If blockchain is to serve artificial intelligence, the key lies not in 'putting models on the chain', but in providing automated entities with a verifiable identity, a controllable wallet, and a set of accountable rules. Kite's approach is very pragmatic: first, create an EVM-compatible Layer 1 aimed at agent payments, allowing AI agents to complete real-time settlements on the chain with a verifiable identity, and then program governance to embed permissions, limits, whitelists, and risk control hooks into contracts. It breaks identity down into three layers: user, agent, and session: the user is the legal owner, the agent is the empowered executor, and the session is a short-term, revocable operational window. The benefit of this approach is breaking 'irreversible long-term authorization' into 'reversible short-term delegation', so that if the agent's behavior is abnormal, the user can confine the risk in a small box through session-level limits, blacklists, rate limits, and revocation rights. The real-time scenario is Kite's focus: advertising bidding, data retrieval, API calls, edge inference, and content generation can all be paid per use or settled over time, and when agents call each other, the call chain is recorded on-chain, with costs and responsibilities being replayable. The KITE token initiates utility in phases: initially used for participation and incentives, aligning developers, data sources, and execution nodes; later, staking, governance, and fee functionalities will be enabled, binding security budgets, governance rights, and network usage to form a sustainable system. For developers, the EVM environment reduces migration costs, and agents' wallets, session keys, and settlement interfaces can directly reuse familiar toolchains; for enterprises, the three-layer identity combined with programmable governance transforms 'letting AI pay on behalf' from a black box experiment into a compliant and controllable production process.
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