AI agents need to truly exist on-chain, and the current Blockchain is actually quite awkward. Think about it, existing systems are basically designed for human users—Wallet signing, Gas fee payment, contract interaction; these processes are too cumbersome for AI. What does AI need? High-frequency, low-cost interactions, real-time settlement, seamless collaboration between agents, and a set of Programmability trust rules.

What’s more troublesome is the revenue-sharing issue in the traditional AI industry. You provide the data, I train the model, and he is responsible for execution. How should the value generated at the end be distributed? This accounting is simply impossible to clarify, and the contributions of the participants are often glossed over in a muddled calculation.

The entry point of Kite AI is here. It is not an ordinary EVM-compatible chain, but a modular Layer 1 network with subnet expansion capabilities. The key design is to treat AI agents as "digital individuals"—each agent has its own on-chain identity, can independently manage a Wallet, initiate payments, sign contracts, and even collaborate directly with other agents to complete tasks, all without the need for human intermediaries.

The most interesting aspect is its "attribution intelligent consensus." This mechanism can trace back the specific contributions of each participant—whether you are providing data, training models, or executing tasks as an agent— which can all be quantified and traced, and then transparently distribute the gains according to contributions. This completely solves the long-standing problem of "black box accounting" in AI collaboration and serves as the underlying logic for building a trustworthy AI economic system.

In terms of payment, Kite AI focuses on high throughput and low latency, specifically designed for high-frequency AI agents.