Build Anything with GLM 4.7, here's how...

GLM 4. 7 just dropped and it's insane. This thing automates coding, research, tool workflows, everything. It's open source, it's fast, and it competes with GPT and Claude. I'm going to show you exactly how to use it to automate your business. Let's go. 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. All right

let's talk about GLM 4. 7. This is the newest model from ZI, and it's a massive upgrade. If you've been sleeping on open-source models, wake up because this thing is a beast. GLM 4. 7 is built for real work, not just chatting, real automation, real coding, real tool usage. Let me break down what makes this model special. First, it's an open- source model. That means you can download it, run it locally, or use it through APIs. No gatekeeping, no waiting lists. just grab it and go. Second, it's optimized for coding. And I'm not talking about basic Python scripts. I'm talking about full stack development, terminal commands, multi-step workflows, API integrations. This model can handle it all. Third, it has insane reasoning power. On coding tasks, it matched or beat many of them in certain categories. On reasoning tasks, it scored higher on humanity's last exam benchmarks. These are hard tests with logic puzzles, math problems, multi-step reasoning. GLM 4. 7 crushed them. It also did really well on SWEBench. That's a benchmark for real world software engineering tasks like fixing bugs, adding features, and refactoring code. GLM 4. 7 outperformed GLM 4. 6 by a huge margin, and it's competitive with the best models out there. Here's another cool feature. GLM

4. 7 has a 200K token context window. That means it can handle massive inputs like long documents, entire code bases, multi-turn conversations. It won't lose track. It will remember everything. And here's where it gets really interesting. GLM 4. 7 is great at UI generation. This is called vibe coding. You describe a web page or a slide deck and it builds it with clean design, modern layout, professional quality. Let me give you an example. Let's say you want a new landing page for the AI profit boardroom. You could say, "Design a landing page that explains the benefits of AI automation, shows real results from members, and has a clear call to action to join the community. GLM 4. 7 will generate the HTML, CSS, and JavaScript. You'll get a fully functional page in minutes. No designer needed, no developer needed, just you and the AI. Before I show you more, let me tell you about the AI profit boardroom. This is where we teach you how to automate your business with tools like GLM 4. 7. You'll learn how to use AI to save time, scale faster, and work smarter. We've got members automating content creation, lead generation, customer support, and more. All with AI. If you want to stop doing repetitive tasks and let AI handle them, join us. Link in the description. All right, back

to GLM 4. 7. Now, let me show you how to actually use this thing. There are three ways to get started. Option one is use the cloud version. Go to chat. ci, sign up for free, and start chatting with GLM4. 7 immediately. No setup required. Option two is subscribe to the coding plan. This gives you access to advanced features, better integrations, more API calls. If you're serious about automation, this is the move. Go to z. i subscribe to check it out. Option three is download the model weights. Head to huggingface. co. z. org GLM4. 7. Download the model and run it locally on your own hardware. This is for advanced users who want full control. You can deploy it with transformers or VLM totally customizable. Now, here's where

it gets practical. Let me give you some real use cases. Use case one is automated software development. Let's say you run a marketing agency like Goldie Agency. You need a custom dashboard to track client SEO performance. You could hire a developer or you could use GLM 4. 7. Give it a prompt like build a dashboard that shows keyword rankings, backlink growth, and organic traffic for multiple clients. Use Python and Flask for the back end. Use ChartJS for visualizations. GLM 4. 7 will write the code, set up the database structure, create the API endpoints, and build the front end. You'll have a working prototype in hours instead of weeks. Use case two is content automation. Say you need to create 50 blog posts for the AI profit boardroom about different AI tools. You could write them manually or automate it. Give GLM 4. 7 a prompt like research the top AI automation tools in 2025. For each tool, write a 1000word blog post that explains what it does, who it's for, and how to get started. Include examples and screenshots. GLM 4. 7 will research each tool, structure the content, write engaging copy, and format everything perfectly. You just review and publish. That's 50 hours of work done in 5 hours. Use case 3 is data processing. Let's say you get 1,000 customer support emails every week. You need to categorize them, extract key information, and route them to the right team. GLM 4. 7 can automate this. It will read each email, identify the issue, categorize it as billing, technical or sales, extract relevant details like account numbers and dates, and send it to the appropriate department. This saves your team hours every single day. Use case 4 is research and analysis. Imagine you're launching a new AI course. You need to research your competitors, analyze their pricing, features, and marketing strategies. You could spend days doing this manually, or you could use GLM 4. 7. Give it a prompt like find the top 20 AI automation courses online. Create a spreadsheet with their pricing, curriculum, reviews, and unique selling points. GLM 4. 7 will browse the web, collect the data, organize it into a clean spreadsheet, and give you insights on gaps in the market. You'll know exactly how to position your course to stand out. Now

let me give you some tips for getting the best results with GLM 4. 7. Tip one is use structured outputs. When you're automating workflows, ask GLM 4. 7 to return data in JSON format. This makes it easy to integrate with other tools and systems. For example, instead of asking, give me a list of keywords, say, give me a JSON array of keywords with search volume and difficulty scores. Tip two is use preserved thinking for complex tasks. This feature keeps the model's logic consistent across multiple steps. So, if you're building a multi-step automation, make sure preserved thinking is enabled. It will reduce errors and save you debugging time. Tip three is break big tasks into smaller prompts. Don't try to do everything in one shot. If you're building a full website, start with the homepage, then move to the about page, then the contact form. This gives you more control and better results. Tip four is test locally before deploying. If you're running GLM 4. 7 on your own hardware, test your automations in a safe environment first. Make sure everything works before you connect it to live systems. Tip five is combine GLM 4. 7 with other tools. Use it alongside APIs, databases, and automation platforms like Zapia or Make. This turns GLM 4. 7 into a powerful orchestration engine that can handle end-to-end workflows. Now, let's talk about where

GLM 4. 7 really shines. It's amazing for building prototypes fast. If you have an idea for a tool or a feature, you can build a working version in hours. This lets you test your idea, get feedback, and iterate quickly. It's also great for learning. If you're new to coding, GLM 4. 7 can teach you as it builds. You'll see how it structures code, handles errors, and solves problems. You'll learn by watching, and it's perfect for scaling. Once you have a workflow that works, you can use GLM 4. 7 to replicate it across different projects. This saves you time and keeps quality consistent. So, should you use GLM 4. 7 if you're doing any kind of automation, coding, or content creation? Yes. If you want to save time and work smarter, yes. If you're curious about open-source AI and want to experiment, absolutely. The fact that it's open source means you're not locked into a single provider. You own the model. You control how it's used. And as the community grows, it'll only get better. More integrations, more features, more use cases. This is just the beginning. If you want to learn exactly how to use tools like GLM4. 7 to automate your business, join the AI profit boardroom. We'll show you the prompts, the workflows, and the strategies that actually work. Link in the description below. And if you want the full process, SOPs and 100 plus AI use cases like this one, join the AI success lab. It's our free AI community. Links in the comments and description. You'll get all the video notes from there, plus access to our community of 40,000 members who are crushing it with AI. See you inside.