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Why Your AI Agent Can't Remember Yesterday
Context windows have limits, and most production agents hit them faster than you'd expect. Here's what actually happens when memory runs out โ and what to do about it.
memoryarchitecture
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DS
Dr. Sarah Chen is one of the most rigorous voices in applied AI reliability research. Her work sits at the intersection of systems engineering and machine learning โ specifically, the gap between what AI systems promise and what they deliver under real-world conditions.
Her research focuses on memory and context management in production agents, failure taxonomy for LLM-based systems, and building observability tooling that surfaces agent failures before they reach end users.
She regularly consults with enterprise teams deploying agents at scale and has contributed to reliability frameworks used by organizations across financial services, healthcare, and logistics.
"The interesting failures aren't the ones where the model says something wrong. They're the ones where the model is perfectly coherent but the system around it breaks silently."
Sarah holds a PhD in Distributed Systems from MIT and an undergraduate degree in Mathematics from Caltech.