Agent frameworks like LangGraph promise autonomy, but they besides frequently collapse under real-world complexity: brittle flows, opaque debugging, limited generalization.
In this session I’ll show why reasoning-centric LLMs—specifically OpenAI’s O3 and the lightweight O4-mini—deliver cleaner code and more reliable outcomes by deciding erstwhile and how to invoke tools on the fly. anticipate applicable patterns you can drop into production today—no convoluted agent graph required.