“Note: This is part of the product creator series of articles, based on the overview article, The Era of the Product Creator. This series is intended for anyone that wants to create a successful product, whether or not the person has had professional training or experience in product management, product design, or engineering. In a... The post Prototypes vs Products…”
Teresa Torres explains how she stopped re-explaining her business to AI tools by giving Claude Code a persistent, file-based memory. Instead of uploading context into chats or web Projects, she stores knowledge in local…
Crazy Egg's team tested 19 AI website builders by generating 51 pages (product, course, and local service pages) and scoring them against 60 criteria covering usability, conversion design, and SEO. The author finds AI…
Teresa Torres and Petra Wille examine whether the wave of AI prototyping tools (Replit, V0, Bolt, Lovable, WindSurf) genuinely helps product discovery work. They argue these tools can rapidly produce interactive…
Julie Zhuo's paid essay looks at playful, seemingly pointless things people build with AI when no one is tracking the hours or demanding a business case, such as an unusual bird display, a talking phone, and a game…
Teresa Torres reflects on 2025 and lays out her 2026 roadmap, framed around the idea of 'just now possible' enabled by generative AI. She describes building AI coaches and tools, sunsetting her cohort-based Deep Dive…
The essay opens with an anecdote about a journalist's first impressions of a notable figure, using it as a jumping-off point to ask what humans should use their minds for as AI takes on more cognitive work. It frames…
Teresa Torres describes the problem of sharing AI context files and Claude Code skills across multiple personal devices and with a colleague. She walks through why Dropbox, iCloud and git each fell short, mainly because…
Teresa Torres argues that Claude Code can become a powerful personal operating system for non-technical people, but only if users understand the risks of giving a language model access to their computer. She walks…
Marty Cagan argues that the scarcest resource for product people is effective coaching, since most managers lack the time or skill to provide it, and that foundation AI models configured with good instructions and…
Teresa Torres and Petra Wille discuss a trend on LinkedIn of generating Opportunity Solution Trees with AI, including tools that promise instant user insights from synthetic personas. They argue that product teams…
Lenny Rachitsky and researcher Noam Segal interviewed over 30 tech professionals about using AI in job hunts and found the strongest candidates built personal feedback loops with AI. The post packages those techniques…
This episode of Just Now Possible features Rhea's Factory's co-founders discussing enzymatic plastic recycling, a biological approach that breaks plastic polymers back into their original monomers rather than merely…
John Cutler examines the sudden enthusiasm for measuring "return on tokens" as AI usage grows inside companies. He argues that vendors and executives eager for clean numbers are reaching for yet another proxy, much like…
Lenny Rachitsky interviews Johnny Ho, co-founder and head of product at Perplexity, about how a fast-growing AI search company builds product with a very small team. Perplexity uses AI to answer its own operational…
Teresa Torres introduces a new series, Conversations with Claude, showing how she uses Claude Code for real work. Her first example is a content audit of Product Talk, which she delegated to Claude with a task file and…
Julie Zhuo's short essay, titled "I am an idiot," reflects on intellectual humility in an era when AI systems can seem to know more than we do. The piece is framed as personal notes rather than a formal argument, using…
Teresa Torres and Petra Wille argue that confident predictions about AI-driven change are often wrong, and that betting everything on one forecast is risky. Humans are poor at forecasting, and early adopters' experience…
Teresa Torres recounts how a worm known as Mini Shai-Hulud, which spread through popular JavaScript packages in May, pushed her to rethink the security of her AI-assisted building. She explains that most malware follows…
Marty Cagan argues that product teams often conflate empowerment and autonomy, and that the two should be considered separately. Empowerment means a team can choose how to solve a problem, while autonomy means it can…
Marty Cagan's first published article, from a 1986 HP Journal issue, is a technical overview of Hewlett-Packard's internal AI Workstation research program and its first product, a Common Lisp development environment. It…
John Cutler reflects on the growing role of AI in product and team work, framing it as something that can play several supporting roles: a scribe that captures notes, a thought partner that challenges ideas, a tool that…
Marty Cagan introduces a re-recorded audio edition of INSPIRED and reflects on how the book has held up since its 2007 and 2017 editions. He argues its focus on underlying principles rather than current process is why…
Lenny Rachitsky and Peter Yang distill tactics from AI-forward companies like Shopify, Ramp, Zapier, Duolingo, Intercom, and Whoop on driving employee AI adoption. The core argument is that the main barrier is…