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Many companies invest heavily in AI tools but often see little return due to a lack of context engineering. This video explains why RevOps teams must integrate more context into their AI implementations to ensure they are truly effective for business operations. Discover how proper context engineering can lead to meaningful ai business transformation and make your ai tools for business deliver actual value. Download the free RevOps Playbook: https://sixtysixten.com/download-ebook/ Ready to fix your GTM infrastructure? Schedule a free consultation: https://sixtysixten.com/schedule-cons... Timestamps 00:00 - AI Implementation Pitfalls 00:27 - The Library Card Analogy 01:41 - Context Engineering vs. Prompt Engineering 02:33 - Engineering Context Examples 06:08 - AI Output Comparison 07:47 - Why Context Matters 10:12 - Conclusion and Key Takeaways If you're new to my channel, my name is Marawan Aziz. I'm the Founder & CEO of SixtySixTen, a RevOps and GTM consultancy that helps B2B teams design, build, and scale their revenue operations. How I got here… I'm an engineer by trade. Spent years building back-office systems and process infrastructure across multiple industries. About five years ago, I pivoted fully into RevOps and go-to-market, where I saw companies bleeding money from broken systems, disconnected tools, and processes held together by duct tape and hope. Since then, my team and I have: Helped 3 companies successfully exit through our strategies and implementations Generated over $5M in revenue for our clients Saved teams thousands of hours through automation and process optimization I started this channel because most RevOps content is either too surface-level or too vendor-specific. Here, I break down practical GTM plays from a technical perspective. The actual systems, workflows, and strategies that move the needle for B2B revenue teams. No fluff. No theory without execution. Just the plays that work. Connect with me: LinkedIn: / marawanaziz Twitter/X: https://x.com/RealMarsAziz