I recently tried a new AI tool, hoping it would help me accomplish one thing—find the cheapest cloud storage options, negotiate prices, and complete registration.

I have to say, it performed really well at the beginning. The search speed was fast, it uncovered providers I wouldn’t have thought of myself, and the emails it generated were very appropriate. But when it came to making the payment, it completely hit a wall.

The AI simply couldn’t handle credit cards, let alone spend a few dollars to finish the task. That moment made me realize how fragile the so-called "autonomy" really is—whenever funds are involved, all intelligence must give way to manual operation. It’s truly frustrating.

In fact, this is a common problem many AI agents face. Kite AI approaches this very practical and annoying dead end from a different angle.

It doesn’t pile up tricks in the algorithm; instead, it redesigns the entire underlying architecture. This is a from-scratch Layer 1, with a very simple goal: to enable AI agents to operate autonomously, but in a way that is safe, controllable, and rule-based.

The idea is straightforward. You create a main account, assign sub-accounts to different agents, and clearly define boundaries for each—such as this agent can spend up to $300 per month on storage, another can only spend $50 on API calls, and some are outright prohibited from making payments. The rules are fixed, and the agents can only operate within this framework.

Using stablecoins as settlement tools, transfers are quick; high-frequency operations are conducted off-chain for efficiency, with only key nodes recorded on-chain; identities are verifiable, and every operation is traceable. The entire design aims to solve a core need: giving AI sufficient autonomy while ensuring humans retain full control over the flow of funds.