<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Eric|晓峰 Thinking</title><link>https://ericoding.cc</link><description>First-hand articles about AI workflows, internal tools, and practical delivery.</description><item><title>[EN] What Turns a Working AI Workflow into a Trustworthy One?</title><link>https://ericoding.cc/en/thinking/business-retro-2026w06</link><guid>https://ericoding.cc/en/thinking/business-retro-2026w06</guid><pubDate>Mon, 09 Feb 2026 00:00:00 GMT</pubDate><description>A working demo is only the start. Business use requires stable inputs, human checkpoints, exception handling, records, and an exit path.</description></item><item><title>[ZH] AI 流程从“能跑”到“可信”，要补齐哪些环节？</title><link>https://ericoding.cc/zh/thinking/business-retro-2026w06</link><guid>https://ericoding.cc/zh/thinking/business-retro-2026w06</guid><pubDate>Mon, 09 Feb 2026 00:00:00 GMT</pubDate><description>可运行只是起点。真正进入业务前，还要明确输入、人工确认、异常处理、记录和退出方式。</description></item><item><title>[EN] Why Do So Many AI Agents Demo Well but Fail in Daily Operations?</title><link>https://ericoding.cc/en/thinking/product-thinking-agent-surface</link><guid>https://ericoding.cc/en/thinking/product-thinking-agent-surface</guid><pubDate>Thu, 05 Feb 2026 00:00:00 GMT</pubDate><description>The usual problem is not model capability. Task intake, approval rules, exception handling, and accountability have not been productized.</description></item><item><title>[ZH] 为什么很多 AI Agent 能演示，却进不了日常业务？</title><link>https://ericoding.cc/zh/thinking/product-thinking-agent-surface</link><guid>https://ericoding.cc/zh/thinking/product-thinking-agent-surface</guid><pubDate>Thu, 05 Feb 2026 00:00:00 GMT</pubDate><description>问题通常不在模型能力，而在任务入口、确认规则、异常处理和责任边界没有产品化。</description></item><item><title>[EN] Why Does a Small-Business Website Need a Maintainable Content System?</title><link>https://ericoding.cc/en/thinking/tech-depth-astro-content-ops</link><guid>https://ericoding.cc/en/thinking/tech-depth-astro-content-ops</guid><pubDate>Thu, 29 Jan 2026 00:00:00 GMT</pubDate><description>A site is not finished at launch. Content models, bilingual pairing, and publishing checks prevent its facts from drifting over time.</description></item><item><title>[ZH] 小企业网站为什么需要可维护的内容系统？</title><link>https://ericoding.cc/zh/thinking/tech-depth-astro-content-ops</link><guid>https://ericoding.cc/zh/thinking/tech-depth-astro-content-ops</guid><pubDate>Thu, 29 Jan 2026 00:00:00 GMT</pubDate><description>网站不是上线一次就结束。清晰的内容模型、双语对应和发布检查，能避免长期更新后信息失真。</description></item></channel></rss>