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"https://raw.githubusercontent.com/leenlbma/aesthetic-engineering/main/content/04-%E5%AE%A1%E7%BE%8E%E8%AF%AD%E8%A8%80.md", "web_url": "https://leenlbma.github.io/aesthetic-engineering/articles/04/", "markdown_url": "https://leenlbma.github.io/aesthetic-engineering/markdown/04.md", "sha256": "f4831d0112052e0dc1334d54b5b227be1b40904f3d1caea9aa7a8dc6a1c961e4", "bytes": 22388, "sections": [ "一、我们拥有 Taste，却不一定拥有 Taste Language", "二、Prompt，本质上是一种「审美压缩」", "三、为什么「高级感」几乎是一个无效词？", "四、所以我们需要把 Taste 拆开", "五、但仅仅拆视觉属性，还不够", "六、我们可以先建立一个 Taste Coordinate System", "七、更重要的是：我们还需要「负向语言」", "八、Taste 最重要的语言，可能不是形容词，而是「关系」", "九、从 Style Prompt 到 Taste Spec", "十、但 Taste Language 永远不应该成为「审美公式」", "十一、语言之后，还需要 Reference", "十二、更有意思的是：AI 可以反过来帮助我们认识自己的 Taste", "十三、所以未来真正重要的能力，不只是 Prompt Literacy", "十四、Taste Language 的终点，不是让人变成设计师", "十五、从 Prompt Engineering 到 Taste Engineering", "十六、Taste Language 最终应该成为一种「活的语言」", "十七、好的 Taste System，应该同时理解「我是谁」和「我正在变成谁」", "十八、审美成长，本质上需要「被陌生的东西冒犯」", "十九、所以 Taste Language 不是答案，而是一张地图", "二十、从「我觉得不对」到「我知道哪里不对」", "二十一、AI 可能反而会让更多人拥有更好的审美", "二十二、未来最好的 AIGC 产品，可能一边帮你创作，一边训练你的 Taste", "二十三、所以，「会用 AI」和「会创作」会重新分开", "写在最后", "下一篇：Reference System" ] }, { "id": "05", "title": "Reference System：为什么一张参考图，可能胜过 1000 个 Prompt？", "summary": "说明借什么、不借什么，让图片带着职责进入创作。", "group": "六层能力", "source_path": "content/05-参考系统.md", "source_url": "https://raw.githubusercontent.com/leenlbma/aesthetic-engineering/main/content/05-%E5%8F%82%E8%80%83%E7%B3%BB%E7%BB%9F.md", "web_url": "https://leenlbma.github.io/aesthetic-engineering/articles/05/", "markdown_url": "https://leenlbma.github.io/aesthetic-engineering/markdown/05.md", "sha256": "a344a20317ad9a1f6be9a83ebce613273a8aceaac2e137e990a21c93e3a0f1e3", "bytes": 22277, "sections": [ "一、语言描述元素，图像保存关系", "二、Reference 真正改变的，是搜索空间", "三、一张 Reference 也可能毁掉整个结果", "四、Moodboard 不等于 Reference System", "五、最小单位不是图片，而是 Reference Atom", "六、每张 Reference，都应该有一份职责声明", "七、收藏夹储存欲望，取舍记录品味", "八、Reference System 的生命周期", "九、Embedding 可以找到相似，但相似不等于 Taste", "十、检索的目标不是“最像”", "十一、个人、品牌与项目，是三个不同层级", "十二、高级的参考，是迁移结构而不是复制表面", "十三、Reference 的三条边界", "十四、不只记录“喜欢”，还要记录“有效”", "十五、一套今天就可以开始的 Minimum Reference System", "Reference System 最终工程化的，不是图片，而是 Judgment", "写在最后", "下一篇：Art Direction" ] }, { "id": "06", "title": "Art Direction：为什么真正重要的选择，应该发生在生成之前？", "summary": "明确本轮目标、优先级，以及允许探索的边界。", "group": "六层能力", "source_path": "content/06-艺术指导.md", "source_url": "https://raw.githubusercontent.com/leenlbma/aesthetic-engineering/main/content/06-%E8%89%BA%E6%9C%AF%E6%8C%87%E5%AF%BC.md", "web_url": "https://leenlbma.github.io/aesthetic-engineering/articles/06/", "markdown_url": "https://leenlbma.github.io/aesthetic-engineering/markdown/06.md", "sha256": "fd5b675d05f38a118ef1850d0658a599b85f4991087ce81b60f164605882a216", "bytes": 