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.

A friend pitched 'cloud try-on for jewelry.' Deep research killed the plan in 20 minutes. But the same Gemini pipeline from ÉLAN could generate editorial-quality product content — studio shots, material constellations, color DNA pages — for a fraction of what merchants pay photographers. One day later, Shichuan was live.

Two reports dropped the same week — one says 6.8M digital workers today scaling to 720 billion by 2035, the other says 'no systematic unemployment yet.' Both are right. People are panicking about the wrong timeline. Short-term fear is overblown, long-term impact is wildly underestimated, and the right move is to become the person who orchestrates AI teams.

A year ago, two essays predicted AI would create permanent wealth lock-in and make humans economically irrelevant. Twelve months later, the scorecard is in: entry-level jobs are collapsing, capital concentration exceeded predictions, but open source and solo founders are the counter-force nobody saw coming.

The same GitHub project is a quiet dev tool in the US and a nationwide mania in China. This isn't a knowledge gap — it's the product of WeChat's trust networks, Douyin's algorithm, A-share retail investors, an anxiety monetization industry, and government subsidies. None of these amplifiers exist in the US.

Mio's memory system stored facts about people as disconnected rows. Asking 'how's Xiaohong doing' had zero semantic overlap with 'Xiaohong works at Tencent'. The fix: treat people as first-class entities with their own table, linked memories, and consolidated profiles injected directly into the system prompt.

AI doesn't lack execution power. It lacks people who know what to execute. The future belongs to systematic thinkers who can decompose problems from first principles and orchestrate armies of AI agents. This is the era of the super individual.

I switched to API billing on Claude Code and finally saw the real cost of my sessions. Thousands of dollars on my laptop in 14 days. Thousands more on my cloud devbox. The Max plan is a flat monthly fee. The math is absurd.