A guide to agentic AI workflows in 2025

Enterprise AppGen is an AI-powered application generation platform designed to create scalable, secure, and production-ready applications efficiently. The text discusses the current excitement around AI agents, comparing it to the past buzz in frontend web development, and emphasizes the importance of understanding the foundational components of AI agents and workflows. It distinguishes between generative AI workflows, agentic workflows, and AI agents, explaining their roles in automating and optimizing business processes. Generative AI workflows involve predefined processes using large language models (LLMs) for output generation, while agentic workflows use LLMs to inform application control flow, and AI agents manage the application's control flow and termination. Key components for building AI agents include augmented LLMs, state/memory management, tools for LLM interaction with external systems, human-in-the-loop integration, and user interfaces. The text suggests focusing on integrating tools with existing data and systems rather than adopting new frameworks, allowing for efficient and effective automation solutions tailored to specific business needs.