Claude Sonnet 4.6 + Qwen 3.5: Build & Automate ANYTHING! 🤯
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Claude Sonnet 4.6 + Qwen 3.5: Build & Automate ANYTHING! 🤯

Julian Goldie SEO 19.02.2026 589 просмотров 46 лайков
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Оглавление (8 сегментов)

  1. 0:00 Intro: The Craziest AI Workflow 236 сл.
  2. 1:11 Step 1: Claude the Architect 174 сл.
  3. 2:01 Step 2: Qwen the Builder 159 сл.
  4. 2:49 Step 3: Claude's Expert Review 237 сл.
  5. 4:07 Step 4: Qwen Refactoring 108 сл.
  6. 4:37 Step 5: Running the Automation 97 сл.
  7. 5:04 Why Role Separation Wins 367 сл.
  8. 6:46 Scale Your AI Business 255 сл.
0:00

Intro: The Craziest AI Workflow

Claude Sonet 4. 6 plus Quen 3. 5. Build and automate anything. Today I'm going to show you how I connected two AIs together. Claude Sonet 4. 6 and Quen 3. 5. And they built an entire automation system for me. No joke. One plans, one builds. And I basically just sat there and watched. This is the craziest AI workflow I've ever tested. So here's what just happened. I took Claude Son 4. 6 and I gave it one job. Plan. That's it. Just think. Just design. just be the brain. And then I took Quen 35 and I gave it one job too. Build, take the plan, write the code, ship it. And when you put these two together, something wild happens. They start acting like a real dev team. One is the architect, one is the builder, and they go back and forth fixing each other's work until the whole thing actually runs on its own. Now, let me walk you through exactly how this works step by step. Because once you see this, you're going to want to try it today. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of 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, step one, you
1:11

Step 1: Claude the Architect

open up Claude Sonet 4. 6 and you give it this prompt. You say, "You are the system architect. I want to build a simple but impressive automationbased app. " Define the app idea. Break it into components. Identify what should be automated. Explain the logic step by step and output a clear build plan I can hand to another AI. That last part is key. You're telling Claude, "Hey, someone else is going to read this. Make it clear. Make it clean. Make it something another AI can actually follow. " And here's what blew my mind. Claude didn't just give me a list. It thought like a senior engineer. It broke the whole thing down into modules. It mapped out the automation logic. It even flagged what should run on a schedule versus what should be triggered by an event. This is not your normal chatbot response. This is real system thinking. And that's what makes Claude Sonite 4. 6 different. It doesn't just answer your question. It architects a solution. Now
2:01

Step 2: Qwen the Builder

step two, you take that entire plan, every single word Claude gave you, and you paste it into Quen 35 and you give Quen this prompt. You say, "You are the builder AI using the following plan. Build the system step by step. Write clean working code. Assume I will run this locally. Explain only when necessary. Focus on building fast. And this is where Quen goes crazy. It doesn't overthink. It doesn't give you 10 paragraphs of explanation. It just starts writing code. File after file, function after function. It takes Claude's blueprint and turns it into something real, something you can actually run on your computer. Now, here's where it gets really interesting because we're not done yet. Most people would stop here. They take the code and try to run it. But that's where things usually break. So, instead, we do something smarter. We send the code back to Claude. Step three, you go back to
2:49

Step 3: Claude's Expert Review

Claude Sonet A4. 6 and you paste in everything Quen just built and you say, "Review this implementation, identify logical flaws, suggest improvements, optimize the automation flow, highlight any security or scalability issues, keep it practical. " And Claude comes back with real feedback, not fluff, and not generic stuff like, "Oh, this looks good. " No, it finds actual problems. It says things like, "This function doesn't handle edge cases. This automation could fail if the API times out. This part needs error handling. It thinks like a code reviewer on a real team. And it gives you a clear list of exactly what to fix. This is literally how real dev teams work. One person builds, another person reviews. They go back and forth until the thing is solid. Except now both people are AIs. And they work in minutes, not days. Now, before I keep going, if you want to use workflows like this to actually scale your business, save hundreds of hours, and automate things with AI tools like Claude and Quen, check out my AI profit boardroom. Link is in the description. It's the best place to learn how to build and automate real systems with AI. We've got step-by-step processes, templates, and a community of people who are actually doing this stuff every single day. So, if this video is clicking for you, that's where you want to be. All right
4:07

