Beyond Evolving AI: What Can We Actually Build With It?

An Introduciton to the Application Landscape

24 June 2025

In our last series, we explored a vision for a new kind of AI — one that evolves, learns from a handful of examples, and even creates its own hypotheses. We moved from the philosophical problem of rigid, deterministic software to the concept of a "living" system built on Dynamic Executable Ontologies.

But a vision, no matter how powerful, is only as good as what it can create.

This new series is about bridging that gap. We will move from the "why" to the "what," exploring the practical, high-impact applications of the dEO paradigm across different industries. We’ll show how this isn't just an academic exercise but a practical framework for solving some of the most difficult and expensive problems in technology today.

How can this approach finally solve the nightmare of modernizing legacy software?

How can we shift software development from rigid, upfront blueprints to a more organic, "gardening" approach that lets products grow with their users?

How can a shared, dynamic model of reality allow specialized AI agents and robots to collaborate in ways that are currently impossible?

Over the next several posts, we will dive into these specific use cases and more, from enterprise software and personalized medicine to robotics and high-stakes command systems. We'll show how the principles we've discussed — unifying code and data, representing the world in layers, and enabling true evolution — are the keys to unlocking the next generation of intelligent systems.

Welcome to the dEO Application Landscape.

#AI #DigitalTransformation #Innovation #SoftwareArchitecture #FutureOfTech #CognitoOne #dEO