IBM Technology: 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