21489, "sections": [ "一、不是模型不会生成，而是我们太早开始生成", "二、Art Direction 不是选择一种 Style", "三、Reference 提供证据，Art Direction 作出选择", "四、先提出 Direction Hypothesis，而不是直接寻找答案", "五、先决定世界，再决定画面", "六、一个方向必须拥有 Anchor", "七、把变量分成 Fixed、Open 与 Forbidden", "八、Variation Budget：创新不是越多越好", "九、不要只做一个方向，要制造可比较的方向", "十、把方向写成一份 Direction Contract", "十一、Art Direction 决定的不是一张图，而是结果分布", "十二、生成可以验证方向，但不能替代方向", "十三、生成前最重要的评审，不是看图，而是看选择", "十四、Art Direction 也可能成为权力工具", "十五、一套今天就可以开始的 Minimum Art Direction", "Art Direction 最终工程化的，是选择发生的顺序", "写在最后", "下一篇：Generation Protocol" ] }, { "id": "07", "title": "Generation Protocol：为什么一次生成，不应该只是一次抽奖？", "summary": "围绕一个问题组织候选，比较、修正，也学会停止。", "group": "六层能力", "source_path": "content/07-生成协议.md", "source_url": "https://raw.githubusercontent.com/leenlbma/aesthetic-engineering/main/content/07-%E7%94%9F%E6%88%90%E5%8D%8F%E8%AE%AE.md", "web_url": "https://leenlbma.github.io/aesthetic-engineering/articles/07/", "markdown_url": "https://leenlbma.github.io/aesthetic-engineering/markdown/07.md", "sha256": "1578ccaf06b39df717c9fed074963e2bcff42ecc74aa0d083615914c171da815", "bytes": 16205, "sections": [ "一、为什么生成了很多，却不知道自己进步在哪里", "二、从一张好图，转向一次有问题的生成", "三、一个完整案例：从“人在操作”，到“人拥有判断权”", "四、探索、比较与收敛，分别需要什么", "五、比较能告诉我们什么，不能告诉我们什么", "六、从幸运样本，到稳定可用的生成条件", "七、什么时候继续、回退、编辑或停止", "八、一张最小实验记录：留下判断，也留下意外", "写在最后" ] }, { "id": "08", "title": "Aesthetic Critic：AI 如何帮你做判断？", "summary": "区分观察与解释，让建议有证据，也有保护范围。", "group": "六层能力", "source_path": "content/08-审美评审.md", "source_url": "https://raw.githubusercontent.com/leenlbma/aesthetic-engineering/main/content/08-%E5%AE%A1%E7%BE%8E%E8%AF%84%E5%AE%A1.md", "web_url": "https://leenlbma.github.io/aesthetic-engineering/articles/08/", "markdown_url": "https://leenlbma.github.io/aesthetic-engineering/markdown/08.md", "sha256": "805b6d9690b6bc8c9e0188d070830efa5fc74220cbcfbc17ad3a17608a0a3313", "bytes": 16041, "sections": [ "一、评价之前，先说明什么值得被留下", "二、先让 AI 指出证据，再听它解释", "三、一个完整案例：精致与准确之间，怎样选择", "四、好的批评，要给修改留下边界", "五、评分模型有价值，但分数没有替我们完成取舍", "六、让 AI 做评审，也要检查评审本身", "七、分歧应该被解释，新的表达也应有位置", "八、一份今天就能用的最小评审约定", "写在最后" ] }, { "id": "09", "title": "Taste Memory：让 AI 记住你的审美", "summary": "保存选择发生的条件，让记忆跟得上人的变化。", "group": "六层能力", "source_path": "content/09-审美记忆.md", "source_url": "https://raw.githubusercontent.com/leenlbma/aesthetic-engineering/main/content/09-%E5%AE%A1%E7%BE%8E%E8%AE%B0%E5%BF%86.md", "web_url": "https://leenlbma.github.io/aesthetic-engineering/articles/09/", "markdown_url": "https://leenlbma.github.io/aesthetic-engineering/markdown/09.md", "sha256": "788e0f1d80bb106f611b8a8a2eec820056d3573dfca5a427f8e18280eba79573", "bytes": 