Ideas Weave Every Narrative with AI.
AI Product Management is dead. Long live Agent Orchestration. As model capabilities commoditize, the real competitive advantage isn’t a better algorithm—it’s embedding so deeply into a user’s workflow that leaving becomes psychologically painful. Here’s how to survive the shift.
JackeyLove’s post-MSI apology isn’t a moment of humility; it’s a symptom of systemic failure. When star players normalize toxic scrim habits and a lack of resilience, they use apologies as a shield rather than a solution. True leadership requires fixing the broken system, not just saying sorry.
Vibe Coding tools like Rork are letting anyone build apps with a single sentence. But while AI has obliterated the barrier to production, it has ruthlessly exposed the real bottleneck: distribution. If you don’t have an audience or deep industry insight, your AI-generated app is just digital dust.
For years, emerging PLM vendors have tried to build cheaper versions of Siemens or PTC. That strategy is suicide. The next-generation PLM isn’t about managing drawings and BOMs—it’s about AI readiness, cross-disciplinary collaboration, and digital threads. If you’re competing on feature parity, you’ve already lost.
Alibaba just forced its entire workforce to stop using Claude and switch to its own AI, Qwen. Employees are furious, but this isn’t just a compliance move—it’s a masterclass in product development. Here’s why forcing your team to use your own clunky tool is the fastest way to build a competitive moat.
Alipay’s new AI assistant A’Bao doesn’t write poetry or debate philosophy — it just handles your money, pays your bills, and books your appointments. While the tech world races to build the ultimate chatbot, Alipay proves that the real AI moat isn’t intelligence. It’s integration. The winners won’t be the smartest AI; they’ll be the most embedded.
A viral post can generate massive engagement while quietly destroying your brand. When content rides on emotion rather than product demand, it attracts the wrong audience, distorts price perception, and trains the market to expect the wrong things. The real signal isn’t in the likes — it’s in whether your comments section contains purchase-intent questions or just emotional reactions. Before you scale a viral hit, ask: did this find an audience, or did it find MY audience?
When AI makes implementation cheap, the product manager’s job shifts from managing resources to making high-quality judgments: what to build, when, and to what degree. Forget learning to code—become a judgment architect. This article breaks down 7 strategies from OpenAI’s Codex lead on how to thrive when building is abundant and taste is the only moat.
Building an AI product isn’t just about prompt engineering. After developing Read-Box, an AI reading assistant with three collaborating Agents, I discovered that 30% of development time was swallowed by invisible, non-functional costs. Product managers must understand that architectural decisions—like choosing shared storage over event buses, or abstracting the LLM layer—directly dictate a product’s iteration speed, scope, and risk.
Selling AI features is a race to the bottom. Selling AI judgment is a fortress. Beisen, China’s HR SaaS giant, spent four years learning this hard truth. Their path from 40% losses to 5% profits reveals a blueprint for any SaaS company facing the AI dilemma: focus on outcomes, not technology. The real moat isn’t the model—it’s two decades of human expertise.