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Trust in AI Isn’t Magic. It’s actually just expectation Alignment. Ask ten people how they feel about AI and you’ll get everything within the range from “this is AGI, we’re cooked” to “it’s all hype, my grandfather does this better.” Underneath all of that noise, there’s one simple idea that spells out whether people trust what you’re building: Trust = expectations and reality are in sync. In this week's Stage @ our Co-working Friday, Jeremy Soo , founder of emotional AI star

During SQ Collective's Stage session this week, which is a part of our co-working Friday: "The bad news is no one knows about their pricing. The good news is there's a way to think about it." Mohammed Sebti , former Simon-Kucher consultant turned startup mentor, dropped truth bombs at our recent Stage session on Pricing Strategy . Here's the reality for most of us building products: We guess. We look at a competitor, undercut them by 10%, and pray. Or we take our costs, add a

On The Stage this week, Henry from Smithery  said something that broke the whole conversation open: "We have a bit of a Claude Paradox. You have models that have big brains but no arms and legs." They can write a sonnet, but they can't check your calendar. They can solve math problems, but they can't ping your team on Slack. That’s where the Model Context Protocol (MCP)  comes in. And if you’re a builder, this is the part where you stop treating AI like a chatbot and start tr