What happens when AI agents encounter tasks they cannot solve? Most agents fail because their capabilities are fixed. This talk explores a new approach using only open-source frameworks where agents can now adapt themselves by dynamically generating and integrating new tools at runtime. We will examine the architectural mechanisms that enable this, including how new functionality is validated and incorporated safely during execution. Through a live demo, attendees will see an agent encounter a novel task, build the required capability, and complete the workflow without redeployment. Attendees will additionally gain practical engineering insights into the tradeoffs and design considerations involved in building autonomous agentic systems that evolve beyond their original design.
Sandhya Subramani is a Senior Developer Advocate for Generative AI at Amazon Web Services, specializing in applied AI research and production-grade machine learning systems. She previously served as a Lead Applied AI Scientist at a stealth AI startup and as a Data Scientist at Warner Bros. Discovery, where she focused on applied AI/ML research and data-driven product development. Earlier in her career, she worked as an AI Engineer at Fidelity Investments within enterprise cybersecurity. Sandhya’s expertise spans generative AI, NLP, applied machine learning research, and translating advanced AI capabilities into real-world applications.
