In this video
What you'll learn
Avoid the architecture mistakes that derail agents
Catch the harness mistakes that add needless complexity
Avoid the eval mistake that hides agent failures
Why this topic matters
You'll learn from
Hugo Bowne-Anderson
AI & data engineer, consultant, educator of 6+ million students (ex-Yale)
Hugo Bowne-Anderson is an independent data & AI consultant with extensive experience in the tech industry. He has advised and taught teams building AI-powered systems, including engineers from Netflix, Meta, and Amazon. He is the host of Vanishing Gradients, where he explores developments in data science and artificial intelligence, and has written for publications including Harvard Business Review and VentureBeat. Previously, Hugo served as Head of Developer Relations at Outerbounds and held roles at Coiled and DataCamp, where his work in data science education reached over 6 million learners. He has taught at Yale University, Cold Spring Harbor Laboratory, and conferences including SciPy and PyCon, and is a passionate advocate for democratizing AI skills and open-source tools.
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