GLM 4.7: From Beginner to Expert in 12 Minutes!
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GLM 4.7: From Beginner to Expert in 12 Minutes!

Julian Goldie SEO 30.12.2025 2 511 просмотров 41 лайков обн. 18.02.2026
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Want to make money and save time with AI? Get AI Coaching, Support & Courses 👉 https://juliangoldieai.com/07L1kg Get a FREE AI Course + 1000 NEW AI Agents 👉 https://juliangoldieai.com/5iUeBR Master GLM 4.7: From Beginner to Expert - Create Stunning Apps & Websites Learn how to leverage GLM 4.7 from Z AI, a cutting-edge open-source AI, to create incredible dashboards, automate tasks, and build applications like quizzes, 3D games, expense trackers, and websites. In this comprehensive tutorial, discover the capabilities of GLM 4.7, including its 200K token context window, beautiful UI building, and effective code generation. Follow a 30-day plan, explore over 100 prompts, and understand how to integrate this powerful AI tool into your workflow. Join the AI Success Lab for additional resources and community support. 00:00 Introduction to GLM 4.7 00:21 Features and Capabilities of GLM 4.7 00:57 Getting Started with GLM 4.7 02:34 Live Demonstration and Examples 04:31 Building Custom Applications 08:16 Community and Resources 09:38 Conclusion and Final Thoughts

Оглавление (7 сегментов)

  1. 0:00 Introduction to GLM 4.7 62 сл.
  2. 0:21 Features and Capabilities of GLM 4.7 146 сл.
  3. 0:57 Getting Started with GLM 4.7 378 сл.
  4. 2:34 Live Demonstration and Examples 463 сл.
  5. 4:31 Building Custom Applications 938 сл.
  6. 8:16 Community and Resources 335 сл.
  7. 9:38 Conclusion and Final Thoughts 523 сл.
0:00

Introduction to GLM 4.7

GLM 4. 7 from beginner to expert. So today I'm going to show you exactly how to use GLM 4. 7 to create amazing dashboards like you see right here. Also, for example, automated quizzes. We've created to-do list apps. We've generated whack-a-ole games just for fun. We've created 3D neon racer games just for fun as well. Right, this is a
0:21

Features and Capabilities of GLM 4.7

brand new free open source AI that just dropped and it beats Claude in some tests. It builds stunning websites in one click. It writes code that actually works. And today we're testing it live to see if the hype is real. I'm also going to show you exactly how to use it step by step. All right. Now, this is brand new. And here's what makes it wild. Okay, so it number one, it has a 200k token context window. It's open source. It thinks before it acts. It builds beautiful UIs and it works inside coding tools you already use. So by the end of this video, you're going to learn how to use GLM 4. 7 for free now. What it's actually good at and what it's not, how to build a automations with it, and whether it's worth adding to your stack.
0:57

Getting Started with GLM 4.7

All right, so let's get straight into this. I actually built out a custom framework to help you learn this stuff. What we're showing you today is the GLM leverage stack. And if you have any questions as we go along today, feel free to ask. Bobby says, "Truly worth every minute of my time today learning more about Notebook LM. Appreciate you. " And so with GLM 4. 7, what is this? I'm going to give you a 30-day framework for really mastering GLM 4. 7. All right. So GLM, it stands for general language model. Basically, the way this works is that it is a free chat that you can use kind of like a super agent and it seems to be completely free. I haven't seen any limits on this. And the other crazy thing about this is you can actually run it locally. If you type in, for example, GLM 4. 7 over here, GLM 4. 7, you can see you can run it from the cloud if you download Alarma for free, right? It does have usage limits for cloud models, but you can run it locally for free using the usage limits with which is absolutely amazing. And on top of that, you can also use it kind of like a super agent inside the chat here and it just goes off and builds stuff for you. But the amazing thing about this is when you're building out, for example, games and all this sort of stuff with it works kind of like paid tools. For example, there are paid tools out there like Manis, like GenSpark, and you can use it and build stuff that you want for free using the chat inside here. And it is worked like pretty much every single time I've used it. All right, which is absolutely amazing. And so this is really built for one thing. All right, getting work done, not chatting, not demos, real work. The you might think, why should you care? It's scored really high on all the benchmarks. And what this means in simple terms is like it's really good at writing code that works, building websites that look nice, following complex instructions, and thinking through hard problems. Now, if
2:34

