#aioperatingmodel #aigovernance #enterpriseai #operatingmodels #agenticai | Atika Kumar
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AI ownership is becoming one of the most important questions of this decade. Most systems today are built behind closed doors, trained by millions of people, and ultimately owned by a very small group at the top. That structure shapes who benefits, who decides, and who gets left out. Action Model explores a different approach, one where contribution isn't invisible, participation is collective, and intelligence is built in the open. Not as a product to consume, but as an ecosystem people can hel
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The real challenge in AI today isn’t just building an agent—it’s scaling it reliably in production. An AI agent that works in a demo often breaks when handling large, real-world workloads. Why? Because scaling requires a layered architecture with multiple interdependent components. Here’s a breakdown of the 8 essential building blocks for scalable AI agents: 𝟭. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 Frameworks like LangGraph (scalable task graphs), CrewAI (role-based agents), and Autogen (multi-ag
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