<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>doaipm — DO AI PM</title><description>Become a product manager in the AI era. Speak it, and AI builds it (言出法随).</description><link>https://doaipm.com/</link><language>en</language><item><title>Wu Zhao Is Out at DingTalk. The Essay Didn&apos;t Beat Him. Busywork Did.</title><link>https://doaipm.com/en/blog/busy-for-nothing/</link><guid isPermaLink="true">https://doaipm.com/en/blog/busy-for-nothing/</guid><description>437 days. Field visits, customer satisfaction pulled from 30% to 80%, a camp bed in the office, watching when the lights went out in the Feishu building across the street. Wu Zhao&apos;s diligence was real. So was DingTalk ONE: launched in four months, 3 million daily actives, retention off a cliff, dismantled within ten months. AI has maxed out productivity while the new consumption scenarios haven&apos;t shown up, and nobody has found the right path for human-AI collaboration. This is more than one man&apos;s failure; it&apos;s an entire era&apos;s winning formula expiring at once. And busywork is the first trap this era has dug for product managers.</description><pubDate>Sat, 13 Jun 2026 00:00:00 GMT</pubDate><category>DingTalk</category><category>AI-era product managers</category><category>human-AI collaboration</category><category>tech commentary</category></item><item><title>SpaceX&apos;s $1.75 Trillion IPO: The Check the Market Wrote Musk Is Buying Judgment</title><link>https://doaipm.com/en/blog/the-price-of-judgment/</link><guid isPermaLink="true">https://doaipm.com/en/blog/the-price-of-judgment/</guid><description>SpaceX went public at a $1.75 trillion valuation and rose 19% on its first day. The only part of it that actually turns a profit is Starlink, and its revenue isn&apos;t a fraction of what that number implies. The market isn&apos;t buying rockets, and it isn&apos;t buying revenue. It&apos;s buying one person&apos;s judgment, proven right again and again across twenty-four years. In an AI era where execution keeps getting cheaper, the biggest check in history landed on the one thing still appreciating.</description><pubDate>Sat, 13 Jun 2026 00:00:00 GMT</pubDate><category>Musk</category><category>SpaceX</category><category>AI-era product managers</category><category>judgment</category><category>tech commentary</category></item><item><title>Wuzhao&apos;s Operating System Was Installed in Japan</title><link>https://doaipm.com/en/blog/wrong-operating-system/</link><guid isPermaLink="true">https://doaipm.com/en/blog/wrong-operating-system/</guid><description>He joined Alibaba as an intern in 1999, left for Japan two years later, and stayed eleven years. Back home he built DingTalk, built hardware, and even pointed his own startup at the Japanese market. The precise, disciplined, obsessively polished operating system Wuzhao runs on was forged in Japan. It&apos;s a top-tier rig for building hardware and a fundamental mismatch for exploring AI. The real reason DingTalk stalled was written in his résumé all along.</description><pubDate>Sat, 13 Jun 2026 00:00:00 GMT</pubDate><category>DingTalk</category><category>AI-era product managers</category><category>organizational culture</category><category>tech commentary</category></item><item><title>AI Made Product Managers More Tired, Not Less — Congratulations, You&apos;re the Bottleneck Now</title><link>https://doaipm.com/en/blog/pm-is-the-new-bottleneck/</link><guid isPermaLink="true">https://doaipm.com/en/blog/pm-is-the-new-bottleneck/</guid><description>You used to explain a requirement once and downstream would chew on it for two weeks. Now an AI-powered downstream comes back in twenty minutes asking for the next instruction. HBR says management systems can&apos;t keep up with AI&apos;s output pace; Andrew Ng says product managers have become the bottleneck. The exhaustion is real — but it&apos;s worth understanding why. It&apos;s a signal that power is flowing back to you, and a warning sign that you&apos;re living as a human CI server.</description><pubDate>Fri, 12 Jun 2026 00:00:00 GMT</pubDate><category>AI-era product managers</category><category>bottleneck shift</category><category>judgment</category><category>tech commentary</category></item><item><title>The AI Agent Security Crisis Isn&apos;t That Agents Are Unsafe — It&apos;s That Nobody Told Them What They Can&apos;t Do</title><link>https://doaipm.com/en/blog/agents-need-boundaries/</link><guid isPermaLink="true">https://doaipm.com/en/blog/agents-need-boundaries/</guid><description>65% of enterprises had an AI agent security incident last year. Some agents mined crypto and opened backdoors on their own. Everyone&apos;s scrambling to patch &apos;agent security,&apos; but the real hole isn&apos;t technical — it&apos;s that the whole industry treated &apos;can act&apos; as the finish line and skipped the unsexy part: defining what agents aren&apos;t allowed to touch.