Google's New AI Teams: One Command, Full Workflow Automation

New Google anti-gravity update is insane, and I want to show it to you the way I actually use it, right inside my own Agent OS on my laptop. So, here's what just dropped from Google anti-gravity. They call it Agent Teams. You type one command, {slash} teamwork preview, and it spins up a whole team of AI helpers. Not one AI, a team, and they split up the work and do it all at the same time. Let me

say that again in plain words. One command, a full team of AI workers all going at once, and I'm not looking at it in some coding app. I've got the anti-gravity update running inside my Agent OS. That's the little dashboard I keep on my laptop. One screen. I talk to all my AI helpers there. I can even talk to them out loud. So, when I fire off this new team command, I watch the whole thing happen

right on my own screen. Mine, not on some website, not in the cloud, on my machine. Now, stick with me because the way this team works is the cool part. When you start a team, you don't get one AI trying to do everything. You get different helpers with different jobs. Think of it like a real team at a company. One person plans, one person does the work, one person checks the work, and one person double-checks to

make sure nobody cheated or cut corners. Google actually gave them names. There's a planner. There's a worker. That's That's the one that does the building. There's a reviewer that looks over the work. There's a critic that tries to break it and find holes. And there's an auditor. This one is wild. Its whole job is to catch the other AIs when they fake it. Wait, AIs fake it? Yeah, let me tell you what happened. When Google first

tested this, the team finished a huge job way too fast, suspiciously fast. So, they looked closer. Turns out the AI helpers were peaking at old work from past runs and pretending they did it fresh. So, Google built the auditor to stop that. It checks if the work is real. If the AI is faking, the auditor calls it out. Think about how smart that is. One AI whose only job is to catch the other AI is lying.

That's the kind of thing that makes this feel different. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment, so make sure you comment below. And here's why that matters more than it sounds. For a long time, the biggest worry people had about AI wasn't

that it couldn't do the work. It's that you couldn't trust it. It would say it did something and you'd have to go check every single line yourself. That checking took so long that a lot of people just gave up and did the job themselves. So, building an AI that watches the other AIs, that's the piece that was missing. That's what turns a pile of AI helpers into something you can actually walk away from. So, why should

you care? Because these helpers don't just take turns, they work at the same time. While one plans, another builds. While one builds, another checks. It's a real team moving together all on my laptop screen in the Agent OS. Okay, quick pause here because if you're watching this and thinking this sounds amazing, but I have no idea how I'd actually use it, that's exactly why the AI Profit Boardroom exists. Here's the thing, we took this whole Agent

OS, the same dashboard I'm showing you right now, and we packed it into a zip file. You download it, you unzip it, it runs on your laptop. Inside the Boardroom, you get that full Agent OS zip ready to install, plus step-by-step tutorials that walk you through setting up Agent teams like this one and pointing them at real jobs in your business. We do four live coaching calls every week where you can ask questions about your own

setup and watch us build with it. 2,800 business owners are in there right now, a lot of them running these exact Agent tools day-to-day. Links in the comments and description, or just go to zip and follow along. Now, back to it. Let me show you what a team like this can actually do for a normal business, not coding stuff, real work. Want to grow the AI Profit Boardroom. I type one goal into my Agent OS, plan

a full welcome email series for new Boardroom members. The team splits up, the planner maps out the emails, the worker writes them, the reviewer checks the tone and fixes weak lines, the critic reads it like a picky customer and points out what's confusing. And I just watch it happen. One goal in, a finished set of emails out. See how that works? I didn't do five jobs, I gave one goal, the team did the five jobs. Here's

another one. Let's say I want more people to find the Boardroom. I tell the team, come up with 30 short video ideas about AI tools for small business owners. Boom, planner sorts the topics, worker writes the hooks, reviewer cleans them up, I get a full list while I go make coffee. That's the whole point of a team. You stop doing one small thing at a time, you hand over a big goal and let the workers split

it up. Let me give you one more example because I want this to really sink in. Say you've got a big pile of customer questions sitting in your inbox. Same questions over and over. Normally that's an hour of your day, gone. With a team, you say one thing, read these questions, group the ones that are the same and write me a clear answer for each group. The planner sorts them, the worker writes the answers, the reviewer

