『Contextually Aware』のカバーアート

Contextually Aware

Contextually Aware

著者： Luis Calderon
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概要

 What product managers can actually build with AI today—and where it still breaks.© 2025 Luis Calderon マネジメント マネジメント・リーダーシップ 経済学
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  • Context Engineering: What Every PM Building AI Needs to Know

    Context Engineering: What Every PM Building AI Needs to Know
    2025/12/30

    The best prompt engineer I know told me he stopped writing prompts.

    He said: "Prompts are maybe 5% of what makes AI actually useful. The other 95%? It's everything the model sees before you even ask a question."

    If you're building AI features and still obsessing over prompt wording, you're optimizing the wrong thing.

    In this episode, I break down context engineering—what it is, where the term comes from, and how product managers can own the context window without writing code.

    **What you'll learn:**

    - Why "know your user" is the foundation of context engineering
    - The 3 types of retrieval: keyword, semantic, and graph RAG
    - Why more context actually hurts performance (context rot)
    - How to build evals that learn from future outcomes
    - 5 actionable homework items you can start today

    **People mentioned:**

    - Simon Willison (AI Engineer, Creator of Datasette)
    - Kevin Weil (CPO at OpenAI)

    **Key terms:**

    - Context window
    - RAG (Retrieval Augmented Generation)
    - Semantic search / Vector databases
    - Graph RAG / Knowledge graphs
    - Context rot
    - Evals / Data flywheel

    Context engineering is where product strategy meets model behavior. The best AI products aren't using better models—they're using better context.
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    10 分
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