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Author: Sharon Campbell-Crow

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  • Sharon Campbell-Crow

    January 7, 2026
    LLMOps

    LLMOps: From Prototype to Production

    The chatbot prototype works beautifully. You’ve spent an afternoon crafting simulated customer prompts in a notebook, testing them against GPT-5-mini’s…

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    LLMOps: From Prototype to Production
  • Sharon Campbell-Crow

    January 6, 2026
    LLMOps

    Prompt Engineering for Agentic AI Systems: An Introduction

    Effective prompt engineering for agentic AI systems is about building structured reasoning patterns. Natural language is the medium, and the…

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    Prompt Engineering for Agentic AI Systems: An Introduction
  • Sharon Campbell-Crow

    January 5, 2026
    LLMOps

    Multi-Agent Systems: The Architecture Shift from Monolithic LLMs to Collaborative Intelligence

    The era of the “God Prompt” is ending. For two years, developers have pushed single-agent architectures to their absolute limits.…

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    Multi-Agent Systems: The Architecture Shift from Monolithic LLMs to Collaborative Intelligence
  • Sharon Campbell-Crow

    December 5, 2025
    LLMOps

    Agent Orchestration Explained

    The moment an LLM can decide which tool to call next, you’ve crossed a threshold. You’ve moved from building a…

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    Agent Orchestration Explained
  • Sharon Campbell-Crow

    November 13, 2025
    LLMOps

    AI Agents: The Definitive Guide to Agentic Systems and How to Build Them for Production

    What if your AI system was more than a chatbot? What if it could book flights, debug code, or process…

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    AI Agents: The Definitive Guide to Agentic Systems and How to Build Them for Production
  • Sharon Campbell-Crow

    October 28, 2025
    LLMOps

    LLM Tracing: The Foundation of Reliable AI Applications

    Your RAG pipeline works perfectly in testing. You’ve validated the retrieval logic, tuned the prompts, and confirmed the model returns…

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    LLM Tracing: The Foundation of Reliable AI Applications

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