Peter Day — super{set}
Peter Day — super{set}
Peter Day shares how Superset approaches company building in the AI era. From investment strategy to supporting technical founders, the discussion highlights what it takes to back and scale AI-native startups today. A thoughtful look at venture, operators, and long-term conviction in AI.
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The Daylight Principle in Agentic AI. What Is It and Why is it Critical? AI’s Context Challenge. In the previous post in our Augmented, Not Artificial series, we argued that the shift from rigid SaaS to adaptive, intelligent platforms represents the most consequential evolution in enterprise software since the cloud. But recognizing that shift is the easy part. Realizing its benefits is harder.
A non-engineer builds a playful AI-powered app in minutes, showing that modern tools make speed, creativity, and product-building accessible to anyone.
In the first article on our Augmented, Not Artificial series, we observed that the biggest barriers to realizing agentic AI’s potential in the enterprise are cultural, not technical. The models are ready. The infrastructure is ready. What isn’t ready is how most orgs think about software, ownership, and performance.