We’re overthinking AI chat history — just like Chrome did with web history. 20 years ago, Chrome indexed every page users visited and designed detailed UIs for them to explore it. But users didn’t care. They just searched again. Here's what AI tools can learn from this 👇 Chrome’s web history dataset was rich, personal, and full of possibility. Designers explored everything from subway-map visualizations, to timeline UIs, to GoogleReader-style feeds — imagining people would want to explore their own browsing history. When they realized it was just easier, faster, and more intuitive for users to search again, Chrome shifted course. Web history became infrastructure — powering suggestions, surfacing shortcuts, and tucked behind “Command + Y.” Today, AI teams are replaying this same debate and trying to “solve” chat history. But people don’t want to manage their chat history. They just want models to remember intelligently so that every conversation feels smoother, smarter, and more personal. History should live in the background, supercharging personalization, context, and recall across the core product. The best designed products weave history in when it makes sense, but focus on propelling users forward. Full post in comments.