AI agents often make unnecessary LLM calls, process excessive context, and invoke expensive tools more frequently than needed. In this talk, I'll demonstrate practical techniques that can dramatically reduce operating costs while maintaining user experience and reliability.
John Robert leads data and cloud projects at Sunnic Lighthouse (Enerparc AG), where he works on building and operating data-intensive workflows in production. He has over eight years of experience with Python, machine learning, and AI, and began his career working on autonomous driving systems at Daimler (Mercedes-Benz).
John has spoken at conferences across Europe, the United States, and other regions, sharing practical insights on building, deploying, and operating AI systems in real-world environments. His current focus is on AI safety and AI security, particularly how agentic and autonomous systems can be designed with clear boundaries and controls.
He is the founder of Don’t Fear AI, an initiative aimed at helping people understand how to use AI responsibly and how to build reliable AI systems without hype or unnecessary complexity. John believes in a future where humans and AI systems work together safely and effectively.
