We have always believed that code is law, until real business disputes occur. When you try to explain to a traditional judge who doesn't even understand what a private key is how oracle deviations lead to liquidations, the cross-dimensional communication cost can make you feel hopeless.

Especially in the current Agent economy era. When you authorize funds to fully autonomous AI agents to execute arbitrage, and they incur losses due to logical hallucinations violating risk control protocols, the existing legal framework is completely ineffective. You simply cannot serve a court summons to a piece of Python code deployed in the cloud.
Traditional courts are built on geographic jurisdiction and an extremely slow human timeline, which is irreconcilably misaligned with the on-chain execution logic of AI agents calculated in milliseconds. This infrastructure gap is precisely the blank space we are attempting to reconstruct.
Economic activities between agents require a purely internet-native dispute resolution model. It abandons the cumbersome procedures of real-world courts, using underlying transaction hashes, API call records, and smart contract states as hard evidence for breach of contract.
As autonomous agents begin to take over market liquidity on a large scale, what we need is an on-chain arbitration layer capable of reading code logic and reaching verification consensus at lightning speed. A trustless judicial infrastructure is far more valuable than deploying another hundred uninspired public chains.
Take a look at your current holding logic: if your automated trading agent suddenly violates your preset parameter limits tomorrow, besides watching your principal erode, do you currently have any fallback arbitration pathways?