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.

一天内给 ÉLAN 加了 37 张旅行地标灵感卡，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。把浏览体验重建在 vibe + 地区双轴筛选上，用并行 AI agent 编排了 37 个卡定义、37 张封面、444 张样本图。

ÉLAN's target user takes photos on her phone and posts from her phone. A web-only product misses the core use case. Here's what actually happened when I brought a Next.js app to React Native via Expo — what transferred, what didn't, and the SSE streaming hack that saved the project.

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.

A deep dive into ÉLAN's 10-section prompt system, the VANITY_DESIGN_INSTRUCTIONS that make luxury look incidental, SSE streaming architecture, caption generation with 3 style templates, and the real cost breakdown — output image tokens dominate virtually all of the per-session cost.

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.

ÉLAN 的目标用户拍照在手机上，发帖在手机上。纯网页版错过了核心场景。这篇记录了把 Next.js 应用搬到 React Native (Expo) 的真实过程——哪些能复用，哪些不能，以及一个 SSE 流式传输的坑是怎么填的。

一个晚上同时跑了 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、竞品 UX，合出来一份 42 个数据点的调研报告。灵感卡目录就是从这些调研里设计出来的：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，也讲哪些设计有效、哪些踩了坑。

拆解 ÉLAN 的 10 段式 prompt 系统、让奢侈品「不经意」出现的 VANITY_DESIGN_INSTRUCTIONS、SSE 流式推送架构、三种风格的配文生成，以及真实成本结构——输出图片的 token 占了绝大部分开销。

我这几个月在捣鼓 ÉLAN，一个 AI 写真加配文的平台。动手之前先看了看妙鸦相机这批产品是怎么衰减的，然后想试一条不太一样的路：用「灵感卡」把完整的视觉公式打包好，3 步出片带配文。这是目前的思考和实验记录。