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🔗 Join the AI School Community (Frameworks, Tutorials & Agentic AI) https://www.skool.com/the-ferrari-protocol-7385/about Learn how to design, orchestrate, and execute AI agents using platform-independent frameworks and real implementations. DOE Framework Walkthrough: Building an AI Agent in Google Anti-Gravity In this video, I break down the DOE Framework — Directive, Orchestration, Execution — and then move straight into a practical walkthrough. After explaining the framework conceptually, I set up a real instance inside Google Anti-Gravity to show you how the DOE model works in action. No theory-only talk — this is about implementation and execution. This approach allows you to design AI agents independent of tools, platforms, or cloud providers, while still being able to deploy them anywhere. What You’ll Learn in This Video A clear explanation of the DOE Framework How to translate directives into real agent behavior How orchestration connects logic, tools, and steps How execution works in a live environment A full Google Anti-Gravity setup walkthrough How to think about AI agents beyond Cursor, cloud code, or specific platforms Why This Matters Most people learn AI tools. Very few learn AI systems. The DOE Framework helps you: Build reusable, scalable AI agents Switch platforms without rewriting logic Understand why agents behave the way they do Move from prompting to agent architecture Whether you’re working on automation, creative projects, or experimental web environments, this framework stays the same.