Ever wonder why two AI applications can use the same AI model but deliver completely different results? The answer might not be the AI model at all. In our latest TQ Tech Talk, you'll discover the AI harness -- the technology that connects AI models to tools, data, memory, permissions, and actions. It's also the key ingredient behind AI agents and agentic systems. Watch now to learn why the most interesting part of an AI system may not be the model. It may be the harness built around it. 00:00 - Why enterprise AI agents often fail 01:03 - What is an AI harness? 02:42 - AI agent architecture: model plus harness 03:44 - AI model vs AI harness: what's the difference? 04:37 - How AI apps use harnesses behind the scenes 05:28 - Anthropic AI agent experiment explained 06:33 - AI agent evaluator loop: why quality improves 07:04 - How AI agents actually work in practice 08:56 - What makes an AI agent? 09:18 - AI memory and context retrieval in a harness 10:33 - Harness engineering explained 11:14 - Enterprise AI agent implementation lessons Reinvent with Accenture. Join the most client-focused, AI-enabled great place to work for Reinventors—where our people have access to 200+ AI courses to help them grow, innovate, and lead what’s next. Learn more and apply: https://accntu.re/4AQF18i @Udacity, now part of Accenture, is a global leader in AI and technology education—offering project-based learning programs designed in partnership with leading technology companies. Resources 📌 Udacity Agentic AI Nanodegree: https://accntu.re/4yzUZSY... 📌 Watch our free course on Sidewalk cybersecurity: https://accntu.re/4rMWcnj #aiharness #harnessengineering

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