AI B School 是一个面向 AI 时代的能力标准、训练与战略设计平台。我们关注的不是“会不会使用某个工具”，而是人在 AI 协作环境中如何继续创造价值。
AI B School is a platform for capability standards, training, and strategic design in the AI era. Our question is not whether people can use a particular tool, but how they continue to create value while working with AI.
人类的长期价值不在于与机器比计算，而在于愿景、判断、创造、责任与协作。AI 应当放大这些能力，而不是替代人的主体性。
Human value does not come from competing with machines at computation. It comes from vision, judgment, creativity, responsibility, and collaboration. AI should amplify these capabilities rather than displace human agency.
我们通过真实项目、能力档案、过程证据和独立验证，将抽象能力变成可观察、可训练、可讨论的现实成果。
Through real projects, capability dossiers, process evidence, and independent review, we turn abstract capabilities into observable, trainable, and discussable outcomes.
识别一个人在 AI 时代的能力结构、优势、短板与发展方向。
Identify strengths, gaps, and development priorities in an AI-era capability structure.
通过真实任务与项目，让能力在行动、反馈和迭代中形成。
Build capability through real work, feedback, and iteration.
帮助家庭、个人和组织把 AI 工具、人的能力与长期目标连接起来。
Connect AI tools, human capability, and long-term objectives for individuals, families, and organizations.
作品比形容词更可信。
Work carries more signal than adjectives.
先保护人的主动性，再谈自动化。
Protect human agency before optimizing automation.
先有证据，再做判断与传播。
Build evidence before making claims.
理论必须在真实项目中接受检验。
Theory must be tested in real projects before it becomes doctrine.