A conversation with engineers at the edge

The engineers and CTOs in this space have felt this before we named it.

The project that needed multi-day continuity and lost the thread. The automated workflow that drifted from the objective after twelve exchanges. The confident answer that turned out to be wrong in a way the system could not detect.

These are not edge cases. They are the architectural reality of deploying GenAI at enterprise scale.

Surface OS and Geode PRM exist because the problem is structural and the solution needs to be structural.

If you are working at the boundary of what current AI systems can reliably do we are interested in that conversation. Not to pitch. To understand where the edges are.

Drop a comment or connect directly.