The article discusses the "Bitter Lesson" in AI research, emphasizing that leveraging computation is key to success, often at the expense of imposed structures. It highlights the importance of re-evaluating and adapting application structures as models improve, illustrated through the author's experiences in AI engineering and workflow development. The piece concludes with practical lessons for building AI applications effectively.