This Google Jules Update Changes EVERYTHING!

New Google Jewels update is insane. Today I'm going to show you how Jules just changed the game. This is huge. You can now code without a repo. One click and you're done. This is the future of AI coding and it's going to blow your mind. Okay, so Jules just dropped something that I need to tell you about

right now. This update is called Repolis and it just came to their REST API. And I'm going to be honest with you. This changes everything about how we code with AI. Let me explain what just happened. Before this update, if you wanted to use Jules to code something, you needed a repository. You needed GitHub. You needed all this setup. You needed to connect things. It was a whole process. But now, now you can just send one post request. That's it. One request and Jules starts coding for you in the cloud. Think about that for a second. No setup, no repository, no configuration files, nothing. Just one API call and your code in. Here's why this matters.

Jules now has a cloud environment ready to go. It comes with Node, it comes with Python. It comes with Rust. It comes with Bun. All the major runtimes are just sitting there waiting for you, pre-loaded, ready to use. 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. So, what does this actually mean

for you? It means you can automate coding tasks without any of the usual friction. You don't need to spend hours setting up a development environment. You don't need to worry about dependencies. You don't need to configure anything. You just tell Jules what to build and it builds it. Let me give you a real example. Let's say you run the AI profit boardroom and you need to build a quick automation script. Maybe you need a Python script that scrapes data from your competitor's websites. Or maybe you need a node script that sends automated emails to your community members. Before this update, you need to set up a whole repository just to test it. Now, you just send one post request to the Jules API and it writes the code for you in their cloud environment. Here's another example. Let's say you want to build a custom tool for your business. Maybe it's a lead generation tool. Maybe it's a content analyzer. Maybe it's something that checks your SEO scores automatically. With Repolis, you can prototype that entire tool without ever touching GitHub. You just describe what you want in your API request and Jules builds it in real time. This is what I've been waiting for. This is the moment where AI coding becomes accessible to everyone. You don't need to be a developer anymore. You don't need to understand Git commands. You don't need to know how to configure Docker containers. You just need to know what you want to build. Now, if you want to dive even deeper into AI automation, I've got something special for you. I run a community called the AI Profit Boardroom. The best place to scale your business, get more customers, and save hundreds with AI automation. Learn how to save time and automate your business with AI tools like Jules. The link is in the comments and description. Let me

break down how this actually works. The Jules REST API now has a repless endpoint. You send a post request to that endpoint. In that request, you tell Jules what you want it to code. Jules spins up a cloud environment. It loads the runtime you need. It writes the code. It tests the code and it gives you back the results. All of this happens in seconds. The cloud environment is the key here. Jules isn't running this on your computer. It's running it in their infrastructure. That means it's fast. That means it's reliable. That means you can run multiple tasks at the same time without slowing down your own machine. And the run times are already there. You want to code in Python. It's ready. You want to use node, try rust for performance, it's ready. You want to use bun because it's faster than node, it's ready. Everything is just sitting there waiting for you to use it. Now, here's where this gets really

interesting for business owners. Most business automation requires small scripts and tools. You need a script to pull data from an API. You need a tool to process customer information. You need automation to handle repetitive tasks. These aren't huge projects. They're small, focused tasks. And that's exactly what Repless is perfect for. Before you'd hire a developer to build these things, or you'd spend hours learning to code yourself, or you'd use no code tools that limit what you can do, but now you can just tell Jules what you need and it builds it for you. No hiring, no learning curve, no limitations. Let me show you how this would work for the AI profit boardroom. Let's say we want to build a tool that analyzes our community engagement. We want to see which posts get the most comments. members are most active. We want to track growth over time. With repoles, I can send one API request that says, "Build me a Python script that connects to our community platform API and pulls engagement metrics. " Jules writes that script in the cloud. It tests it. It runs it, and I get the data I need all in one request. Or let's say we want to automate our content creation process. We want a tool that takes a topic, researches it, and creates an outline for a video script. With Repolis, I can tell Jules to build a node script that uses web search to research topics and formats the results into video outlines. Jules builds it, tests it, runs it, done. This is the power of removing friction. Every extra step in a process reduces the chance that people will actually use it. Every bit of setup is another opportunity to quit. Rippleis removes all of that. It makes AI coding as simple as sending a message. Now, I

know what some of you are thinking, but what about security? What about my code? What about my data? These are good questions. Jules runs everything in isolated cloud environments. Your code doesn't mix with anyone else's code. Your data stays in that environment and you control what happens with the results. The other question I hear is about cost. How much does this cost compared to running things locally? Here's the thing. When you run things locally, you're using your own computer resources. electricity. You're using your own time to set things up. With Repolis, you're paying for convenience and speed. For most business use cases, the time you save is worth way more than the cost of the API calls. Let's talk about real world applications. If you're running an agency like I do, you can use this to automate client reports. You can build custom tools for each client without maintaining separate repositories. You can prototype new services quickly to see if clients want them. If you're running an online community, you can automate member on boarding. You can build tools to track engagement. You can create custom integrations with other platforms your community uses. If you're creating content, you can automate research. You can build tools to analyze what content performs best. You can create scripts that help you optimize your content workflow. The common thread here is speed. Rapist lets you move fast. You can test ideas in minutes instead of days. You can build tools as you need them instead of planning everything in advance. You can iterate quickly because there's no setup time. And here's something most people miss. When you remove the setup friction, you start building more things. You start solving problems you wouldn't have bothered with before. That script that would save you 10 minutes a day but would take two hours to set up. Now you build it because it only takes five minutes. Those small automations add up. They compound. Now let me tell you about the different runtimes and why having them all preloaded matters. Python is great for data processing and AI tasks. Node is great for web automation and API interactions. Rust is great when you need performance. Burn node compatibility but faster speeds. Having all of these ready means you can use the right tool for each job. Before Repulus, you'd need to decide which runtime to use before you started. You'd need to set up that environment. You'd need to install dependencies if you picked the wrong runtime. You'd need to start over. Now you can try different approaches without any penalty. You can test Python and Node and see which works better. You can switch runtimes mid project if you need to. This flexibility is huge for learning, too. If you're trying to understand how different programming languages work, you can experiment with all of them without setup. You can compare how Python handles a task versus how Node handles it. You can see the differences in real time. For the AI profit boardroom community, this means we can teach people automation without making them learn development environment setup. We can focus on the actual problems we're solving instead of the technical setup. We can help more people get value from AI automation because the barrier to entry just dropped to almost nothing.

Here's what you should do next. First, if you're not already using AI coding tools, start now. Don't wait. The learning curve is getting easier every day and tools like Repless prove it. Second, think about what parts of your business you could automate. But make a list. Start with the small repetitive tasks. Those are the easiest wins. Third, test things with tools like Repololis. Testing is cheap and fast. Try building something small and see how it works. Now, if you want to dive even deeper into AI automation, I've got something special for you. I run a community called the AI Profit Boardroom. The best place to scale your business, get more customers, and save hundreds with AI automation. Learn how to save time and automate your business with AI tools like Jules. And if you want the full process, SOPs, and 100 plus AI use cases like this one, join the AI success lab. You'll get all the video notes from there, plus access to our community of 45,000 members who are crushing it with AI. The link is in the comments and description.