Gemini Conductor + GLM 4.7: Build and Automate ANYTHING! 🤯

Gemini Conductor just changed everything. You can now build apps with zero chaos. And GLM 4. 7 makes it stupid fast. We're talking full automation from idea to done. I'll show you exactly how to do it. 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. Okay, so here's the deal. Google just dropped something called Gemini Conductor. And it's not like other AI coding tools. This one actually remembers what you're building. It keeps track of your plans. It follows your rules and it doesn't lose context every 5 minutes like Chat GPT does. Pair that with GLM 4. 7, which is this new open-source model that's crushing it at coding. And you've got a full automation machine. Let me show you

why this matters. Right now, most people use AI like this. You open chat GPT. You type a prompt. It gives you some code. You paste it, it breaks, you go back to chat GPT, you explain the problem again, it forgets half of what you said before, you waste two hours. Sound familiar? That's because AI tools treat every conversation like a blank slate. They don't remember your project. They don't know your goals. They don't follow your standards. Gemini Conductor fixes all of

that. Here's how it works. Instead of chatting randomly, Conductor makes you create a plan first. You write down what you're building. You define your tech stack. You set your coding rules. You outline your workflow. All of this gets saved in markdown files. Those files live right next to your code. So every time you ask the AI to do something, it reads those files first. It knows exactly what you want. It follows your standards. It doesn't go rogue. And here's the best part. Your whole team can use the same context. No more explaining the project to five different people. No more lost conversations. Everything's documented. Everything's trackable. Let me give you a real example. Say you're building a new landing page for the AI profit boardroom. You want it to convert visitors into members. show you show all the automation tools we teach. You want it to highlight the community benefits. With normal AI tools, you'd have to explain all that every single time. With Conductor, you write it once in your spec file. Then you just say, "Build the landing page. " And it does because it already knows what the AI profit boardroom is. It knows what the landing page needs to do. It knows what tools and frameworks you prefer. It builds exactly what you want. No back and forth, no confusion, no wasted time. Now, let me tell you about

the commands. Conductor has three main commands. First, there's conductor setup. This creates your project context. You answer some questions about what you're building. It generates your spare comp plan files. Second, there's conduct a new track. This is for when you want to add a new feature. It makes you write a spec first. Then, it creates a step-by-step plan. Then, you approve it. Only after you approve does it start coding. Third, there's conductor implement. This is where the magic happens. It reads your plan. It writes the code. It follows every rule you set. It doesn't skip steps. It doesn't improvise. It just executes. And because everything's documented, you can stop and start whenever you want. You can switch computers. You can hand it off to a teammate. The AI picks up right where you left off. That's the power of persistent context. Now, let's talk

about GLM 4. 7. This is a brand new language model. It's open- source, which means you can run it yourself, and it's specifically built for coding and reasoning. What makes it special? Three things. First, interle thinking. The model thinks before it responds. Most AI just starts typing immediately. GLM4. 7 actually reasons through the problem first, then it gives you an answer. This means way fewer mistakes. Second, preserve thinking. Normal AI forgets its reasoning after each response. GLM 4. 7 remembers. So if you're working on something complex, it keeps building on its previous thoughts. It doesn't reset. It doesn't lose track. Third, turn level control. You can tell it how hard to think. Need a quick answer? Low thinking mode, need perfect code, high thinking mode. You control the trade-off between speed and accuracy. And the results GLM 4. 7 crushes the previous version on every benchmark, coding tests, reasoning tests, UI generation. It's better across the board. People are using it in tools like Claude Code and Root Code. It's becoming the go-to model for agent workflows. All right, so here's what I want you to do. Go check out the AI profit boardroom because we're teaching exactly how to use tools like Gemini Conductor and GLM4. 7 to automate your business. We've got full walkthroughs. We've got templates. We've got real examples of people building automation systems from scratch. No fluff, just practical stuff that actually works. You'll learn how to save hours every week by letting AI handle the heavy lifting. Links in the comments and description. Now, let me show you how to

combine these two tools. Conductor gives you structure. GLM 4. 7 gives you power. Together, they're unstoppable. Here's a workflow. Say you want to build an email automation system for the AI profit boardroom. Something that sends personalized onboarding emails to new members with tips about AI tools, links to the best tutorials, reminders about live calls. First, you use Conductor uh to plan it. You run Conductor setup. You define the project. You say, "This is an email system for our community. It needs to integrate with our email platform. It needs to track who's new. It needs to send three emails over five days. Conductor creates your spec file. Then you run conductor new track. You describe the feature in detail. It generates a plan. Step one, set up email API connection. Step two, create email templates. Step three, build the scheduling logic. Step four, test with fake data. Step five, deploy. You review the plan. You approve it. Now you run Conductor implement. And here's where GLM 4. 7 comes in. Conductor uses GLM 4. 7 as the execution engine. It reads the plan. It writes the code for step one. It moves to step two. It builds the templates. It writes the scheduling logic. It creates test scripts. All while following your coding standards. All while staying on track. And because GLM 4. 7 has that interled thinking. It catches problems before they happen. It thinks, wait, this API needs authentication. Let me add that first. It doesn't just blindly code. It reasons. And because of preserved thinking, it remembers decisions from earlier steps. So when it gets to step four, it knows what data structure it used in step one. Everything connects. No conflicts, no bugs from forgetting context. You end up with a working system in a fraction of the time. No endless debugging, no rewriting the same thing five times. Just clean working code. Now imagine doing this for everything. Want to build a new lead magnet landing page? Use Conductor to plan it. Use GLM 4. 7 to build it. Want to automate your social media post? Same process. Want to create a custom CRM dashboard? Same process. The workflow stays the same. Plan, approve, execute.

So now let's talk about getting started. Conductor is an extension for Gemini CLI. You need to install the Gemini CLI first. Then you add the Conductor extension. There's a GitHub repo with all the instructions. I'll drop the link in the description for GLM 4. 7. You've got options. You can use it through APIs like ZI or Open Router, or you can download the model from HuggingFace and run it locally. If you're serious about automation, I recommend the API route first. It's faster to set up. You can test it out. See if it fits your workflow. Then if you want more control, you can self-host later. The community is growing fast. People are sharing their workflows. They're showing what works and what doesn't. Is a great time to jump in. All right. A final thing.

Why does this matter for your business? Because time is your most valuable resource. Every hour you spend manually coding is an hour you're not spending growing your business. Every hour your team spends debugging is an hour they're not shipping features. Automation tools like Conductor and GLM 4. 7 give you leverage. They let you build faster. They let you scale without hiring a huge team. They let you test ideas quickly. And in the AI profit boardroom, we're all about leverage. We teach you how to use AI to multiply your output. Not just for coding, but for content, marketing, sales, operations, everything. So go check it out. Start experimenting with conductor in GLM 4. 7. Build something cool. And if you want the full process, SOPs, and 100 plus AI use cases like this one, join the AI success lab. 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. It's completely free. No catch, just a ton of value. Let me know in the comments what you create. I'm excited to see what you come up with. Thanks for watching. See you in the next one.