At what point do we admit that all AI agent products are kinda similar: connect your email, calendar, docs, Slack, cloud, whatever. The agent will then extracts a ton of context about how you work, who you work with, how you communicate, what you care about to turn that into markdown memory files & then an orchestrator on top that learns your patterns and tries to reproduce them. The frontier isn’t really “chat” anymore. It’s proactive background agents. Users don’t prompt the AI. Agent notices something needs to happen and does the work on the behalf of the user. And underneath, a lot of it is surprisingly simple conceptually: give the model more context, give it tools, memory, and some cron jobs / triggers / routines. So the actual game is becoming: who can build the best memory, take the most useful actions, and do it while burning the fewest tokens. Because it’s actually pretty easy to build an amazing personal memory system if you’re willing to spend $100+ per user. The hard part is getting 95% of that quality for $5. The goal is the highest quality context and actions, lowest inference cost to get the highest gross margin.