The core problem we’re exploring is that AI agents are non-deterministic systems operating inside deterministic infrastructure.

Traditional systems assume actions run once.

Agents retry steps, re-plan tasks, and execute asynchronously.

That combination makes duplicate execution surprisingly easy.

Kybernis focuses on the execution boundary where agents trigger real mutations (payments, infrastructure changes, APIs).

Curious if others deploying agents have run into similar reliability issues.