<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>产品生命周期 on ailamemo</title><link>https://ailamemo.com/tags/%E4%BA%A7%E5%93%81%E7%94%9F%E5%91%BD%E5%91%A8%E6%9C%9F/</link><description>Recent content in 产品生命周期 on ailamemo</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Wed, 23 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ailamemo.com/tags/%E4%BA%A7%E5%93%81%E7%94%9F%E5%91%BD%E5%91%A8%E6%9C%9F/index.xml" rel="self" type="application/rss+xml"/><item><title>FDE 5–20 万报价：如何从体检做到系统级项目</title><link>https://ailamemo.com/treasure/methods/fde-5-to-20w-money-path/</link><pubDate>Wed, 23 Sep 2026 00:00:00 +0000</pubDate><guid>https://ailamemo.com/treasure/methods/fde-5-to-20w-money-path/</guid><description>顾小北分享 FDE 开始收钱、报价 5～20 万后的赚钱路径：¥999 体检当引流品，¥3999–9999 单流程做案例，再升级到 5～20 万的经营数据看板 / 产品生命周期系统。含报价拆法、当前动作和护栏。</description></item><item><title>顾小北优联荟笔记：AI 时代的机会、系统与判断（2026 精选）</title><link>https://ailamemo.com/treasure/methods/guxiaobei-youlianhui-notes/</link><pubDate>Wed, 16 Sep 2026 00:00:00 +0000</pubDate><guid>https://ailamemo.com/treasure/methods/guxiaobei-youlianhui-notes/</guid><description>把顾小北 2026-06~09 的优联荟群聊/笔记按主题归并：技术平权下真正的壁垒是什么、机会在哪里、系统怎么做、团队怎么协作，以及 Shopify / 内容中台 / 亚马逊 Listing 三个跨境自动化案例。含风险边界，未亲测部分已标注。</description></item><item><title>顾小北公众号：AI 时代，赚钱的方法好多啊（原文记录）</title><link>https://ailamemo.com/aicreate/ai-automation/guxiaobei-ai-era-money-opportunities/</link><pubDate>Wed, 16 Sep 2026 00:00:00 +0000</pubDate><guid>https://ailamemo.com/aicreate/ai-automation/guxiaobei-ai-era-money-opportunities/</guid><description>顾小北公众号一篇关于 AI 时代机会的原文记录：先别碎片化学 AI，把能力和真实业务场景结合；用团队级 AI 知识库、产品生命周期系统两个刚需例子理解变现，再按 Skill → 项目 → 系统逐级放大。</description></item><item><title>AI 时代赚钱机会：需求 → 变现 → 能力 → 规模</title><link>https://ailamemo.com/treasure/methods/ai-era-money-opportunity-map/</link><pubDate>Tue, 15 Sep 2026 00:00:00 +0000</pubDate><guid>https://ailamemo.com/treasure/methods/ai-era-money-opportunity-map/</guid><description>一篇机会地图的整理与落地规划：别碎片化学 AI，要把能力和真实业务场景结合。从 Boss 直聘看需求，用团队级 AI 知识库、产品生命周期系统这两个刚需例子理解变现，再按 Skill → 项目 → 系统逐级放大。</description></item></channel></rss>