Articles
- The Frontier Model Is No Longer Your Default
Shifting from large, general AI models to specialized, fine-tuned small models can significantly reduce costs and improve efficiency, especially for narrow tasks, while enhancing privacy and compliance for sensitive data handling.
- The Unicorn Class of 2026 Wants to Do Your Job, Not Sell You a Tool
The rise of outcome-based pricing models among AI-driven unicorn startups challenges traditional product strategies, urging teams to focus on delivering measurable results and rapid revenue generation rather than just providing tools.
- AI Made Design Faster; Now Prove It Made Design Better
AI's ability to rapidly generate design outputs shifts the focus from creation to evaluation, necessitating deliberate review processes to ensure quality and alignment with business goals, rather than just speed.
- The creative AI tools got fast enough to ship. Now what?
Recent advancements in AI tools, including partnerships and improved processing speeds, enable studios and product teams to shape and deploy faster, more reliable creative workflows, impacting timelines and enhancing user experiences.
- The Users You Never Booked for Research
Designing products with the needs of users juggling care responsibilities in mind can unlock new markets, as demonstrated by recent investments in AI tools for households and insights into creative mothers' challenges.
- Your Team's Real AI Question Isn't Which Tool, It's How They Work
AI-driven coding agents are reshaping product development by drastically reducing build times, prompting leaders to reconsider decision-making processes and focus on strategic judgment rather than routine tasks.
- Cheap Pixels Are Here. Now Decide What They're For.
Cheap image and video generators just landed. Ray on which AI tools belong in your workflow versus your product, and how to tell them apart.
- AI Does What You Meant, Not What You Wanted
AI in product management helps clear workflow friction, but it won't fix a broken team. Here's where it earns its keep and where it hides the rot.
- Your Agent's First Reply Is a Retention Decision
Default prompts, agent tone, and eval scores predict AI feature retention. Here's what the data shows and what to fix on your team first.
- Your AI Product Doesn't Behave Like Your Old One. Your Metrics Should Change Too.
AI product OKRs should measure what users do, not model accuracy. Here's how to write behavior-based key results and version-control your PM workflow.
- Your Best Reviewer Is Doing a Machine's Job on Friday Night
AI is splitting design system review into rules a machine can enforce and judgment only a human should own. Here's what to automate and what to protect.
- Your Team Can Ship a Prototype This Week. That's the New Problem.
AI coding platforms and agent frameworks make prototyping cheap and fast. Here is what that means for your roadmap and your next review.
- The AI vendors want to move into your building
Microsoft, Amazon, OpenAI, and Anthropic are all launching forward-deployed AI engineering orgs. Here's what it means for your roadmap and your lock-in risk.
- The Chatbot Is the New Front Door to Your Product
AI chatbots now send retailers their best-converting shoppers. Here's what the Prime Day numbers mean for your product and your roadmap.
- The five-person team that deleted its own process
Gusto shipped a product line in 10 weeks with no PM, no Figma, no Jira. Here's what actually changed about who does the work.
- The layoff memos blame AI. The hiring data says otherwise.
New hiring numbers show engineering holding up while customer-data and game studios cut staff. A clearer read on which roles AI augments versus replaces.
- Ford Hired the Gray Beards Back. Here's What That Tells You.
Ford rehired veteran engineers after AI missed its quality bar, and new research shows calling agents coworkers makes your team worse. Here's what to do.
- When Frontier Models Cost $55 for Life, What Are You Charging For?
Lifetime AI bundles selling GPT, Claude, and Gemini for under $70 signal model access is getting cheap. Here's what that means for how you price your AI feature.
- The real-world bet: AI is leaving the chat window
Investors are pouring billions into AI that moves, drives, and survives in the physical world. Here is what the shift to real-world AI means for your roadmap.
- Your Research Data Has Strangers In It
Survey bots, smart incentives, and baselines are the three levers that keep your user research credible when AI noise is everywhere. Here's what to do.