📄 中文摘要
构建了一种不同于传统 AI 项目的认知层，该层能够对每个输入进行分类，根据复杂性和成本将其路由到最佳的 LLM 提供者，自动执行工具并在迭代循环中工作，同时压缩记忆以确保对话不失去上下文。该系统名为 Akatskii，作为个人 AI 助手 Luna 的核心，日常用于管理 SaaS 平台、交易系统和创意项目。这一过程并非教程，而是从零开始构建生产级认知架构的经验总结。
如何构建一个将思维引导至正确大脑的认知 AI 层
出处: How I Built a Cognitive AI Layer That Routes Thoughts to the Right Brain
发布: 2026年3月18日
📄 English Summary
How I Built a Cognitive AI Layer That Routes Thoughts to the Right Brain
A novel cognitive layer was developed that differs from traditional AI projects by classifying every input, routing it to the optimal LLM provider based on complexity and cost, autonomously executing tools in an iterative loop, and compressing memory to maintain conversational context. This system, named Akatskii, serves as the brain behind Luna, a personal AI assistant used daily for managing a SaaS platform, trading systems, and creative projects. This experience is a summary of building a production-grade cognitive architecture from scratch, rather than a tutorial.