How are agentic AI workflows transforming the development of AI applications and what key trends are driving this transformation?

Agentic AI workflows are revolutionizing application development by introducing a new orchestration layer that makes building AI applications easier and more efficient than ever before. This layer, supported by tools like LangChain and LandGraph, enables developers to create sophisticated applications that can process extensive image and video data, unlocking previously inaccessible value from visual content. Four key trends are accelerating this transformation: faster token generation through semiconductor and software improvements, large language models being tuned specifically for tool use rather than just answering human queries, rising importance of data engineering for unstructured data management, and the emerging image processing revolution following the established text processing revolution. While text processing capabilities are already mature, the image processing revolution is just beginning, promising to dramatically expand the types of applications developers can build and help businesses extract significantly more value from their visual data assets.