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9 Commandments for Building AI Agents
Building AI agents that actually get things done is harder than it looks. Demetrios, Paul, and Dmitri break down what makes agents effective—from smart planning and memory to treating tools, systems, and even people as components. They cover the "react" loop, budgeting for long tasks, sandboxing, and learning from experience. It’s a sharp, practical look at what it really takes to design useful, adaptive AI agents.
Guest speakers:
Paul van der Boor - VP AI at Prosus Group
Dmitri Jarnikov - Senior Director of Data Science at Prosus Group
Host:
Demetrios Brinkmann - Founder of MLOps Community
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Published on 1 month ago