.avif)
Your AI Stack Needs a Control Plane
Your AI Stack Needs a Control Plane
This article explores why modern AI systems need more than just models and prompts — they need a control plane. It breaks down how orchestration, observability, and governance become critical as AI stacks grow in complexity. A sharp read for teams building serious, production-grade AI infrastructure.
Tech, startups & the big picture
Subscribe for sharp takes on innovation, markets, and the forces shaping our future.
NEWS, BLOGS & ARTICLES
Let's keep in touch
We're heads down building & growing. Learn what's new and our latest updates.

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.

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.
