New AntiGravity Update is INSANE! 🤯

Key Takeaways

Google just dropped something that makes every other AI coding tool look completely outdated. It's called anti-gravity. And this isn't just a new feature or a small update. This is a completely different way of working with AI. Most tools make you wait, you write a prompt, you stare at the screen, you wait for the result, you give feedback, you wait again. That loop is exhausting and it's slow. That loop is now dead. Google Anti-gravity just introduced AI agents that keep working while you give feedback in real time. You don't pause them, you don't restart them, you don't lose any progress. You just steer them midbuild and they adapt instantly. It's like texting notes to a developer while they're actively coding and watching the changes appear live in front of you. And the wildest part, the agent never stops. It just keeps going the whole time. This is the beginning of AI employees, not AI assistants, not AI suggestions. Actual AI employees that you manage, delegate to, and direct. Today, I'm breaking down exactly how it works, what's new in the March 2026 update, and how to actually use it to grow a real business. 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. And Julian Goldie reads every comment, so drop one below right now. He genuinely reads them all. All right, let's get straight into it. Google Anti-Gravity new update, why it matters, and how to use it in a real business today. Google Anti-gravity is an AI first development environment. That means it wasn't built around you writing code with AI helping on the side. It was built around AI agents doing the actual work, right, Doris? and you directing them like a manager. Unlike tools like Copilot or Cursor, which assist you while you code, anti-gravity agents plan tasks, write full code, run terminal commands, open browsers, test applications, and verify their own work all on their own without you lifting a finger. It runs on Gemini 3 Pro, Google's most advanced model for reasoning and multi-step tasks. It also connects with Claude Sun and OpenAI models depending on your setup. But none of that is the news. The news is what they just shipped in this update. This is the update that changes everything. Pay attention to this part. Before this update, you'd start a task, watch the agent work, wait for it to finish, then review the result, and give feedback. Then it would go again. Standard, fine, but painfully slow. Here's what's different now. You start a task. The agent works. You give feedback while it is still building. The agent reads your comment, adapts, and never stops running. That's asynchronous agent collaboration. And it sounds technical, but the idea is dead simple. You are no longer waiting for AI to finish. AI is running alongside you continuously. Think about what that actually means in practice. You're no longer doing this. Prompt, wait, result. Feedback. Wait, new result. You're doing this instead. Prompt. Agent works. You comment. Agent adapts. Agent keeps going. Done. That is not an assistant. That is an employee. And managing an employee is a fundamentally different skill than prompting a chatbot. The people who learn this skill right now are going to be very hard to compete with. Quick pause here because this is exactly what we help people implement inside the AI profit boardroom. The AI profit boardroom is our private community for entrepreneurs and business owners who want to use AI automation tools like Google Anti-gravity to save time, move faster, and grow their business without adding more hours to their day. We go deep on real tools. We share the actual workflows. We give you readytouse SOPs you can plug into your business. the same week you join. If you want to go beyond just knowing about these tools and actually start using them, come join us. The link is in the description below. What are artifacts? The whole Async collaboration system runs through something called artifacts. Artifacts are the proof of work the agent generates as it builds your project. Not raw logs, not walls of terminal output, actual readable deliverables, task lists, implementation plans, screenshots of live previews, browser recordings, code diffs, step-by-step walkthroughs, and here is the part that makes it click. You can leave comments on artifacts just like commenting inside a Google doc. So, picture this. You're using anti-gravity to build a new landing page for the AI profit boardroom, our AI automation community for entrepreneurs. You give the agent the brief. It starts building immediately. It takes a screenshot of the draft layout, uploads it as an artifact. You look at it and leave a comment, move the CTA button above the fold, make the headline bigger, add a line mentioning our 40,000 member community. The agent reads the comment, updates the code, takes a new screenshot, uploads a fresh artifact. You never touched a single line of code. You never restarted the task. You never lost any progress. You just steered. That's the power of this system. Anti-gravity gives you two main interfaces and they serve completely different purposes. Editor view is the familiar one. It looks like a standard IDE. Code completion, prompt based coding, an agent sidebar. Clean, familiar, easy to get started with even if you've never used the tool before. Manager view is where the real power lives. Think of it like mission control for AI agents. You can run multiple agents simultaneously. Watch what each one is working on in real time. Assign new jobs midtask. Comment on their artifacts. Review browser recordings all from one dashboard. This is what makes parallel AI development actually possible. You're not managing one task at a time. You're running a whole team of agents, all building, all testing, all producing artifacts while you sit in the middle directing traffic. Let me show you exactly what this looks like in practice. Two real workflows. No fluff. Workflow one, landing page for the AI profit boardroom. I open anti-gravity. I type, build a high converting landing page for the AI profit boardroom. It needs to explain the value of AI automation. Highlight our 40,000 member community and have a strong CTA to drive new signups and leads. The agent plans the project, writes React code, spins up a local preview, tests the page layout in a real browser, takes a screenshot, uploads it as an artifact. I look at the screenshot. I leave a comment. The headline is too vague. Make it more direct and benefit focused. Move the join button above the fold. Add a short testimonial strip below the hero section. Agent updates everything. Keeps building. Uploads a new screenshot. I approve the direction. Done. That used to take days coordinating with the developer or hours grinding through it manually with anti-gravity. 10 minutes of focused attention and a handful of comments. Workflow 2, content analytics dashboard. Now, say I want to track how AI Profit Boardroom content is performing, views, watch time, growth week overweek, top posts by engagement. I tell the agent, "Build a content analytics dashboard for the AI Profit Boardroom. Show YouTube growth metrics, top performing videos by watchtime, and weekly trend lines. Clean and modern design. Agent builds the backend logic. Creates the chart components. Runs tests against dummy data. Records a full browser. Walkthrough of the working dashboard. All right. Uploads the recording as an artifact. I watch the recording. Leave one comment. Add a table underneath the charts showing top 10 videos by watch time this month. Done. Updated. Moving on. This is how AI profit boardroom members are already operating. Not just using AI tools, actively managing them like a team. If you want to actually implement this inside your business, not just know about it, come join the AI profit boardroom. We go hands-on with tools like anti-gravity, build real workflows together, and give you everything you need to put AI automation to work in your business this week. Link is in the description. And if you want the full SOPs, step-by-step process breakdowns, and 100 plus AI use cases like this one, join the AI success lab. It is our free AI community with 40,000 members who are already putting this into practice every day. You will get all the notes from this video in there, plus access to the full community. Links are in the comments in the description. Drop a comment below right now. Julian reads every single one. See you in the next one.