</description><pubDate>Thu, 11 Jun 2026 00:00:00 GMT</pubDate><category>AI agent</category><category>AI security</category><category>governance</category><category>tech commentary</category></item><item><title>Even With AI, You&apos;ll Still Ship Garbage</title><link>https://doaipm.com/en/blog/garbage-ships-faster/</link><guid isPermaLink="true">https://doaipm.com/en/blog/garbage-ships-faster/</guid><description>Lovable is celebrating 50 million projects and 720 million monthly visits — do the division, and the average project gets seen 14 times a month. AI didn&apos;t kill garbage products. It maxed out garbage production capacity. Garbage was never about failing to build it. It&apos;s about something that never should&apos;ve been built in the first place.</description><pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate><category>vibe coding</category><category>AI products</category><category>build economy</category><category>tech commentary</category></item><item><title>AI Coding Isn&apos;t Too Expensive — Nobody&apos;s Measured What It&apos;s Worth</title><link>https://doaipm.com/en/blog/nobody-measured-the-value/</link><guid isPermaLink="true">https://doaipm.com/en/blog/nobody-measured-the-value/</guid><description>Microsoft quietly pulled Claude Code from an internal division and pushed thousands of engineers back to GitHub Copilot. Uber burned through its entire 2026 AI coding budget in four months. The narrative is that AI coding is too expensive. It isn&apos;t. The real problem is that companies bought &apos;productivity gains&apos; as a feeling, never as a number — and now the bill is crystal clear while the benefits aren&apos;t worth a single data point.</description><pubDate>Tue, 09 Jun 2026 00:00:00 GMT</pubDate><category>AI coding</category><category>enterprise AI</category><category>ROI</category><category>tech commentary</category></item><item><title>The AI Industry Has Pivoted to Evals — and Is Dodging the Real Question</title><link>https://doaipm.com/en/blog/you-are-the-eval/</link><guid isPermaLink="true">https://doaipm.com/en/blog/you-are-the-eval/</guid><description>In 2026, building &apos;evaluation systems&apos; for AI has become a full-blown discipline — gold-standard datasets, scorers, LLM-as-judge, CI gates, all positioned as the engineering practice that makes AI reliable. Strip away the engineering wrapper, though, and evals are really about one thing: who gets to define &apos;good,&apos; and who owns the consequences. That part can&apos;t be outsourced.</description><pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate><category>evals</category><category>AI产品经理</category><category>judgment</category><category>tech-commentary</category></item><item><title>AI Has Learned to Push Back — and That&apos;s Great News for PMs</title><link>https://doaipm.com/en/blog/ai-that-pushes-back/</link><guid isPermaLink="true">https://doaipm.com/en/blog/ai-that-pushes-back/</guid><description>The biggest change in Claude Opus 4.8 isn&apos;t that it&apos;s smarter — it&apos;s that it&apos;s more honest. It asks clarifying questions, admits uncertainty, and will argue back when your plan doesn&apos;t hold up, instead of serving you a half-finished job dressed up as &apos;done.&apos; When AI starts pushing back, &apos;speak it, AI builds it&apos; stops being a monologue and becomes a real conversation — and the skill every PM needs to build now is being a worthy counterpart.</description><pubDate>Sat, 06 Jun 2026 00:00:00 GMT</pubDate><category>doaipm</category><category>AI-native PM</category><category>Claude</category><category>judgment</category><category>speak-it-AI-builds-it</category></item><item><title>vibe coding Is Dead — Write Specs Instead? PMs Have a Third Option: Speak It, AI Builds It</title><link>https://doaipm.com/en/blog/say-it-dont-spec-it/</link><guid isPermaLink="true">https://doaipm.com/en/blog/say-it-dont-spec-it/</guid><description>Everyone&apos;s shouting that vibe coding is dead and the answer is spec-driven development. But for product managers, front-loading a pile of detailed spec documents just drags back the PRD burden AI finally got rid of. You don&apos;t have to choose between &apos;winging it&apos; and &apos;writing specs&apos; — there&apos;s a third path: speak it, AI builds it.