Good evening. When many people hear the term AI oracle, their first reaction is to think of technical details like models, nodes, and validation—things that seem to only matter to developers. But as an ordinary user, you don't need to understand these concepts first. Instead, you should ask yourself a more practical question: **What on-chain mechanisms are used to confirm that an event actually happened?**

Think about every transaction you make on the chain; ultimately, they all depend on the "facts." Whether your position gets liquidated depends on whether the liquidation threshold is triggered; whether an RWA project truly has sufficient reserves depends on verification; whether a prediction market should settle hinges on whether the event outcome can be verified; even whether a project team has made a certain promise is a "fact" that needs confirmation.

This is where AI-enhanced decentralized oracles come into play. Their core capability is quite straightforward—transform news, social media, and various complex documents into structured, verifiable on-chain data, enabling smart contracts to understand and utilize "real-world events." It may sound like cutting-edge technology, but this ability has a key significance: it turns originally controversial matters into results that can be automatically settled.

The more you look at it from the perspective of real-world events, the more you realize that the value of this technology isn't about sophisticated tech per se, but about transforming fuzzy disputes into transparent settlement mechanisms.

Later, we can discuss how to identify which real-world events are most suitable for oracle integration, how to judge whether an event can be verified, and how benefits are distributed after settlement—these are the thought frameworks you need to distinguish truth from falsehood and assess risks when encountering trending news in the market.