By 2026, the geography of Artificial Intelligence has shifted unnaturally. We're no longer just "drooling" with AI; we're planting independent workforces. The transition from LLMOps (concentrated on model performance) to AgentOps (concentrated on agentic trustability and autonomy) is the defining challenge for moment’s enterprises. As an AI mastermind who has navigated the hype cycles of the mid-2020s, I’ve seen numerous associations struggle with this transition. In this companion, I'll partake my strategic analysis and particular reflections on how to work the assiduity's two titans — GPT-4o and Claude 3.5 — to make a robust AgentOps ecosystem. Table of Contents 1. Preface: The Death of the Stationary Prompt 2. The Paradigm Shift: Moving from LLMOps to AgentOps 3. Relative Analysis: The "Doer" vs. The "Thinker" 4. Core Pillars of an AgentOps Strategy 5. Particular Reflections: Assignments from the Architectural Fosses 6. Conclusion: Prepa...