Live Demonstration and Examples

we were to take some of the prompts I'll actually give you for free today, I want to take an example right here. I'm going to say inside the chat here, new chat. We're going to go to this. And by the way, if you want to navigate to this, it's chatz. ai. I actually included all the links inside the AI success lab as you can see. So, you got all the resources at the top here. And then also, you've got my custom framework and a 30-day plan for implementing this with prompts for each day. And on top of that, we've also given you over 100 prompts and we've broken all the beliefs that may be holding you back from using this stuff. So, if we go back to the chat here, we're going to say create a simple expense tracker. Quick add this stuff. Include a running total category the breakdown with a pie chart. filter by category, date range selector, blah blah. So these are actually quite complex prompts that we're plugging in, right? And it's just going to go off and build those. So it's going to build those off in the background whilst I'm talking to you. Now Scooter Boy says, I remember Julian mentioned about some URL. Can the URL be shared, please? Is that for the AI success lab or do you mean for using GLM? If you want to use GLM, all the URLs at the top here and just go to the AI success lab link in the comments description if you want to get access to that. It's completely free and it connects you with 40,000 people interested in AI automation. And if you go to this section, you can find all the video notes from today. All right. So, whilst it's working in the background, it's working its magic as you can see right here. Let me talk you through kind of like the types of thinking that this does, right? So, it does interle thinking, which basically means it thinks before every response. So, you know, it can basically do preserved thinking as well. So, it remembers what it was thinking about across multiple messages. So, you don't have to think, okay, what were we doing again? And on top of that, it uses turnle thinking. So, you can turn on thinking on or off per message. If you want a simple question, you can do thinking off, fast answer, and then hard question, thinking on better answer. This is available at chat. z. ai for anyone who's asking chat. zai. And then from here, we're going to keep going through. So, let's talk about the GLM leverage stack. So, basically, for example, let's test this out. So, we're
4:31

Building Custom Applications

going to say create a cyberpunk style animated dashboard with glowing neon, pink, and sand accents in the background. And then we're going to go off and just build this animation. Right. So, let's test this out. This is the prompt. We're going to open up a new chat here. So, we're going to go to another tab, type this in, and then we can plug in that prompt right here. Now, you can use, for example, like searches here. So, you can actually connect it to the web, and you can upload images as well if you need to. Right. And whilst waiting for that to run in the background, so we've got two different projects being built out, the expense tracker and also the animated dashboard. If we go through what we've built before, you can see how easy this is to build applications, right? You literally just give it one single prompt and it pretty much works perfectly first time around. So, for example, we said do this. It does it and here we go. Right? We said, okay, do the nutrition and macro calculator and it just created it. Right? We said create an AI automation lead magnet. So, magnet quiz that collects emails, upsells the air profit boardroom, right? And if we actually go to this section here, we can say okay, I'm a business owner. This is where you can test it to all by the way. You can do this blah blah. Put in your details. Hit enter. get my results and boom, look at that. It captures the email, it gives them the answers and then it upsells the AI profit boarding and also if we click on share here, we can actually share projects to other people. All right, so if we copy this link so and we open it up in a new tab, look at this, my friend. We have the app full screen ready to go. And how easy was that to do right now? Also, what you can do here is I'm wondering if actually, do you know what? Before we do that, I want to see if this is indexing on Google. So if we type in chat/space, we can see here what people are building with this stuff, right? Which is quite interesting. People are building loads of different languages as well, which is super interesting as well. And then you can see what people are building now, right? Pretty amazing. So, let's take a look what people are building. So, this is like a full website that someone's created. Looks super neat, super clean, looks nice, etc. And it's got some nice designs. Let's see if these tabs work. Yeah, they do. That's awesome, right? It looks pretty nice. Someone just automated a full website. Let's have a look at this one. It's interesting, too. And then also this one as well, right? So, someone's created like an interesting slide deck, as you can see. So, you can automate presentations, too. Amazing. And all you need to do is just tell it what you want, right? As you can see right here, it's just building out two different projects at the same time. It's generating the HTML. We can share that project on a subdomain once it's ready. And boom, we're good to go. You could also, for example, just create whatever you want. Let's try this one. And we'll plug that in as well. Start plugging that in. And then you can see these are all coded out, right? This one is actually ready to go. So this is the animated dashboard that we asked for and it's coded out perfectly first time around, which is super nice, right? As you can see, this one is probably Oh, there we go. We got the expense tracker ready to go here. So let's just test this out. add expense there. Boom. That worked perfectly, right? It's actually given us the category breakdown, the monthly comparison, the history, and we can plug in more expenses right there. And again, like we can just share that. So, if we copy that link, open it up in a new tab. Boom. Check. We've got the expense tracker ready to go, right? So, you can see how you can build out custom apps really simply using this one. Worked perfectly the first time around app. Like, it's crazy. Why is this free? It doesn't make any sense. But yeah, you can see how you can build pretty much anything you want. Is available in hugging faces. As you can see, you can actually use the inference model here. So you can actually test out and start chatting with it inside this section, but I'd recommend that you go directly to chat. ai instead. I think that would be better. And then you can also use it on open router. So it's available on open router. This is if you want to use API as paid of course, but it's significantly cheaper than most other models. So that's basically how it works. That's you now know how to build websites, apps, tools. You know how to automate slideshares, how to prompt it, why it's different, a 30-day plan for using this stuff. You've got over 100 prompts that you could test. And for example, we've categorized this by like productivity boosters. These are all prompts you could just plug in to build stuff that you like. You could create creative tools. You could, for example, generate business tools. This is all inside the video notes from today.
8:16

