What Is Loop Engineering? Building Better AI Agents
Learn more about Loop Engineering here → https://ibm.biz/~LqlzZo42O AI agents need more than one perfectly written prompt. Martin Keen explains loop engineering and how AI agents act, observe, adjust, and repeat toward measurable goals. Learn how context, tools, subagents, and human oversight make agentic loops work. 00:00 – Understand Loop Engineering vs Prompt Engineering 01:18 – Build an AI Agent Loop Around a Goal 02:30 – Define Goals AI Agents Can Actually Verify 03:29 – Engineer Triggers, Schedules & Hooks 04:18 – Manage Agent Context, Skills & Persistent State 05:37 – Give AI Agents Tools with MCP & APIs 06:10 – Use Subagents to Check AI Agent Work 07:11 – Keep Humans Inside Agentic Loops 07:49 – Avoid Comprehension & Intent Debt 10:05 – Define the Human Role in Loop Engineering AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/~FCnbZpRqy AI was used in the creation of the transcript and metadata for this video. #loopengineering #aiagents #agenticai #promptengineering #contextengineering --------------------------------------------------------------------------------------------------------- Find us on YouTube: 🔵 IBM Technology: https://www.youtube.com/@IBMTechnology 🔵 IBM: https://www.youtube.com/@IBM 🔵 IBM Developer: https://youtube.com/@IBMDeveloperAdvocates
