5 AI Agentic Workflow Patterns-Reflection, Tools, ReAct, Planning, Multi‑Agent

In this video, we break down the top AI agentic workflow design patterns you NEED to know to build modern AI agents. ​ You’ll learn how the Reflection, Tool Use, Reason‑and‑Act (ReAct), Planning, and Multi‑Agent patterns actually work in real systems, and when to use each one for better reliability, reasoning, and automation. ​ These patterns power advanced LLM agents that can call tools, create plans, work with other agents, and continuously improve their own outputs. ​ Timestamps: 0:00 – Intro: What are agentic workflows? 0:25 – Reflection Pattern 0:55 – Tool Use Pattern 1:30 – Reason & Act Pattern 2:05 – Planning Pattern 2:35 – Multi‑Agent Pattern 2:55 – Which pattern should you use? If you’re building AI agents, LLM apps, or orchestration for real‑world workflows, this breakdown will give you a clear mental model for designing your next system. ​ Subscribe for more deep dives into AI engineering, LLMs, and agentic workflows.