“Causal Stability: The Missing Ingredient in Multi-Agent Intelligence”
A single agent struggling with causality is bad.
But a network of agents struggling with causality is a disaster.
One agent misreads a delay → predicts a false risk.
Another agent reacts to that forecast → changes its plan.
A third agent checks their outputs → sees inconsistency.
Within seconds, the whole system is confused.
This is how entire AI systems drift without any bug in the model.
KITE AI ends this by giving every agent the same stable truth.
Same timing.
Same fee patterns.
Same event ordering.
Same causal structure.
When all agents see the same world, their explanations start aligning.
They reason together.
They forecast together.
They verify each other’s logic without contradictions.
It feels less like many small agents — and more like one powerful coordinated mind.
That is the promise of KITE.
