Google's NEW Cloud Managed Agents are INSANE!

**Julian Goldie** (0:00)
So Google just released a new API for Managed Agents in the Gemini API. And what that means essentially is you can have Cloud Managed AI Agents building for you on a computer out in the Cloud that is not local or running for you, but you can actually get it to go off and build stuff. I'm going to show you some of the cool stuff that we actually did with this. Now, you can get, for example, like an anti-gravity agent working inside the Cloud as a Managed Agent. There's all this coding documentation. What I actually did is I just built it into our agent operating system, and I'll show you what it can do and how it works. This is working with Gemini 3.5. So this is Gemini 3.5 working in the Cloud. There's a bunch of Managed Agents. Obviously, it's designed for agentic stuff. And basically inside Google's whole ecosystem, this is what they've implemented. Now, if you're wondering where to get the Gemini API, you can get it from AI Studio. So this is AI Managed Agents with Gemini API. And what this means essentially is like, this is powered by Antigravity and Gemini Coding Agents. And you can use the API to build cool stuff or to do research. The way that I would actually use this is like, if you just need a separate setup, but you want to use AI agents, you want them totally siloed away in the cloud, and then also running 24 seven, this is pretty cool. And I'll show you some examples of how it works for us. Now you can go inside AI Studio. Again, I wanted to use the setup with the API so that I could plug it into my agent operating system. And all you need is the API key from AI Studio, and then you can go off and start using it. And if you don't know how to use APIs or code or that sort of thing, it's pretty chill, because what you can do is you can just give it to something like Claude, and Claude can figure out how to handle everything. So for example, with Claude, I actually just gave it access to my managed agents API, and it plugged the whole system into my agent operating system.
Then I could see like, okay, what's it working on, what we're building, how's it going, etc.
What have you done so far? So if we go over inside the agent operating system here, we go to entity and then we go to managed agents, you can see three things that were built. Now, you might say, well, have you only built three things with this? I would say it takes a long time because what these agents are doing is they're working for like 30 minutes at time, going off and doing stuff in the Cloud, and then you don't need to worry about it. So like you give it a task, long horizon, it works on that goal, it gets stuff done, and then it comes back later, as you can see. Now, the other thing that I would say that's kind of like a limitation with this setup is that yes, it creates nice stuff as you can see right here for a beautiful research report. But actually one of the biggest issues was like the UI on the first time around. This is an improved version, but before it didn't look that good when it gave me the research report. So it looks good now and it's pretty cool what it's done, how it's done this whole research report. And again, Google Managed Agents as an API is awesome with anti-gravity for doing research in the cloud, but was it perfect first time around? No. So like expected a little like back and forth is what I'm trying to tell you. You see another example here. So this is a research report on June and what happened in terms of AI automation in June with AI agents. And so what we've done is we got anti-gravity, the Gemini API for managed agents, and then we got these Cloud managed agents to go off and go and do some research for us based on the latest stuff and then put it into a beautiful presentation like you can see right here. And so this is called the June 2026 AI Titans report in Intelligence Retrospective. And it's looking at everything that's been announced. So for example here, I mean, this has already been taken down. That's how fast AI moves. Like I created this this morning and it's already been taken down, but what you can see here is we've got Claude, Fable 5 and Mythos 5 announced inside this report. Siri AI, obviously, that was a new announcement. Gemma 4 came out earlier this month. It feels like even long ago. That's how fast AI moves. But it's only a few days ago. Gemma as well. And so it's actually really, really good at research. And then taking that research and plugging it into a beautiful report like you can see here, and then we can flick through the presentation. So I like the UI of this. This was pretty nice. Again, we had to go back and forth on it a little bit, but look how nice it is, right? Again, the AI agents went and did deep research, found everything, compiled it into a report, added dates, then organized it beautifully with animations like you can see. And if you asked, for example, Claude to do the same thing, it wouldn't look as good. What I mean by that, for example, is like when I normally get research on what happened in June for AI automation, it's going to be super old boring stuff. So let's try this, for example, if we go inside Claude compared to Google Managed Agents, I'm going to like, give me a research report on what happened in June for AI automation.