AI Agents vs AI Workflows (Part - 1/2)

Description

What happens when the next step depends on what you just discovered? In a workflow, every step is mapped before you begin. But some problems — a double charge, a missing flight, a failing test — don't let you do that. The right move only reveals itself once you're already inside the problem. That's the gap AI Agents are built to fill. Both workflows and agents are agentic systems that combine LLMs with tools — but only agents can decide what to do next on the fly. This is Part 1 of our AI Agents vs AI Workflows breakdown. 🔗 Watch the full video: https://www.youtube.com/watch?v=MZhjki7t6p8 #AIAgents #AIWorkflow #AgenticAI #LLMAgents #AIAutomation #ArtificialIntelligence #GenerativeAI #AIExplained #MachineLearning #AgenticSystems #AITools #DevOps #CloudAI #TechShorts #AIForDevelopers