Every LLM demo looks magical. Then reality hits: hallucinations, edge cases, user trust erosion. This talk presents case studies on what it actually takes to bring AI Agents to production – and how organizations can build reliable agentic workflows without an OpenAI-scale budget.
We'll cover practical verification patterns, failure modes that only surface at scale, and the architectural decisions that separate impressive prototypes from systems users actually trust.
Andriy Batutin is a Senior AI Engineer at MacPaw, where he builds production AI agent systems with 200+ tool integrations serving millions of users. With over 10 years in IT and 6 years dedicated to AI/ML, he specializes in the hard problem of making agentic workflows reliable - bridging the gap between demos that impress and systems that actually work.
