Today's foundation models- Claude, ChatGPT, Gemini, or any of them- let a team build something real in a matter of weeks. The result is impressive enough that a fair question follows: why would you need anything else?

It is a question Lyric sat with too. These models are powerful, but a foundation model is a foundation, not the whole house. The more useful frame is no longer build versus buy. With agentic AI, building and buying together has become faster and more practical, and the real work is knowing where to build yourself and where a platform should carry you the rest of the way.

In this session, Lyric co-founders Ganesh Ramakrishna and Sara Hoormann work through the questions a CTO raises once the demo is over:

The real difference between a prompt's output and a decision you would run your supply chain on, and why foundation models are only part of it

Why supply chain math needs verified algorithms, not just a clever prompt

What an AI-native platform adds: the path from a single use case to connected decisions across your network

If you have built something impressive in your model of choice, join us to see how far it can really go, and what it takes to push it further.