The web was designed for humans. Agents arrived without permission.
The Internet operates on an invisible assumption: there is always a person on the other side. Forms, wallets, permissions, and payments are designed for someone who reads, decides, and signs.
AI agents break that assumption.
An agent does not interpret context: it executes instructions. It does not trust: it operates under rules. When we try to force it into human infrastructures, silent frictions appear: overly broad permissions, inefficient payments, fragile identities, and limited traceability.
Kite AI starts from an uncomfortable but necessary question: what happens if the base layer assumes from the start that the one acting is an autonomous machine?
The proposal is not an app or an isolated feature. It is an L1 designed for the agentic economy, where the identity of the agent is separated from that of the human who delegates, permissions have defined scope and expiration, and payments can occur at the action level.
The useful metaphor is not "banking for AI," but automated customs. Each agent crosses economic borders thousands of times a day. Without native controls, the system becomes insecure or inoperable.
That's why Kite introduces programmable restrictions, viable micropayments, and protocol-level traceability. Not as a future promise, but as a foundation for agents to operate without friction or constant supervision.
This is the type of problem that @KITE AI attempts to solve from infrastructure. And it is there where the role of $KITE makes sense within the economic design of the system.
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.
