Ideas Weave Every Narrative with AI.
McMaster-Carr just released an AI tool that translates plain-English descriptions into exact industrial SKUs — and in doing so, proved that the real value of AI isn’t content generation. It’s intent translation. While Silicon Valley builds chatbots that write emails, a 120-year-old industrial supply company just solved a multi-trillion-dollar discovery problem with a modest beta link: ‘Help me decide.’
Product managers are drowning in feedback, reduced to overwhelmed ‘tool people’ by the toxic mantra of ‘respecting all users.’ True product maturity isn’t about treating everyone equally, but making ruthless trade-offs based on business logic. Discover why listening to every voice is just avoidance, and how to confidently decide which users to ignore.
AI-powered feedback widgets fail in B2C because users lack motivation to provide feedback unless a critical failure occurs. The real use case is internal: teams, QA, and B2B environments where accountability exists. Stop deploying them on public apps and start using them as collaboration tools. The widget is a mirror, not a microphone.
Project features don’t become product capabilities just because you put them in a standard version. The key is a five-step conversion: pin the problem, define responsibility, restructure capabilities, assemble a minimal deliverable loop, and fix the organizational baseline. The hardest step? Deciding what to exclude.
Most product managers are passive stenographers, mistaking user expressions for real needs. But the same person will ask for opposite things in different scenarios—because they’re not a stable persona. The real unit of analysis is the scenario: the task, the risk, and the blame dynamics. Stop building features for labels. Start solving for context.
The panic to pivot into an AI product role is a trap. Your years of B2B domain expertise — supply chain, procurement, inventory — are not a liability. They are the ultimate competitive advantage. The real opportunity is not switching industries, but embedding AI into the workflows you already know. Here’s how to upgrade your skills without abandoning your career.
Your bank client analysis is broken because you’re reading macro reports instead of the benchmarking chain. Banks don’t buy rationally—they copy each other. Map who they follow, and you can predict what they’ll buy 6 months before the RFP drops. This is the framework that replaces useless reports with real revenue.
I tested four major AI models on SEO tool pricing, and they all failed miserably. The AI didn’t just hallucinate prices—it perfectly replicated the chaotic, opaque pricing blind spots of the SEO industry itself. Here’s why you should stop trusting AI for market research.
The metrics CEOs and investors obsess over — brand awareness, media coverage, market share — can actually erode competitive advantage by signaling threat to incumbents and inviting competition. The most durable businesses thrive in obscurity, where neglect itself becomes a moat. Obscurity isn’t a weakness. It’s a strategy.
Tired of duplicating work to keep clients updated? A developer spent nine months building a free, open-source bridge between Linear and client-facing dashboards. No spreadsheets, no paywalls—just real-time transparency that respects your workflow and their need for clarity.