Context Engineering Pitfalls for Our E-commerce Agent

Explore the development journey of Ailo, iFood's conversational AI agent, in this 28-minute conference talk that reveals practical challenges and victories in navigating from concept to production. Learn how robust MLOps practices and the integration of a proprietary Large Commerce Model (LCM) enable complex intent interpretation and personalized user experiences in e-commerce. Discover context engineering pitfalls encountered during the development of this production-ready AI agent, with insights from experienced data science professionals who share real-world lessons learned from building conversational AI systems at scale. Gain understanding of how to overcome common obstacles in deploying AI agents for commercial applications, including best practices for maintaining high engineering standards while achieving development velocity in the rapidly evolving generative AI landscape.