AI. Okay, looks like the task is done. The main feature we're working on. Also, side note, looks like the two tasks we gave our agents on the side to do are done as well. So, our employees are doing a very good job for us. So, what I'll show you here now is okay, we have five employees doing different features for us, building different things out. Won't this get confusing? Won't it be hard to integrate all the features at once? No, no. I'll show you how to do that right now. We'll start off with the main feature we built out and see how that did. Then I'll show you how to integrate the work from our other AI employees. All right, so let's do this. Let's test it out. Uh, select up the two models. Okay, so we can models here. Let's choose GPT40. So we got Llama 3. 2 and GPT40. Let's say, hey, are you there? Let's see if this works. I'm going to hit enter. Yes, I'm here. I'm ready to help. Okay, so they went to both of them. GPT40, Llama 32, both work. All right, so let's give it a more complex task here. Let's say, write me an email announcing a new feature for better AI. Let's see how this goes here. Okay, so it's sending it to both. Uh, okay, it's a little confused because it's opened up four windows here, but that's fine. But look at this. Okay, so we can now compare between two models the outputs for both. So we basically oneshot this feature, right? Where I can send one prompt to multiple models and compare the outputs. So our main AI agent, right, the plug-in for cursor for codecs oneshotted this pretty complex feature, right? That's integrated. That's all good to go. But now let's see how our AI employees did that. We spun up on our phone. Maybe we were in line for In-N-Out. We're getting a burger. I give my employee a couple tasks to do. They're working. I worked on my own thing inside the codeex plugin here. Let's see how our employees did to see how good this workflow really is. So, when I'm in the codeex plugin here, I can hit back and I can actually see here all the tasks I have for my app, including the ones I've done on other platforms. Right. It's also pulling tasks from the Codeex desktop app, jackg. com/codex. I can put in tasks here as well. Right. So this is showing me all the tasks from across all the different platforms I'm using Codeex on. Again, an advantage compared to Claude Code because Claude Code is just the CLI, right? So here we go. Add prompt optimizer tool to the toolbar. Right now it's not there. Right now it's just these four tools right here. So let's do this. Let's pull down the task. If you click on the task, it shows you a summary of what it did. The AI agent gives changed and then it shows you all the code changes it makes. And now what we can do here is we can click apply changes and continue locally. So we hit apply. It pulled down that code. Now let's pull this over here. So this is for the prompt optimizer. I hit refresh. So it's not here at first. I'm going to hit refresh. And there it is. Prompt optimizer right there. So I pulled it down. We go into prompt optimizer. Wow, it built out this entire feature for us. So, this is all brand new. Prompt optimizer transform rough ideas. Let's just see if this works. I'm just add I'm curious if it the AI agent actually built out the end toend functionality here. So, I'm going to say, write me an email announcing a prompt optimizer tool I implemented in my app, better AI. Let's see if it actually optimizes the prompt for us. This would be something special that just end to end built out everything from that one prompt. Wow, look at this. It actually optimized the entire prompt. It added way more to it and it gave suggestions. So that one little task we gave add prompt optimizer tool to toolbar actually built out an entire end to end massive feature. There's a whole bunch of other things. Prompt library. Does that actually work? Wow. Prompt li Okay, so prompt library will be back here. We can go back to the chat. It builds out a pretty complex feature and all we did was quickly go on our app in Codeex and say, "Hey, build this out for me. " So all I needed to do was send these tasks out right on my mobile phone. Then I come back to my desktop. I just click apply changes. It takes all the code changes from the cloud that our agent did in the cloud, applies it locally, and now all I have to do is commit this to GitHub, which is really simple to do. I basically have AI employees working for me whenever I want. Right? If I'm using Claude Code, if I think of something to do, I have to go to my computer, open up my CLI, and give it commands. With codeex, what makes this workflow really, really interesting is it's crossplatform and has as the handoff. So I can put tasks wherever I am on mobile and then continue working on them on desktop. And if you're sitting at your desktop like I am now, you can just pass off tasks for your other AI employees to do inside codeex while you do your own thing and build out your main functionality inside the plug-in here. This is why I think Codeex might be the best AI coding tool right now is because they've built out this really awesome ecosystem of different ways to use codecs, right? You can delegate when you want to. You can delegate the simple tasks. hard tasks. And you can work on the more difficult tasks by yourself if you want to handhold it. But here's even more cool things you can do. So, I showed you how you can have AI employees that code for you. How about AI employees that do marketing for you? I'm gonna go back into codeex on iOS