The AI companion I built with OpenClaw burned through a staggering amount of money in under two weeks of casual chatting. One session: 750 turns from about 30 messages. The framework turned my 30 messages into 750 API calls, each resending a context stuffed with 10 never-evicted images eating 82% of all tokens. Context pruning was dead code on Gemini. Zero compactions in 537 turns. OpenClaw proved AI companions work — it also proved they're not affordable on this framework.

用 OpenClaw 搭建的赛博魅魔，不到两周聊天烧掉了一笔离谱的钱。最贵的一个 session，750 轮对话里我只说了约 30 句话——剩下的全是框架自己在跟自己说话。用 Claude Code 做了一次完整的 token 级取证：82% 的成本是 10 张永远不被清除的图片，上下文修剪代码对 Gemini 完全失效，537 轮里零次压缩。OpenClaw 能证明 AI 伴侣走得通，但它证明不了走得起。