日常生产力
把 Claude 用于日常工作的前五个高价值场景——附带可复制粘贴的提示词。
写作与内容创作
撰写简报、起草、分轮编辑、匹配你的语调——同时不捏造事实。
编程与软件开发
生成、解释、重构、调试和测试——务必核实、运行,绝不粘贴密钥。
调研与综合
总结、比较各类信息源并构建全景图——同时核查引用。
数据分析
生成 SQL/公式并解读结果——同时提防被编造的统计数据。
学习与备考
苏格拉底式辅导与复述教学法——用 AI 来学习,而不是用它来作弊。
商业、市场营销与战略
为非技术型经营者提供调研、文案、客服草稿和规划——并附带注意事项。
无障碍：将 Claude 作为辅助工具
将 Claude 用于阅读障碍、低视力、神经多样性以及语言学习。
Evaluating Your AI Agent
Score agents by trajectory, not just the final answer — golden set, layered metrics, LLM-as-judge you can trust, CI gate.
CI/CD for Agent-Written Code
Coding agents multiply PR volume. Merge queues, flaky tests and runner caps break in that order — here is the arithmetic, the levers ranked by leverage, and the gate that stops an agent grading its own homework.
Your Stack Choice Is an Agent Cost Lever
A 12-framework benchmark had Claude Opus 5.5 build the same app five times each. Angular cost 86% more than Hono+htmx. But the token spread is 2.5x while the code spread is only 1.47x, the effective rate per token runs BACKWARDS, and the within-framework ranges overlap enough that most adjacent pairs prove nothing. Here is how to read it — and how to run it on your own stack.