Mark Cavage What Does It Look Like To Manage A Team Of AI Agents

Data Science Dojo ยท Intermediate ยท๐Ÿค– AI Agents & Automation ยท51m ago
๐ŸŽ™๏ธ Future of Data and AI Podcast: Highlight with Mark Cavage (COO, Docker) What happens when your PM agent and your engineering agent disagree? Mark didn't just theorize about it. He watched it happen. He runs a personal agent stack of 23. The PM agent wants to ship more. The engineering agent wants to cut scope. They argue, reach a decision, and report back. No meeting invite. No Slack thread. Just two agents working it out. His take: everyone needs to become a little bit of a product manager and a little bit of a people manager. Because the team working for you isn't human anymore โ€” it's a bunch of robots. The question isn't whether agents can do the work. It's whether you know how to manage them when they do. Mark breaks this down with host Raja Iqbal on the Future of Data and AI podcast. ๐ŸŽง Watch the full episode: https://youtu.be/eiKm99VIcSs?si=I9ZtyRKVfgxYP01R ๐Ÿ”— View all podcasts: https://datasciencedojo.com/podcast/ #AgenticAI #Docker #FutureOfWork #AIAgents #FutureofDataAndAI
Watch on YouTube โ†— (saves to browser)
Sign in to unlock AI tutor explanation ยท โšก30

Related AI Lessons

โšก
Should Websites Allow AI Search Crawlers?
Learn when to allow AI search crawlers on your website and how to protect your site from unwanted crawling
Dev.to ยท AIvsRank
โšก
Beyond the Prompt: How to Build Stateful AI Agents with Persistent Memory and Self-Learning Loops
Learn to build stateful AI agents with persistent memory and self-learning loops to create more effective and autonomous AI systems
Dev.to ยท Programming Central
โšก
What I Do Between Biotech Jobs, Part 1: The 20-Line Script That Outsmarted an AI
Learn how to outsmart an AI using a 20-line Python script, applicable to biotech and other industries, to automate tasks and improve productivity
Medium ยท Python
โšก
The AI Industry Is Quietly Shifting From Models to Infrastructure
The AI industry is shifting focus from model development to infrastructure, highlighting the need for scalable and efficient systems to support AI growth
Medium ยท Machine Learning
Up next
Building distributed multi-agent systems
Google Cloud Tech
Watch โ†’