New FREE Chinese Computer Use AI Agent is INSANE! 🤯

New free open- source computer use AI agent is insane. This new open- source AI agent just completely changed the game for computer automation. It can control your computer better than most humans can and it's totally free. Today I'm going to show you OpenCA. This thing just outperforms systems that cost hundreds per month using nothing but open source code and you can see it working live right now. 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. So, what exactly is Open CUA? And why is everyone freaking out about it? It's like having a super smart digital assistant that can actually use your computer for you. We're talking about an AI that can click buttons, type text, navigate websites, and complete complex multi-step tasks just like a human would. But here's the insane part. It's completely free and open source. The research team at Exlung AI based at the University of Hong Kong just dropped this absolute bombshell that's got the entire tech industry talking. While companies like OpenAI are charging $200 a month for their operator system, these researchers just released something that achieves competitive performance as a completely free open-source alternative. Let me break down what makes this so revolutionary and why this could change everything for entrepreneurs and business owners. Open CUA comes with something called AgentNet, a massive computer use data set. We're talking about over 22,500 human annotated tasks across Windows, Mac OS, and Ubuntu. The researchers claim this is the first large-scale desktop computer use agent trajectory data set at this scale, spanning over 140 applications and 190 websites. The performance numbers are absolutely mind-blowing. On the OS world verified benchmark, which tests how well AI can perform real computer tasks in controlled environments, open CUA 32B scored 34. 8%. That establishes a new state-of-the-art among open source models. To put this in perspective, this free system is outperforming many commercial alternatives that cost thousands of dollars. But wait, it gets even more impressive. This system can work across over 200 applications and websites. We're talking about everything from Microsoft Office to Adobe Creative Suite to web browsers to operating system functions. You can literally see this in action on their website. Watch the AI control Google Sheets, navigate Amazon, edit presentation slides, search for academic papers, and even control Spotify. It's like having a digital employee that never gets tired, never takes breaks, and works around the clock. The technical breakthrough here is something called reflective chain of thought reasoning. Basically, the AI thinks about each step before it acts, just like a human would. It doesn't just randomly click things. It plans, executes, learns from mistakes, and adapts to unexpected situations. They've created a sophisticated pipeline where a generator and reflector work together iteratively to produce and verify reasoning between observations and actions. This makes it incredibly robust for real world applications. Now, here's where it gets really exciting for business owners and entrepreneurs. This technology could automate massive chunks of your daily workflow. Think about all those repetitive tasks you do on your computer every day. data entry, file organization, email management, social media posting, research tasks, report generation. Open QA could potentially handle all of that without any human intervention. The system works by taking screenshots of your screen and deciding what actions to take next. It can click buttons, type text, scroll pages, navigate complex interfaces, and even handle multi-lication workflows. And because it's trained on real human demonstrations, it understands context, and can adapt to unexpected situations that would break simpler automation tools. What really impressed me is how robust and reliable this system is. The researchers tested it across three different operating systems and hundreds of different applications. This isn't some toy demo that only works in control conditions. This is production ready technology that could fundamentally change how we work with computers. The agentet data set they created is absolutely massive. 12,000 tasks on Windows, 5,000 on Mac OS, and 5,000 on Ubuntu. Each task includes step-by-step human demonstrations showing exactly how to complete complex workflows involving multiple applications. But here's what makes this even more accessible. They've also released the AgentNet tool. This is a crossplatform annotation application that can automatically record tasks without interrupting your workflow. And if you want to see this technology in action right now, they actually have incredible live demos available on their website at opencua. xl. ai. I'm talking about a full computer use showcase with step-by-step demonstrations of the AI performing real tasks. You can watch it search for weather in Manchester, create tables in presentation slides, search for research papers on Google, work with spreadsheets, manipulate Amazon listings, control Spotify, and handle complex multi-lication workflows. These aren't fake demonstrations. These are actual working examples you can see right now. But here's what's really wild about this whole situation. They're giving it all away for free. the models, the data sets, the training code, the evaluation benchmarks, everything. That's a massive statement to the big tech companies trying to lock this technology behind expensive pay walls and subscription services. Julian Goldie reads every comment, so make sure you

