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
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AI was used in the creation of the transcript and metadata for this video.
#loopengineering #aiagents #agenticai #promptengineering #contextengineering
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