Description

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This episode with Joris de Gruyter explores how advanced AI agents are reshaping individual productivity and technical work. The conversation covers coding agents, personal agent systems, automation beyond code, and the risks of burnout, privacy, and memory misuse. Real-world examples show how AI can turn notes into workflows, handle testing and reporting, and operate as a team of specialised agents. The key message is clear: applied AI skills now combine technical fluency with strong boundaries around focus, context, and trust.

👉️ Full Show Notes
https://www.microsoftinnovationpodcast.com/821

🎙️ What you’ll learn  

• How coding agents are expanding into everyday knowledge work 
• Practical ways to turn notes into repeatable automation 
• When to use multiple AI agents and when to limit them 
• How memory features can introduce risk and bias 
• Why APIs matter for an AI-driven future of work 

✅ Highlights 

• “I realised that I had incredible power to create anything my mind can conceive digitally.” 
• “Tokens have become my money.” 
• “The productivity gains is causing this tremendous burnout for some reason.” 
• “I’ve put the guardrails in place so they’re not allowed to talk to me after 9pm.” 
• “It started with notes, and it’s turning into automation.” 
• “The internet is a very hostile place to AI.” 
• “Memory is the first thing I turn off everywhere.” 
• “I don’t want anybody else’s code in my mix.” 
• “It allows you to become almost like superhuman in a weird way.” 

🧰 Mentioned 

• AI Brain Fry: https://hbr.org/2026/03/when-using-ai-leads-to-brain-fry 
• GitHub Copilot: https://github.com/features/copilot 
• Work IQ: https://learn.microsoft.com/microsoft-365/copilot/extensibility/workiq-overview 
• Claude:https://claude.ai/ 

✅Keywords 
ai agents, github copilot, coding agents, automation, productivity, ai burnout, ai memory, privacy, workflows, devops, markdown, applied ai 

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Thanks for listening 🚀 - Mark Smith