Context Engineering for AI Agents

Hugo Bowne-Anderson is an independent data and AI consultant with extensive experience in the tech industry. He is the host of the industry Vanishing Gradients, where he explores cutting-edge developments in data science and artificial intelligence. As a data scientist, educator, evangelist, content marketer, and strategist, Hugo has worked with leading companies in the field. His past roles include Head of Developer Relations at Outerbounds, a company committed to building infrastructure for machine learning applications, and positions at Coiled and DataCamp, where he focused on scaling data science and online education respectively. Hugo's teaching experience spans from institutions like Yale University and Cold Spring Harbor Laboratory to conferences such as SciPy, PyCon, and ODSC. He h

John Berryman is the founder of Arcturus Labs, where he helps teams build AI applications. He was an early engineer on GitHub Copilot, contributing to both its code completions and chat features, and is the coauthor of Prompt Engineering for LLMs (O’Reilly).

Before Copilot, John worked in search – helping build systems for the US Patent Office, Eventbrite, and GitHub. He also coauthored Relevant Search (Manning), a guide to modern search technology.

With experience spanning foundational search and cutting-edge LLM tools, John brings a deep, practical understanding of how to design smart, useful AI systems.