Traction does not prove that something works. It proves that something is being used.
In crypto and AI, the word "traction" is often used as a narrative shortcut. Users, transactions, calls, activity. The numbers grow and the story tells itself. But growing is not the same as working.
For agent-oriented projects, this distinction is even more critical. Agents can easily generate volume: they execute quickly, repeat actions, and do not get tired. The risk is in confusing mechanical activity with real adoption.
Reading metrics from Kite AI —or from any agent-first infrastructure— requires a different mental framework.
It is not enough to ask how many agents exist. You have to look at:
- How many operate under strict limits?
- How many execute granular payments instead of using open balances?
- How many humans delegate without constantly intervening?
These metrics do not inflate headlines, but reveal whether the system is solving the right problem: delegating autonomy without losing control.
From this perspective, traction stops being marketing and becomes an operational signal. This is where @KITE AI tries to differentiate itself, and where $KITE makes sense within a system that seeks to measure real usage, not just activity.
Image: Kite AI on X
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This publication should not be considered financial advice. Always do your own research and make informed decisions when investing in cryptocurrencies.
