Haodan's explorations into this topic started with a question from a lead data scientist inside SAP, someone who should have had the least fear. He asked the visiting CAIO, “how can we stay on top in the age of AI?” That question from someone “working at the frontier” surprised Hao Dan, Lead Product Manager for one of SAP’s most successful AI products. In this week's session of The Stage, Haodan shared her thoughts on what she thinks is the recipe for differentiation in the

Six months. That is usually how long it takes. You build a clean demo. You walk the stakeholders through it. They are impressed. You leave the room with momentum and a follow-up meeting scheduled. Six months later, the product sits untouched. Not because it broke. Because nobody trusted it enough to keep using it. Bhavna opened her talk at Coworking Friday this way, and I recognised the room in her description. Most of us had watched this happen. Several of us from inside it.

It's 1:30 PM on a Friday and we're passing the mic around the room. I am sitting with builders researching emotional state in AI, a lawyer looking at knowledge graphs, performance marketers, and hardware design engineers. Yao Kai Jiang dials in from the US. It's 10:30 PM for him. He is the founder of Momen, a full stack application builder for non-technical founders. He frames the recent surge in prompt-to-app building as modality translation. He sees it as the process of tra

The room at SQ Collective is quiet, save for the hum of laptops and the occasional shuffle of chairs. At 1.30 the AI Labs came to life, and builders took turns stepping up to the screen to show what they have been hacking together over the past month. At SQ Collective, we organize these monthly demos to encourage everyone to move from vibe to real feedback. AI for Fashion, but one that actually understands you Yu Qing steps up first. She is building an AI styling and shopping

Mike Anderson, CTO of Covia Labs opens with a historical parallel: Back in the dawn of the industrial era, when people first harnessed electric power, there was no electricity grid. Factory owners built their own generators. They designed their own machines and figured out how to fuel them in isolation. It took time before the grid evolved and connected everyone. We are currently in the generator phase of artificial intelligence. Everyone is building their own self-contained

"Building has become super easy now," Matthew starts. "We can basically go to Codex and pull one, and we've brought out a POC in a few days." "What that means is that we are building software faster than we are figuring out how the business works right now." Today, the focus is the customer: customers, with daily pressures, existing solutions, and forces that shape how they behave. "We need to unbox our customers." The Person, The Problem, and The Context Matthew started off