Prompt-engineered embeddings fail to beat strong tabular models in demand
Demand forecasting sits at the heart of inventory management, because every unit of forecast error ripples directly into replenishment timing, safety stock, service levels and operating cost. A new benchmark…
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Prompt Engineering Is Dead. Context Engineering Is What Actually Matters Now.
In 2023, the trick was knowing how to word a prompt. In 2026, every serious AI model follows instructions well enough that phrasing stopped being the bottleneck. The bottleneck is…
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Having AI Organize Vague Requests
“Write an announcement,” “Make this document look good”—short requests are easy, but because they don’t convey who the audience is or what the purpose is, the answers can often miss…
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Thinking about Prompt, Context, and Harness Engineering from the Perspective of Development Work｜カナメ｜エンジニア研修ノート
When researching “how to give good instructions to AI,” terms like prompt, context, and harness keep appearing one after another. For those who are just starting to learn development using…
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Prompt, Context, Harness, and the Next ‘Graph’ — Organizing the 5 Layers of Agent Design from Hands-on Failures｜現場AXラボ
1. Introduction — The Scope of Design Has Expanded Beyond the Model How to build AI agents has been discussed alongside the term “…engineering.” In Japanese explanations, it is often…
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The Key Was the Prompt — I Stopped Over-Engineering｜カイ
The more detailed the instructions, the more lost the AI gets; the fix was to ‘provide examples’ Creating content for X, LinkedIn, note, blogs, and podcasts from a single tweet….
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