comment below if you're excited about this technology and want to see more coverage of open-source AI tools. If you want to get your hands on the AI training that's helping entrepreneurs scale their businesses and implement these automation tools, check out the AI money lab link in the comments and description below. The system is particularly impressive at multi-step workflows that involve switching between different applications. Something that would take you 20 or 30 minutes of clicking, typing, and navigating could be completed by OpenCA in just a few minutes with perfect accuracy and consistency. What's really impressive is the error handling and adaptability. When the AI encounters unexpected situations, pop-up windows, or system errors, it doesn't just crash or give up. It adapts and finds alternative solutions, just like an experienced human worker would. That's the difference between a toy and a professional automation tool. The research team also built in comprehensive safety measures to prevent misuse. The system is designed to work within ethical boundaries and won't perform harmful, illegal, or inappropriate activities. They've learned from the mistakes and controversies of other AI companies in this space. For developers and tech enthusiasts, this is pure gold. You can actually examine the source code, access the agentet tool for recording your own computer use demonstrations, modify the system for your specific needs, build custom applications on top of it, and contribute improvements back to the community. They even have working demos on their website that you can watch right now. Everything from weather searches to presentation editing to e-commerce tasks. Try doing that with OpenAI's completely closed blackbox system. I've been testing AI automation tools for years, and most of them are glorified macro recorders that break as soon as anything changes. Open Seat UA is fundamentally different because it actually understands what it's looking at. It can handle dynamic content, unexpected pop-ups, interface changes, and complex user interfaces that would completely break simpler automation systems. The timing of this release is absolutely perfect. We're seeing massive layoffs in tech, rising costs for AI services, inflation hitting small businesses, and increasing demand for automation solutions. Open CUA gives small businesses and individual entrepreneurs access to the same level of sophisticated automation that was previously only available to Fortune 500 companies with massive tech budgets. One thing that really stands out is the exceptional quality of the training data. Most AI systems are trained on synthetic data or scraped content from the internet. Open CUA was trained on real human demonstrations of actual work tasks performed by experts. That means it learned from watching skilled professionals perform their jobs, not from random internet content or artificial scenarios. The benchmark results speak for themselves and show just how impressive this system really is. On Web Voyager, which tests web browsing and online task completion, systems like this typically struggle with the complexity and unpredictability of real websites. But OpenCua demonstrates strong performance across diverse web environments, handling everything from e-commerce sites to productivity platforms to complex business applications. What makes this even more remarkable is that it's coming from a university research lab, not a massive corporation with unlimited resources and billions in funding. This shows that genuine innovation isn't just happening in Silicon Valley boardrooms. It's happening in universities and research institutions around the world. The system architecture is specifically designed for scalability and accessibility. Unlike some AI systems that require specialized hardware, expensive cloud infrastructure or complex setup procedures, Open CUA can run on standard consumer hardware. That makes it accessible to individuals and small businesses who don't have massive tech budgets or dedicated IT teams. What's happening here is much bigger than just one AI system or research project. We're witnessing the democratization of advanced AI capabilities. Technologies that were previously locked behind corporate walls and expensive subscriptions are becoming freely available to everyone with an internet connection. The research methodology behind Agentet is particularly impressive and sets a new standard for the field. By recording real human interactions across diverse software environments, they created training data that captures the full complexity of computer use, not just simplified scenarios or artificial tasks. This release also highlights the truly global nature of AI development and innovation. While much media attention focuses on American companies, groundbreaking work is happening in universities and research institutions worldwide. The University of Hong Kong team is making significant contributions to open AI development. Future of work is being written right now and open source AI automation tools like OpenCUA are giving everyone a chance to participate in that future actively. Whether you're watching their incredible live demos on OpenAx Long AI, showing the AI, controlling everything from weather apps to presentation software, downloading the agentet tool to record your own workflows or diving into the full source code and models. You're not just observing this transformation. You can be part of building it. If you're serious about scaling your business and want to join over a thousand other entrepreneurs leveraging AI for growth, check out my AI profit boardroom. is the best place to scale your business, get more customers, and save hundreds with AI automation. Currently have 10,000 members working together to build the future. If you want to book a free SEO strategy session to discuss how AI automation could transform your specific business, there's a link in the comments

and description below. And you see how I show a checklist of 100 different tutorials that were given away as freebies every day inside the school feed in our AI money lab. We also have an SOP and process for implementing these automation tools along with over 100 use cases and real world examples. You can get all the video notes and resources plus access to our community of 19,000 members who are all working on scaling their businesses with AI. link in the comments and description.