Ingraining Personal Perspectives into AI via Internal Docs
owl_posting · x · 2026-07-19
作者分享了将 AI 深度融入个人工作流的经验：通过撰写大量内部文章向模型（如 Codex）“科普”自己的专业知识与偏好。
这种方法能让模型将其通用智能“过滤”并适配到作者特定的视角和品味中，从而在更复杂的问题上按作者的标准执行。此外，模型在消化这些观点时暴露出的违和感，还能反向帮助作者发现自己思维中的漏洞，成为撰写下一篇文章的灵感来源。
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