Agentic AI Workflows Design Patterns, Examples, and what to watch in 2025

ABSTRACT

Agentic workflows are emerging as the backbone of how Large Language Models function in practice, moving beyond simple generation to proactive task management. This post outlines the strategic, repeatable execution modes called 'design patterns' that serve as architectural blueprints for AI agents. By integrating LLMs, tools, and multi-agent collaboration, these patterns allow for continuous learning loops, self-reflection, and robust error correction in real-world environments.