Step 4: Qwen Refactoring

step four. You take Claude's feedback and you send it right back to Quen and you say, "Apply the suggested improvements, refactor the code, make the automation more reliable, return the updated version. " And Quen does exactly that. It takes the notes, it cleans up the code, it tightens the automation, and it sends back a better version, a version that's been planned by one AI and reviewed by another. Think about that for a second. You now have code that's been through two rounds of AI quality control. That's better than what most solo developers ship. And here's the part that really gets me. Step five
4:37

Step 5: Running the Automation

you run it. You open your terminal, you hit enter, and the system just works. The automation fires. Reports get generated, tasks get executed, emails get sent. Whatever you built, it's running, and you're not doing anything. The system is running itself. That moment right there is the whole point. That's the moment where it clicks. You didn't just ask an AI a question. You didn't just get a chatbot to write you a paragraph. You use two AIs as a team, and they built something real that runs without you. Now, let me tell you why
5:04

Why Role Separation Wins

this matters beyond just being cool. So, because I know a lot of people watch AI videos and think, "Okay, that's neat. " But what do I actually do with it? Here's the answer. This workflow works for almost anything. You want to automate your lead follow-up? Use this. You want to build a tool that scrapes data and sends you a daily report. All right, use this. You want to create a system that organizes your files, your emails, your tasks, use this. The pattern is always the same. Claude plans, Quen builds, Claude reviews, Quen fixes. You run it. And the beautiful thing is you don't need to be a developer. know how to code. The AIS handle that part. You just need to know what you want to build. And Claude will help you figure that out, too. That's the whole point of giving it the architect role. It takes your messy idea and turns it into a clear plan. Now, I want to be clear about something. I'm not saying this replaces a full engineering team. If you're building something massive and complex, you still need humans in the loop. But for automations, for internal tools, for things that save you time every single day, this workflow is insane. It's fast, it's free, and it actually works. The key thing to remember is the role separation. That's what makes this different from just using one AI. When you give one AI two jobs, plan and build, it gets confused. It tries to do both at once, and neither one is great. But when you split the roles, each AI does what it's best at. Claude is best at thinking. Quen is best at building. Together, they cover each other's weaknesses, and that's when the magic happens. So, let me recap real quick. Step one, give Claude the architect role and ask it to plan your automation. Step two, paste that plan into Quen and tell it to build. Step three, send the code back to Claude for review. Step four, send the fixes to Quinn to apply. Step five, run it and watch it work. Five steps, two AIs, one automation that runs
6:46

Scale Your AI Business

itself. Now, if you want to take this even further and you want access to the full process, the SOPs, the prompts, and over a 100 AI use cases just like this one, join the AI profit boardroom. Link is in the description and the comments. You'll get all the resources, all the workflows, and you'll be inside a community of people who are using AI to actually scale their businesses and save hundreds of hours with automation. We're talking real automation setups like the Claude Plusqu workflow I just showed you, step-by-step breakdowns, templates you can copy and paste, and a community that's actually building stuff, not just talking about it. This is where you go from watching AI videos to actually using AI every single day to get real results. If this video clicked for you, the boardroom is where you go next. And if you want a free place to start, join the AI success lab, links in the comments and description. and you'll get all the video notes from this video and every other video I make. Plus, you get access to our community of 38,000 members who are crushing it with AI right now. People in there are sharing their workflows, their results, their automations. It's free, it's active, and it's the easiest way to start actually using everything you just learned today. So, go join, say hello, and start building. All right, thanks for watching. Hit the like and subscribe button and I will see you in the next

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