6 Mistakes Breaking Your Agents

A new free six-day email course, the "Agentic AI Engineering Guide," offers engineers practical insights into building reliable probabilistic systems, drawing from over three years of real-world failures. The course emphasizes critical mistakes that cause agents to perform well in demos but fail in production, such as mismanaging context windows, overcomplicating designs, and relying on fragile regex parsing, providing detailed explanations, root causes, and proven solutions for each issue. This initiative aims to bridge the knowledge gap in probabilistic system design, focusing on creating evaluation-first architectures that prevent regressions and improve system robustness. By