一天内给 ÉLAN 加了 37 张旅行地标灵感卡，结果发现真正的问题不是内容创建——是发现。用户想的是氛围，不是地理位置。我们把浏览体验重建在 vibe + 地区双轴筛选上，并用并行 AI agent 编排了 37 个卡定义、37 张封面、444 张样本图。

Adding 37 travel landmark cards to ÉLAN in a single session revealed that the real problem isn't content creation — it's discovery. Region-first tabs don't work when users think in vibes, not geography. Here's how we rebuilt the browse experience around a two-axis vibe + region filter, and what it took to orchestrate 37 card definitions, 37 covers, and 444 sample images with parallel AI agents.

我同时派出 5 个调研 Agent，分头研究小红书拍照趋势、经典 Pose、文案公式、奢侈品美学和竞品 UX。42 个数据点回来了。从这些调研里，我设计了灵感卡目录——一个把场景、Pose、调色、文案全部打包好的套餐系统。这篇拆开一张卡讲到原子级别，也坦诚讲哪些设计有效、哪些踩了坑。

I sent 5 research agents out simultaneously to study Xiaohongshu photo trends, pose libraries, caption formulas, luxury aesthetics, and competitor UX. 42 data points came back. From that research, I designed a catalog of Muse Cards — curated photoshoot packages that encode everything from scene and pose to color grading and caption. Here's the full design process, one card dissected to its atoms, and honest notes on what works and what doesn't.

妙鸭相机首月日活 60 万，一年后跌了 94%。大多数 AI 拍照 App 卖的是新鲜感——但新鲜感会衰减。我想试试不同的路：用「灵感卡」把完整的视觉公式打包好，3 步出片 + 配文。这是目前的思考和实验记录。

Miaoya Camera hit 600K DAU and lost 94% within a year. Most AI photo apps sell novelty — but novelty decays. I wanted to try something different with ÉLAN: curated 'Muse Cards' that encode a complete visual formula for effortless luxury, so users get photos and social captions in 3 taps. Here's what I've learned so far.

没有头像，没有虚构角色的聊天气泡。只有一个会呼吸、会跳动、会随情绪变暗的光球。Mio v2 如何用抽象视觉绕开恐怖谷，让性格从对话中自然生长。

No avatar. No chat bubbles from a fictional character. Just a pulsing light orb that breathes, bounces, and dims with emotion. How Mio v2's visual identity sidesteps the uncanny valley and lets personality emerge through conversation.