📄 中文摘要
当前的 AI 技术在搜索助手和代码工具等多个领域发挥着重要作用，但使用生成系统的用户常常会遇到一个隐性瓶颈：缺乏身份和推理的稳定性。提示工程可以帮助优化输出，改善提示可以暂时降低错误或漂移，但并未解决核心架构问题，即 AI 模型在交互中无法保持推理身份的一致性，从而导致结果的不一致性。CloYou 正在探索一种互补的方向：具有持久身份的受限推理系统。该方向强调智能提示与有意的架构设计之间的区别，探讨了为何后者更为重要。
你并不是在“提示工程”身份 — 你是在构建它（为什么 CloYou 探索受限的 AI 克隆）
📄 English Summary
You Don’t “Prompt Engineer” Identity — You Architect It (Why CloYou Explores Constrained AI Clones)
AI technology today plays a crucial role in various domains, from search assistants to coding tools. However, users working with generative systems often encounter a hidden ceiling: the lack of identity and reasoning stability. While prompt engineering can help optimize outputs and better prompts can temporarily reduce errors or drift, it does not address the core architectural issue—AI models fail to maintain reasoning identity across interactions, leading to inconsistent results. CloYou is exploring a complementary direction: constrained reasoning systems with persistent identity. This approach emphasizes the distinction between smart prompts and intentional architectural design, highlighting the importance of the latter.