance to open cloud memory setups. In the end, what I took away from Octa's is [music] that this isn't just an AI tool anymore. It's basically a team building system.
Instead of you juggling five [music] different tools, it pulls everything into one flow and takes over running the work itself. One thing worth noting, this tool is still isn't fully finished, and if it keeps developing the way it's going, it could end up doing a whole lot more. I think going forward, we're going to need to start thinking more about which team is better rather than which [music] AI is better. Imagine having a team that handles your work for you and carries everything [music] forward on its own. And this is just one of these tools. There are several others out there heading in exactly the same direction. Your experience turns into an AI employee, your taste turns into an AI [music] studio, and the team you build can become an income asset. I think before this thing goes mainstream, you could be one of the first people to really get your hands on it and master it. The link's in the description, [music] and definitely let me know what you think in the comments. We're not working with tools anymore, we're working with teams. Hope you enjoyed the video. See you in the next one. Bye.
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