The biggest Achilles' heel of smart contracts is often overlooked—they cannot see outside the chain. Price fluctuations, data delays, information manipulation—these real-world challenges cause countless applications to fail. On the surface, it appears to be a business failure, but the root cause lies in information.

The APRO team comes from backgrounds in software engineering, distributed systems, data science, and AI, with experience in industries where data accuracy is a matter of life and death, such as finance and network infrastructure. They understand deeply: incorrect information is more deadly than no information at all.

The initial solution was slow and expensive, with no funding, no exchange listing, and no community buzz. But it was during this silent period that the team did the most difficult work—repeated testing, self-attack, and simulating crash scenarios. Every failure revealed new vulnerabilities, and every improvement brought them closer to robustness.

Later, they realized a reality: not all applications require the same data supply method. Some need high-frequency automatic updates, a continuous stream, while others only want on-demand data to reduce costs. Thus, the design supporting two data modes for APRO was born—not to sound complicated, but to truly adapt to diverse scenarios like DeFi trading, blockchain games, and physical asset on-chain data.

Introducing AI verification mechanisms follows the same logic. Each data source is scored, cross-verified, and challenged. This is not about chasing trends, but about adding a firewall to the system. When bad data tries to sneak in, a multi-layer scoring system can identify anomalies.

This is a product mindset that starts from the problem rather than from technology. Oracles should not just be data carriers but gatekeepers of truth.