PinnedInTDS ArchivebyJulia Winn·Oct 27, 2024The AI Productivity Paradox: Why Aren’t More Workers Using ChatGPT?The Real Barrier Isn’t Technical Skills — It’s Time to ThinkA response icon48A response icon48
PinnedInTDS ArchivebyJulia Winn·Oct 2, 2024What Makes a True AI Agent? Rethinking the Pursuit of AutonomyUnpacking the six core traits of AI agents and why foundations matter more than buzzwordsA response icon17A response icon17
PinnedInTDS ArchivebyJulia Winn·Aug 9, 2024We Need to Raise the Bar for AI Product ManagersHow to Stop Blaming the ‘Model’ and Start Building Successful AI ProductsA response icon8A response icon8
PinnedInTDS ArchivebyJulia Winn·Jul 25, 2024What Exactly Is an “Eval” and Why Should Product Managers Care?How to stop worrying and love the dataA response icon5A response icon5
Julia Winn·Jun 16, 2025You’re Probably Using the Wrong AI ModelWhy sticking to one AI is limiting your results, with a task-by-task breakdown of which models actually work best for non-coding tasks.
InData Science CollectivebyJulia Winn·Jun 3, 2025The Foundational Work Behind AI Success Most Teams SkipI haven’t had a surprise after an AI product launch in over 5 years. Here’s why.
InBootcampbyJulia Winn·Oct 23, 2024How PM specializations shape the user experienceFrom Growth to Enterprise to AI: How different PM roles tackle user problems in radically different ways
InTDS ArchivebyJulia Winn·Aug 31, 2024The DIY Path to AI Product Management: Picking a Starter ProjectBuilding real-world skills through hands-on trial and error.A response icon3A response icon3
Julia Winn·Aug 15, 2024Google’s Gemini Olympics Ad Misstep: A Case for LLM-Powered Focus GroupsLeveraging Personas and Role Prompting to Anticipate and Prevent Marketing Disasters
InTDS ArchivebyJulia Winn·Mar 12, 2024I Made a Better Testing Plan for Google Gemini in Just 30 Minutes“We definitely messed up on the image generation. I think it was mostly due to just not thorough testing.” — Sergey Brin, referring to…A response icon1A response icon1