When it comes to blockchain, many people will mention an obvious assumption: smart contracts execute automatically, the system is objectively trustworthy, and results are tamper-proof.

But developers who have actually worked on the chain know well—there is an ancient problem hidden here.

Contracts are actually "blind." They don't know about real-world price fluctuations, the authenticity of documents, or the outcomes of events, let alone understand the chaotic, slow, and contradictory real-world data. Because of this blind spot, oracles become the most critical link in the entire system.

The usual approach is to try to make the blockchain "understand the world." But APRO's idea goes against this—rather than forcing understanding, it's better to admit that reality is inherently chaotic. The dirtiest, most complex, and most error-prone tasks are simply handled off-chain.

How exactly? For example, when dealing with files, images, texts, legal documents, APRO uses multiple methods off-chain—OCR recognition, rule extraction, AI-assisted judgment—to break down, identify, and structure step by step. The key is to leave traces at every step, so they can be replayed and reviewed.

Only when this information has been cross-verified by multiple nodes and confirmed that "the entire story is clear" will it be officially submitted to the chain via cryptographic proof. On-chain, it's quite simple—verify signatures, check data integrity, then trigger the contract logic.

The core of this logic is actually very simple: the issue with data is not fundamentally technical but a matter of responsibility. Data put on the chain may involve clearing, compensation, or legal consequences—one cannot just upload it because it’s "close enough."