15675, "sections": [ "一、一次选择，包含了多少没有说出口的条件？", "二、记忆的最小单位，是一段有依据的选择经历", "三、从经历到偏好，中间需要一层可以被推翻的假设", "四、下一次调用记忆，先问这次哪里相似", "五、更新与遗忘，让记忆跟得上人", "六、越懂你，越需要给陌生表达留位置", "七、怎样知道记忆真的有用？", "八、从下一次选择开始，建立最小审美记忆", "写在最后" ] }, { "id": "10", "title": "Brand Taste：如何让 AI 理解一个品牌？", "summary": "在不同场景中延续立场，也为新表达留下位置。", "group": "品牌与协作", "source_path": "content/10-品牌审美.md", "source_url": "https://raw.githubusercontent.com/leenlbma/aesthetic-engineering/main/content/10-%E5%93%81%E7%89%8C%E5%AE%A1%E7%BE%8E.md", "web_url": "https://leenlbma.github.io/aesthetic-engineering/articles/10/", "markdown_url": "https://leenlbma.github.io/aesthetic-engineering/markdown/10.md", "sha256": "4451a57bedf73f6a310f040c241fd8f01be84785e90935e200f320cc429bc2d9", "bytes": 16167, "sections": [ "一、从“符合规范”走到“理解取舍”", "二、品牌一致性，需要明确哪里可以变化", "三、一个案例：同样带货，为什么有的表达更属于品牌？", "四、让一次判断变成可复用的品牌经验", "五、怎样让这些约定进入 AI 的工作？", "六、业务效果怎样参与，而不吞掉其他判断？", "七、共同判断，需要明确的修改权", "八、从一个品牌、一个场景开始", "写在最后" ] }, { "id": "11", "title": "从个人到组织：一支团队如何共同作出审美判断？", "summary": "把分歧落到作品，把依据带进交接。", "group": "品牌与协作", "source_path": "content/11-团队协作.md", "source_url": "https://raw.githubusercontent.com/leenlbma/aesthetic-engineering/main/content/11-%E5%9B%A2%E9%98%9F%E5%8D%8F%E4%BD%9C.md", "web_url": "https://leenlbma.github.io/aesthetic-engineering/articles/11/", "markdown_url": "https://leenlbma.github.io/aesthetic-engineering/markdown/11.md", "sha256": "c6de9ad4f3988e6e26de2217142f3e6c1f468758acbe462ae0a5da3217836e62", "bytes": 10571, "sections": [ "一、争论之前，先确认大家正在解决同一个问题", "二、让分歧落到作品中的一处", "三、专业角色交付的，应当包括自己的依据", "四、交接时，要传递正在保护什么", "五、一次评审应该结束在一个具体动作上", "六、不要让协作流程吃掉创作", "七、判断团队是否进步，回到实际返工", "写在最后" ] }, { "id": "12", "title": "审美工程的边界：当 AI 越来越会创作，人怎样继续生长？", "summary": "当系统越来越懂你，怎样继续接触陌生的经验。", "group": "边界与未来", "source_path": "content/12-边界与未来.md", "source_url": "https://raw.githubusercontent.com/leenlbma/aesthetic-engineering/main/content/12-%E8%BE%B9%E7%95%8C%E4%B8%8E%E6%9C%AA%E6%9D%A5.md", "web_url": "https://leenlbma.github.io/aesthetic-engineering/articles/12/", "markdown_url": "https://leenlbma.github.io/aesthetic-engineering/markdown/12.md", "sha256": "8f2c1523370f22f4c4aebc2fe2753f50619391afd545b5721dd4c73afafb86f2", "bytes": 11814, "sections": [ "一、能够描述的部分，值得整理；尚未说清的部分，也需要位置", "二、好的不完美，需要说明它在作品里做了什么", "三、人的角色会扩展，不能只剩下最后点一次确认", "四、审美成长，需要在熟悉之外做一点实际工作", "五、文化经验不能只作为风格素材被调用", "六、规模会放大选择，也会放大未经检查的习惯", "七、谁来决定什么值得被喜欢？", "八、走完十二篇，我们实际得到什么？", "写在最后" ] } ] }