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The model is not the problem. The prompt is not the problem. The problem is what you have not given it.
If your AI results swing between brilliant and useless, it is not the model having a bad day or your prompt missing some magic word. It is that you give the model a different amount of context every time — and you do not know it. Context First fixes that. Not with a clever trick or a paid tool, but with a discipline you can run in thirty minutes.
Written by a data center operations leader who built production AI systems used by 150+ operators, this is a practitioner's guide, not theory. It lays out the Context First Framework — seven layers that turn scattered instructions into a reliable brief — and a five-document stack that makes your context reusable across every model and every session.
Inside you will learn to write for AI agents, treat vibe coding as a discipline, build tools people actually adopt, and apply the framework inside a large organization. Every chapter moves from why to how, with templates you can use the next time you open a model.
No matter how fast AI evolves, the work of telling the model what you actually want is not going away. Context First teaches you to own that work — and the outcome.
