Simerus Mahesh

Transcript Renato Losio: We will chat about the infrastructure challenge behind production AI. A couple of words about today's topic. AI, as we all know, has moved from experiments that we were doing probably a couple of years ago to now probably always on a system that runs whole business operations. As adoption grows, one of the biggest challenges we all face is no longer building just models, but as well how to run them in a reliable way at scale.

AI agents are starting to cross a line that feels small on the surface but is actually a massive architectural shift. They are taking actions like writing and executing code, calling APIs, interacting with files, and spinning up processes. The moment you let an AI system do things instead of just suggesting things, you inherit a completely different class of problems. That is where sandboxed execution stops being a nice-to-have and becomes a must have.