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Build AI Agents by Voice, Not Workflows

Build AI Agents by Voice, Not Workflows

Episode 816 Published 5 months, 1 week ago
Description

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Ragnar Heil shares hands-on lessons from building and running autonomous agents with OpenClaw. He compares conversational, agent-first workflows with traditional automation tools, highlights real infrastructure and security trade-offs, and explains why this kind of experimentation accelerates deep understanding of agent architecture. The conversation explores where Copilot fits today, what breaks in early-stage agents, and why learning Linux, scripting, and model plumbing is becoming a core AI skill for practitioners.

👉 Full Show Notes
https://www.microsoftinnovationpodcast.com/816 

🎙️ What you’ll learn     

  • How conversational interfaces like Telegram change the way agents are built and operated 
  • Where traditional automation adds friction compared to autonomous agents 
  • Practical infrastructure choices for running experimental agents safely 
  • Real-world security and governance risks when working with agentic AI 
  • Why hands-on agent maintenance accelerates architectural understanding 

✅ Highlights   

  • “I literally talk into the microphone and then it builds it overnight without any effort for me.” 
  • “They’re not really autonomous, most of them are retrieval agents.” 
  • “Please don’t install OpenClaw on your PC or MacBook.” 
  • “It could literally delete your whole C drive without your command.” 
  • “I never learned so much around Linux scripts than in my whole life.” 
  • “I’m losing my fascination because I have to fix it every single day.” 
  • “It’s taken me further into understanding agents than I have ever been.” 
  • “We are in a very, very early stage here.” 
  • “The interface as we know it is going to go away.” 

🧰 Mentioned     

✅ Keywords      
openclaw, autonomous agents, agentic ai, copilot, copilot studio, power automate, telegram interface, linux scripting, ai security, governance, mcp servers, infrastructure 

If you want to get in touch with me, you can message me here on Linkedin.

Thanks for listening 🚀 - Mark Smith

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