Community and Resources

Right? And before we go, I just want to talk about some stuff that people may be struggling with. Some people say, "I need to be a coder to use AI coding tools. " Think about ordering food. Like you don't need to know how to cook pai. You just say pai, medium, spicy, extra light. The chef does the rest. That's basically how it works. And GLM 4. 7 is your chef. You describe what you want, it builds it, right? So the old way was like learning to code for two years and then building. The new way is you describe it in plain English and then you get the output back like you can see over here. Other people would say open source means worse quality. But the truth is like the old model was right. Companies keep the best stuff private. Open source gets the leftovers. That was like 2020, but this is now right. GLM 4. 7 scores 84. 9% on live codebench. That actually beats many other models. And open source is really competitive and sometimes better. Right? This is a Chinese company and some people say Chinese tools, should I use them? Blah blah. That's up to you. That's how you feel. But I will say this is stored in a you can use it on the website directly. And then it's actually in like a VPS so you don't need to worry about it. What else we got here? What's in your coffee, bro? I need a few containers that bro, thank you. And then Scooter Boy says the prompt. You can get it inside the AI success lab. go to the classroom and then link in the comments description or just type in AI success lab on Google and you'll find it. It's a school community and then you can get access to everything here. You're watching the video on YouTube, Scooter Boy, so you can just get it from the description. And yeah, that's basically
9:38

Conclusion and Final Thoughts

it. So, you now know how to use GLM 4. 7, like the top 1%, the custom framework that I've shown you for the GLM leverage stack. I've given you a 30-day plan. I've shown you why it's different, and I've given you over 100 prompts to use this stuff. Plus, I've shown you some stuff that you can actually build directly, like you can see right here. So, it's amazing and you can get this. All right. And Wildbox says, "I'm loving all this amazing content, but I've got to where you post your summary of this live. " Yeah. So, you just go to the AR success lab classroom and you can find it in there if you want the full summary or 30-day plan, you want to go through it as well. So, yeah. Thanks so much for watching. If you haven't already, check out the AR profit boardroom. This is an amazing community. You can connect with me personally and the whole community. All right. And inside here, we have a daily accountability group. You can see for example all these questions that are going on inside the profit board. I actually personally answer this stuff. For example, here Karen was asking what your favorite LMS. I got back to it straight away. You can see for example all these people are posting what they're learning, what they're building, etc. See, for example, Joe is building some awesome stuff. You've got Vladimir building out some amazing books on Amazon and his own tools as well and sharing them. So, it's just a cool community of people and there's lots going on there. Lots of cool people to connect with as well. Inside the classroom, you get access to all my best trainings on the stuff that I actually use for my business to create content to reach a lot of people etc. And then also inside the calendar here, you can jump on weekly coaching calls. We have four coaching calls per week where you can jump on, ask any questions, etc. And also, if you've never used AI before or you're a beginner, you can actually go from complete beginner to building your first AI agent in 5 minutes and then actually learning from complete beginner to become an expert in just 5 weeks. And that's all inside the AI profit boardroom. Feel free to get that link in the comments description. Is there an AI agent system instructions GitHub repo or site? Yeah, so if you go to the notes from today, you can actually see the hugging face open source model and then you can just get access right there. And I think if you just go on Google, let me have a look at GLM 4. 7. I don't know if it's on Oh, there GLM 4. 5 is on there. Yeah, I can't see 4. 7 on GitHub yet, but you can get it on Hugging Face. So there you go. And also you can get it on Alarm is probably the easiest way to use this. Just download Alarm. So I watch it.

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