makes sure the tone stays friendly, and you come back to a finished set of replies you can just copy out. That's a whole morning handed off in one sentence, and this used to be locked away. When Agent Teams first came out, only the top-tier plan could touch it, the expensive one. Most people were shut out, but that changed. It rolled out wider, so more paid plans can use it now. So this isn't some far-off thing for

big tech companies, regular folks can run it. Now let me be real with you for a second because I don't want to oversell it. These teams use a lot of power. When you've got five AI helpers all going at once, that eats up your usage fast. So this isn't for tiny little tasks. You don't call a whole team to write one sentence, you call the team for big jobs, the kind of job that would take you

a whole afternoon. That's where a team shines, and that's actually good news for you because the big, slow, boring jobs in your business, those are exactly the ones you want to hand off. The stuff that eats your whole day, let the team take it. Let me put it another way so it's crystal clear. Think about the difference between asking one person to paint a whole house versus sending in a crew. One person, you're waiting all week.

A crew shows up, one tapes the edges, one rolls the walls, one does the trim, and it's done by dinner. That's the exact jump we're talking about here. Same job, way less waiting, and you didn't lift a brush. Here's what I keep thinking about. A year ago, AI could barely finish one small task on its own. It needed you holding its hand the whole way. Now, you give it a goal, walk away, and come back to

finish work that another AI already checked. That's a huge jump, and it happened fast. So what does that mean for you sitting there watching this? It means the way work gets done is shifting. Right now, you might do everything yourself. You plan the post, you write it, you check it, you fix it. Four jobs, one you. With a tool like this, you become the boss. You give the goal, the team does the four jobs. You just

point, and the people who learn how to point, how to give good goals to these teams, they're going to get way more done than everybody else. Not because they work harder, because they've got a team. And I want to be honest about what giving a good goal even means, because that's the real skill here. It's not magic words. It's just being clear. Instead of saying help me with emails, you say write me five welcome emails for

new members. Keep them short, friendly, and end each one with a question. The clearer you are, the better the team does. That's it. That's the whole skill. And the good news is you already know how to do it. You do it every time you explain a job to another person. Let me show you one more thing on my screen here, because I love how this looks in the Agent OS. When the team runs, I can see

each helper. I can see the planner working. I can see the worker building. I can see the checker waiting its turn. It's like watching a little office run itself, and it's all on my laptop. Nothing leaves my machine. No accounts, nothing to log into. Just me and my team of AIS. That's why I run the anti-gravity update inside my Agent OS instead of some app. I like keeping it all on one screen. I like talking to

it out loud. I like that my chats save right to my notes. It just feels like mine. Now, here's a question you might have. Do I need to be a coder to use this? No, that's the best part. You're not writing code, you're giving instructions in plain English. Plan this. Write that. Check this. If you can text a friend, you can run a team. The AI handles the hard part, and that flips the whole thing. For

years, this kind of power was only for tech people. Now, it's for anybody who can type a clear goal. A shop owner, a coach, a person running a small online store, anybody. So, think about your own week. What's the big job you keep putting off? The one that takes hours? Maybe it's writing out your whole sales process. Maybe it's planning a month of posts. Maybe it's sorting through a pile of customer questions. That's a team job.

That's exactly what you hand to agent teams, and you don't have to figure it out alone. This is the stuff we build together inside the AI Profit Boardroom every single day. You get the Agent OS zip file ready to install, so you're running the same setup I just showed you. You get daily tutorials that show you how to point these AI teams at real business jobs, getting more leads, saving hours every week, handling the boring work

for you. Four coaching calls a week where we go deep on setups just like this one, and you can ask about your own. A prompt library, so you always know exactly what to type. And a member map, so you can find and team up with other people near you who are building the same way. There's always someone online to help. Grab it all in the comments and description, or head to aiprofitboardroom.com. And one more thing before

you go. If you want the full notes from this video, plus over 100 more real AI use cases like this one, come join the AI Success Lab. It's our free community. You'll get all the video notes, all the step-by-step stuff, and access to 85,000 members who are all learning this together. It's free. Links are in the comments and description. Go grab your spot. That's the new Google anti-gravity update. One command, a whole team of AI workers

planning building checking all at once, right on my own laptop in the Agent OS. This is the direction everything is heading. The people who learn to run a team now are going to be miles ahead. So, don't just watch it. Go run one.