🎙️ The AI Podcast Studio Workshop
🌏 中文版

Your Mission
Welcome to The AI Podcast Studio! You're about to launch your own tech podcast called "Future Bytes" — but here's the twist: you'll build an AI-powered production team to help you create it. No more endless hours of research, scriptwriting, and audio editing. Instead, you'll code your way to becoming a podcast producer with AI superpowers.
欢迎来到《AI 播客工作室》!你即将创办自己的科技播客《Future Bytes》——但有个转折:你会亲手搭建一支 AI 制作团队来帮你把它做出来。再也不需要花无数小时做调研、写稿和剪音频;相反,你会用写代码的方式,成为拥有 AI 超能力的播客制作人。
The Story
Imagine this: You and your friends want to start a podcast about the coolest tech trends, but everyone's busy with school, work, or just life. What if you could build a team of AI agents to do the heavy lifting? One agent researches topics, another writes engaging scripts, and a third turns text into natural-sounding conversations. Sound like sci-fi? Let's make it real.
想象一下:你和朋友们想开一档聊最酷科技趋势的播客,但每个人都在忙学业、工作或者生活。如果你能搭一支 AI agent 团队来干重活呢?一个 agent 调研选题,另一个写出吸引人的脚本,第三个把文字变成听起来自然的对话。听起来像科幻?我们把它变成现实。
What You'll Learn
By the end of this workshop, you'll know how to:
- 🤖 Deploy your own local AI model (no API costs, no cloud dependency!)
- 🔧 Build specialized AI agents that actually work together
- 🎬 Create a complete podcast production pipeline from idea to audio
到这场工作坊结束时,你将学会:🤖 部署自己的本地 AI 模型(没有 API 费用,也不依赖云端!);🔧 构建真正能协同工作的专职 AI agent;🎬 打通从想法到音频的完整播客生产流水线。
Your Journey: Three Acts

Like any good story, we've got three acts. Each one builds your AI podcast studio piece by piece:
就像任何好故事一样,我们分三幕。每一幕都一块一块地搭起你的 AI 播客工作室:
| Episode | Your Quest | What Happens | Skills Unlocked |
|---|---|---|---|
| Act 1 | Meet Your AI Assistants | You discover how to create AI agents that can chat, search the web, and even solve problems. Think of them as your research interns who never sleep. | 🎯 Build your first agent 🛠️ Give it superpowers (tools!) 🧠 Teach it to think 🌐 Connect it to the internet |
| Act 2 | Assemble Your Production Team | Now things get interesting! You'll orchestrate multiple AI agents to work together like a real podcast team. One researches, one writes, you approve — teamwork makes the dream work. | 🎭 Coordinate multiple agents 🔄 Build approval workflows 🖥️ Test with DevUI interface ✋ Keep humans in control |
| Act 3 | Bring Your Podcast to Life | The finale! Transform your text scripts into actual podcast audio with realistic voices and natural conversations. Your "Future Bytes" podcast is ready to ship! | 🎤 Text-to-speech magic 👥 Multiple speaker voices ⏱️ Long-form audio 🚀 Full automation |
Each act unlocks new abilities. Skip ahead if you're brave, but we recommend following the story!
每一幕都会解锁新能力。胆子大的可以直接跳到后面,但我们建议顺着故事走!
Environment Requirements
This workshop supports various hardware environments:
- CPU: Suitable for testing and small-scale usage
- GPU: Recommended for production environments, significantly improves inference speed
- NPU: Supports next-generation neural processing unit acceleration
这场工作坊支持多种硬件环境:CPU——适合测试和小规模使用;GPU——推荐用于生产环境,能显著提升推理速度;NPU——支持下一代神经处理单元加速。
What You'll Need
Software Checklist ✅
- Python 3.10+ (Your coding language)
- Ollama (Runs AI models on your machine)
- VS Code (Your code editor)
- Python Extension (Makes VS Code smarter)
- Git (For grabbing code)
Hardware Check 💻
- Can I run this?: 8GB RAM, 10GB free space (works, but might be slow)
- Ideal setup: 16GB+ RAM, a decent GPU (smooth sailing!)
- Got an NPU?: Even better! Next-gen performance unlocked 🚀
Setup Your Studio 🎬
Step 1: Python Power-Up
Make sure you've got Python 3.10 or newer:
确认你装的是 Python 3.10 或更新版本:
python --version
# Should show Python 3.10.x or higherNo Python? Grab it from python.org — it's free!
没装 Python?去 python.org 下载,它是免费的!
Step 2: Get Ollama (Your AI Model Runner)
Head to ollama.ai and download Ollama for your OS. Think of it as the engine that runs your AI models locally.
访问 ollama.ai,按你的操作系统下载 Ollama。把它理解成在本地运行 AI 模型的引擎。
Check if it's ready:
检查它是否就绪:
ollama --versionStep 3: Download Your AI Brain 🧠
Time to grab the Qwen-3-8B model (it's like hiring your first AI assistant):
接下来获取 Qwen-3-8B 模型(相当于雇了你的第一位 AI 助理):
ollama pull qwen3:8bThis might take a few minutes. Perfect time for a coffee break! ☕
这可能需要几分钟。正好去喝杯咖啡!☕
Step 4: Set Up VS Code
Grab Visual Studio Code if you don't have it. It's the best code editor around (fight me 😄).
如果还没装,去拿下 Visual Studio Code。它是目前最好的代码编辑器(不服来辩 😄)。
Step 5: Python Extension
In VS Code:
- Hit
Ctrl+Shift+X(orCmd+Shift+Xon Mac) - Search "Python"
- Install the official Microsoft Python extension
在 VS Code 里:1)按 Ctrl+Shift+X(Mac 上是 Cmd+Shift+X);2)搜索「Python」;3)安装微软官方的 Python 扩展。
Step 6: You're All Set! 🎉
Seriously, you're ready to rock. Let's build some AI magic!
说真的,你已经可以开干了。让我们造点 AI 魔法!
Step 7: Install Microsoft Agent Framework and Related Packages 📦
Install all required dependencies for the workshop:
安装这场工作坊所需的全部依赖:
pip install -r ./Installations/requirements.txt -UThis will install Microsoft Agent Framework and all necessary packages. Grab a coffee — first-time setup might take a few minutes! ☕
这会安装 Microsoft Agent Framework 以及所有必需的包。去倒杯咖啡——首次安装可能要几分钟!☕
Workshop Instructions
Detailed project structure, configuration steps, and execution methods will be explained step-by-step during the workshop.
详细的项目结构、配置步骤和执行方法,会在工作坊过程中逐步讲解。
Troubleshooting (When Things Go Wrong) 🔧
"Ugh, the model download is taking forever!"
Fix: Use a VPN or configure Ollama with a mirror source. Sometimes the internet just hates us.
"My computer is dying! Out of memory!"
Fix: Switch to a smaller model or tweak the num_ctx setting to use less memory. Think of it as putting your AI on a diet.
"Can I make this faster with my GPU?"
Fix: Ollama auto-detects GPUs! Just make sure your GPU drivers are up to date. Free speed boost! 🏎️
Extra Resources (For the Curious) 📚
- Ollama Docs — Deep dive into local AI models
- Microsoft Agent Framework — Learn more about building agent teams
- Qwen Model Info — Meet your AI assistant's brain
延伸阅读:Ollama 文档——深入了解本地 AI 模型;Microsoft Agent Framework——进一步了解如何构建 agent 团队;Qwen 模型资料——认识你 AI 助理的大脑。