Something can be learned in the course of observing things
Amazon shut down KiroRank on May 29. If you missed it: KiroRank was the internal leaderboard inside Amazon's Kiro developer platform that ranked employees by AI tool usage. The idea was to gamify AI adoption. Employees earned PhoneTool badges that showed up next to their names in the internal directory, like video game achievements. People competed. One employee described it as "the most fun I…
NotebookLM is an AI research assistant designed for project managers to improve material absorption by transforming how information is consumed. By allowing users to create notebooks with various sources, it generates tailored audio overviews and supplemental content. This tool enhances information retention through interactive conversations, though it relies heavily on the quality of…
You’re three sections into an AI feature spec. You have the user story, the success metrics, a few edge cases. Then one question stops you: what does the agent do when it hasn’t seen this before? Or: should it remember what this user told it last week? Or: when there are two valid paths, how [ ]
Your user tells the agent something important. Three days later, it’s gone. The agent from last week has no memory of who they are, what was said, or what worked. Every session resets. If your users have complained that your AI feature “feels dumb” or “keeps forgetting things,” the culprit is usually the same: a [ ]
Here s how the stakeholder update usually goes. You open a new chat, upload the latest PRD or design doc so the AI has something to work with, type help me write a stakeholder update for my ecommerce redesign project, and get back three paragraphs that are technically correct and completely generic. You spend the next [ ]
The existing definition describes the wrong direction. If you Google what is a product engineer right now, the AI overview gives you this: A technical professional who bridges the gap between engineering, product management, and user experience to design, develop, and refine products throughout their lifecycle. That definition is accurate. It describes an engineer who [ ]
Most PMs have used ChatGPT or Claude to answer a question or draft a document. That s prompting. There are two more levels above it, and they re where the real leverage is. If you ve been using AI tools for the past year or two, you probably have a sense of how powerful a good conversation with [ ]
A recent study shows coding agents can t tell when code is already fixed. The takeaway everyone ran with: AI isn t ready. There s a better takeaway hiding in the data. A research team at ETH Zurich published a study that got a lot of attention last week. The setup was clever: take software repositories where bugs [ ]
On speed, quality, and knowing when good enough is exactly right Every PM eventually faces a moment where the right answer feels like the wrong answer. You ve built something. Your team has poured months into it. It s good. It s getting better. And then the market shifts, or a competitor moves, or you look at the [ ]
Most product managers I know have tried building an AI agent. A lot of them gave up after the first attempt. The agent rambled. It asked irrelevant questions. It confidently produced outputs that missed the point entirely. The PM walked away thinking the technology wasn t ready, or that they needed a prompt engineer, or that [ ]