Multi-Agent Systems Fail When Causality Stops Being Shared
In multi-agent systems, mistakes don’t stay local.
One agent mislabels noise.
Another escalates it.
Another restructures everything.
Another executes unnecessary changes.
The system doesn’t crash —
it drifts.
This happens when agents don’t share the same causal reality.
KITE AI gives them that shared foundation.
Every agent interprets time the same way.
Costs behave consistently.
Order reflects true causality.
So errors move through the system correctly —
not explosively.
That’s how coordination survives at scale.
KITE
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