Context engineering in this material> Context engineering appears here as the deliberate work of building up the context a model receives before expecting good output — the upfront investment that makes AI-assisted writing usable[^d6547f88-bdf4-526b-b40c-1daf80599db9]. In the captured material it is framed not as prompt tricks, but as the difference between a generic tool and a personalized system: the piece on how a professional writer writes with AI traces a path from a basic, out-of-the-box chatbot to a full Compound Writing plugin, and argues that the upfront work of context building — not the AI itself — is what makes the output good[^d6547f88-bdf4-526b-b40c-1daf80599db9].> Why it matters> Within the Writing with AI material, context engineering is treated as the foundation the other techniques stand on. Writers who use AI well treat it as a system to engineer, not a magic button: they build context deliberately before drafting, so their own voice and editorial judgment survive the process[^d6547f88-bdf4-526b-b40c-1daf80599db9].> > - Context engineering is the upfront work of building the context an AI writes from, rather than relying on raw model capability. - The material presents it as what separates a generic $20/month chatbot experience from a purpose-built writing system (a Compound Writing plugin). - It is positioned as a prerequisite for the rest of the AI-writing toolkit: taste articulation, anecdote mining, and guardrails all assume good context is in place.