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(and why the chime on my phone is my new coworker) A few days after John's talk at Stage: "One Person, One AI, One Product" (read it here ), I had an uncomfortable realisation: I've had a Claude Max subscription for a while, and I've never once hit the rate limit. I was using it like a tab I'd open only when I remembered. John's sharing planted a simple idea in my head: if one person can ship production-grade software without a team, the bottleneck isn't engineering capacity.

Last Friday, AI Speedup  and SQ Collective  hosted a session that brought together founders, GTM leaders and infrastructure leaders to discuss the reality of scaling globally in 2026. Key Speakers:   David (Wavespeed AI), Jack Chen (Akool) , Lusha Chen (Dify) , Ivan Tang (Zilliz) , and Sarah Wang (Moonshot AI/Kimi)  shared insights on enterprise video, open-source ecosystems, and vector infra. Panel Discussion:   “Where AI Globalization Actually Breaks — or Scales”  featured

Last Friday, John dropped a line that made half the room laugh and the other half go quiet: “Don’t talk to the engineers yet. Give the requirements to Claude. Let’s see what happens.” In November 2025, John ran the experiment with his team. He told his non-technical teammates exactly that. Two hours later, they had what used to take four engineers a full multi-week sprint. That moment changed how he builds software, and it might change how you think about it too. The setup: P

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