Best Of Product Roundup - February 14, 2026
The best expert-curated product content from the best product thinkers from around the Internet delivered twice a month.
Every two weeks, we dive into the vast ocean of product content online, both free and paid. We sift through it all to bring you the crème de la crème. Our round-up includes carefully curated links and concise excerpts from top content.
This week’s highlights feature:
Top 3 Long-Form Articles/Podcasts
Top 3 Tweets
Top 4 LinkedIn Posts or Short Videos
Our expert product team has selected these resources to help you save thousands of dollars on unnecessary subscriptions, avoid wasting time reading instead of taking action, and save years following the wrong advice. Our mission is to introduce you to brilliant product thinkers, whether they’re renowned experts or emerging voices.
In case you missed them, here are the recent posts from Emergent:
Top Long-Form Content
Every Maker Is Now a Manager (of AI)
What we liked: A deeply researched, contrarian take from someone actively building in this space. Instead of the typical “AI makes you more productive!” narrative, this names the psychological toll that most practitioners feel but can’t articulate — and proposes a design-level fix.
Choice quote: “We spend our attention evaluating results instead of supervising the process. As we would with a capable colleague!”
Digital Twins for Product Feedback
What we liked: This is the kind of specific, replicable PM workflow that readers can implement Monday morning. The honest limitations section (you need a year of built-up context, human judgment is non-negotiable, the twin will sometimes be wrong) adds credibility. A pure signal piece for working PMs.
Choice quote: “I used to approach documents hoping they’d survive first contact. Now I send them knowing they already have.”
What we liked: The most immediately copy-paste-able article of the week. Where most “personal OS” content stays at the concept level, this one gives you the folder structure, the CLAUDE.md file, the workflow specs, and the example commands. The templates vs. workflows distinction alone is worth the read.
Choice quote: “Less files = less LLM decision-making about what to prioritize. Claude can pick up what it needs from one consolidated doc.”
Top Tweets
Software development is undergoing a renaissance in front of our eyes.
What we liked: This is the post of the week. A co-founder of OpenAI sharing the actual internal memo for how they’re restructuring their own teams around coding agents. The specificity is remarkable — skills directories, AGENTS.md files, “say no to slop” as a code quality principle. Every product leader should read this as a preview of what their own org will need to do in the next 6 months.
Choice quote: “For any technical task, the tool of first resort for humans is interacting with an agent rather than using an editor or terminal.”
The combination is rare because most orgs actively select against it.
What we liked: A contrarian, honest take on why the “high agency” mantra falls flat in practice. The insight that PMs who survive 10+ years optimize for just enough agreeability to stay employed is uncomfortable and true. Directly relevant to AI-first PMs who need to push orgs toward uncomfortable transformations.
Choice quote: “Real high agency means burning political capital regularly. You need enough wins to replenish faster than you spend.”
9 prioritization lessons I learned the hard way.
What we liked: The “ignorance tax” framing is memorable and immediately applicable. The contrarian point that you won’t need frameworks if your strategy is focused enough challenges the PM community’s obsession with scoring models.
Choice quote: “Most of the time you won’t need any frameworks if you have an adequately focused strategy.”
Top LinkedIn Posts & Short Videos
“Have you ever noticed that AI gets worse the longer you talk to it?”
What we liked: Takes a phenomenon every PM has experienced but few can explain and turns it into a systematic playbook. The parallels drawn to human cognition (recency bias, working memory, overload) make the concept immediately intuitive. 365+ reactions and 42 comments show massive resonance. Highly practical for any PM using AI tools daily.
Choice quote: “Long conversations dilute attention, not because the model is ‘forgetting,’ but because it’s deciding what matters now.”
AI coding tools are turning PMs into “builders” for the wrong features.
What we liked: A timely contrarian take that challenges the vibe-coding hype. The core insight — that engineering scarcity used to force better thinking, and AI abundance has removed that constraint — is sharp and important. The three pre-build questions are immediately applicable.
Choice quote: “AI doesn’t fix unclear thinking. It just executes it faster.”
Everyone’s building AI agents. Very few understand what’s actually under the hood.
What we liked: A solid architectural mental model for PMs who need to understand agent infrastructure without getting lost in engineering details. The body-as-metaphor framework (brain, hands, nervous system) makes the stack intuitive and memorable. Useful for any PM scoping or evaluating AI agent products.
Choice quote: “A model without tools is just a chatbot.”