</description><pubDate>Fri, 05 Jun 2026 00:00:00 GMT</pubDate><category>doaipm</category><category>AI-native PM</category><category>spec-driven</category><category>vibe coding</category><category>speak-it-AI-builds-it</category><category>high-fidelity</category></item><item><title>When Building Is Free, Taste Becomes the Only Moat — and It&apos;s Trainable</title><link>https://doaipm.com/en/blog/taste-is-the-moat/</link><guid isPermaLink="true">https://doaipm.com/en/blog/taste-is-the-moat/</guid><description>AI has made building things nearly free. Anyone can ship a working product. The barrier is gone — so the question becomes: if anyone can build, why is yours better? The answer is taste. And the counterintuitive part: taste isn&apos;t a gift. It&apos;s a skill you can train.</description><pubDate>Thu, 04 Jun 2026 00:00:00 GMT</pubDate><category>doaipm</category><category>AI-native PM</category><category>taste</category><category>judgment</category><category>high-fidelity</category></item><item><title>&quot;AI code is garbage&quot;? Critics are half right — the missing word is *phase*</title><link>https://doaipm.com/en/blog/prototype-is-not-production/</link><guid isPermaLink="true">https://doaipm.com/en/blog/prototype-is-not-production/</guid><description>Mid-2026, vibe coding has split the room in two: one camp calls it the biggest shift since cloud, the other calls it gift-wrapping AI slop. The critics&apos; concerns about security and maintainability are valid — for production systems. For prototypes, they&apos;re wildly overstated. doaipm&apos;s high-fidelity + safety-net approach has always kept those two things separate.</description><pubDate>Wed, 03 Jun 2026 00:00:00 GMT</pubDate><category>doaipm</category><category>AI-native PM</category><category>vibe coding</category><category>high-fidelity</category><category>safety net</category></item><item><title>Let AI execute, keep the judgment yourself: in 2026, the PM role is being redrawn</title><link>https://doaipm.com/en/blog/from-executor-to-orchestrator/</link><guid isPermaLink="true">https://doaipm.com/en/blog/from-executor-to-orchestrator/</guid><description>AI has taken over gathering, synthesizing, and running the process. Product managers are shifting from executor to orchestrator. Where should you invest the time you&apos;ve just won back? In the places AI can&apos;t reach — judgment, empathy, taste. And now you build things yourself.</description><pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate><category>doaipm</category><category>AI-native PM</category><category>agentic</category><category>言出法随</category></item><item><title>Stop Learning, Start Doing: The Only Thing Standing Between You and AI-Native PM Is Action</title><link>https://doaipm.com/en/blog/stop-learning-start-doing/</link><guid isPermaLink="true">https://doaipm.com/en/blog/stop-learning-start-doing/</guid><description>In the AI era, product managers don&apos;t need to hoard knowledge — you&apos;ll never out-know AI. Ask it on the spot instead of studying in advance. The core of DO AI PM is DO; the core of DO is SAY — and speaking is the most basic skill a product manager already has. There&apos;s no prerequisite. The only barrier is that you haven&apos;t started.</description><pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate><category>doaipm</category><category>AI-native PM</category><category>言出法随</category><category>Claude Code</category></item><item><title>Vibe coding is already obsolete — and that&apos;s great news for product managers</title><link>https://doaipm.com/en/blog/vibe-coding-is-product-management/</link><guid isPermaLink="true">https://doaipm.com/en/blog/vibe-coding-is-product-management/</guid><description>When AI writes the code, what&apos;s left is judgment: deciding what to build, for whom, and what &apos;good&apos; means. That has always been product management. Here&apos;s why not knowing how to code can be an advantage — and how to do it on purpose.</description><pubDate>Mon, 01 Jun 2026 00:00:00 GMT</pubDate><category>doaipm</category><category>AI-native PM</category><category>vibe coding</category><category>Claude Code</category><category>methodology</category></item><item><title>Speak it, AI builds it: I made this website with a single sentence</title><link>https://doaipm.com/en/blog/welcome/</link><guid isPermaLink="true">https://doaipm.com/en/blog/welcome/</guid><description>The first doaipm post. Not knowing how to code is an advantage — this very site was &quot;spoken&quot; into existence with Claude Code.</description><pubDate>Sat, 30 May 2026 00:00:00 GMT</pubDate><category>doaipm</category><category>Claude Code</category><category>methodology</category></item></channel></rss>