Articles
- AI Stopped Being a Feature. It Became Infrastructure.
AI is moving into the plumbing of health, public health, and web data. Here's what that shift means for your product roadmap and what to ask your team.
- Your Creators Are Becoming Companies. Plan For It.
VidCon 2026 made the creator economy shift clear: creators are building products, owning data, and hiring crews. Here's what it means for your team.
- The screen is not the only place your users will reach
Gesture lighting, ultrasound hand tracking, and brain-reading wearables show input is moving past the tap. Here is what design leaders should watch.
- Salesforce Just Bought Your Support Roadmap. Here's What to Do About It.
Salesforce is buying Fin for $3.6B and Fin now runs on rival helpdesks. Here's what the support-agent land grab means for your team and your build decisions.
- AI Made It Cheap to Ship the Wrong Thing. Now What?
Build to learn vs build to earn: AI dropped the cost of delivery, so your real bottleneck is discovery. Here is what that means for your product team.
- Your Job Just Moved From Making the Thing to Judging the Thing
AI now does the making. The design skill that survives is critique: defining what good looks like and judging output. Here's how to staff and run reviews for it.
- Meta Is Shipping New Surfaces While Breaking the Floor They Stand On
Meta launched $299 smart glasses and a prediction-market app, but its engineering org is in free fall. Here's what product leaders should watch.
- Amplitude Just Handed the Analytics Loop to Agents. Where Do You Still Hold the Pen?
Amplitude's AI agents now instrument events, triage bugs, and find opportunities on their own. Here's where to trust autonomous analytics and where you don't.
- Your Agents Will Leak. The Question Is Whether You Built for It.
AI agent security just moved from research footnote to product requirement. Here's what DeepMind, ServiceNow, and others found, and what to do about it.
- Your design stack is being rebuilt around agents, whether you asked or not
Figma, Adobe, and Notion are redrawing the design and productivity toolchain around AI agents. Here is what changed and what to do about it.
- Your AI Ships Fast. It Can't Tell You What's Worth Shipping.
AI output is fluent but taste-free. Here's what that means for trust, differentiation, and how your design team makes calls in 2026.
- Your AI Has a Focus Problem, and Now You Can Prove It
New research gives design and product leaders real language for the AI trust talk: attention limits, correlated errors, and a productivity backfire.
- The Day a Coding Model Got Banned, and Your Roadmap Got Riskier
The US banned Anthropic's Fable model overnight. Here's what the Fable ban means for any team betting on a single frontier AI model.
- AI Made the Fun Part Fast. Now Comes the Boring Part.
AI product work is shifting from UI tweaks to monetization bets, clean data migrations, and compliance you budget up front. Here's what changed and what to do.
- AI Found One Real Bug. It Also Made Up Three That Never Happened.
What MeasuringU's tests show about AI in usability testing, synthetic users, and the 30-participant myth, plus what to actually trust on your team.
- Your AI Dashboard Is Lying to You
Amazon's token-maxxing mess plus Benedict Evans on AI metrics: usage numbers are easy to game, so measure outcomes before you report progress up.
- The boring AI features are the ones shipping
Live translation, planning tools, OCR, and creator companions all shipped this quarter. Here's what is now table stakes and what to bring to your next review.
- Your AI Feature Isn't Done When It Ships. It's Done When You Know What to Do When It Breaks.
AI-ready design systems and a new definition of done for AI features. Here's what changed and what to bring to your next review.
- The $3.36 question: do you still need to rent your coding model?
GLM 5.2 and local coding models are cheap and good enough to switch. Here's what that means for vendor lock-in on your AI tooling.
- The Studios That Stopped Panicking About AI
Designers are treating AI and digital tools as craft partners, not threats. Here is what their material-first approach means for your team.