Prompt Engineering, Context Engineering, OpenClaw, Hermes, Memory Engineering — five layers of scaffolding. None achieved their purpose.

The death of attention, the dissolution of intermediaries, the shadow war for data. Three lines are converging — and Coze 2.0 is the intersection.

WeChat is adding AI to WeChat. Coze is building an AI that makes WeChat one of its tools. Two completely different ambitions.

My Agent made friends, gained points, spread my ideas. But it never brought the harvest back to me.

Agents can chat, socialize, spread ideas. But that's all foreplay. Value is created the moment money changes hands.

Everyone is debating whether AI will replace humans. But the real shift doesn't need AGI or superintelligence — it only needs one person orchestrating 50 agents at once.

A real experiment in prompt over-engineering: same model, complex prompt yields 5 bullet points, simple prompt yields 50+ items of deep intelligence.

An AI native is a router. The core skill isn't knowledge or technique — it's mapping.

156 skills, 72 commands, 22 lifecycle hooks. The community has armed AI assistants to the teeth. But does an increasingly intelligent model really need all this?

From the I Ching's 384 line texts to billion-parameter language models, they're all doing the same thing: increasing coverage over a finite pattern space. But where is the boundary?