After experiencing too many pitfalls, I now have only one standard for choosing projects—look at the actual product, don't listen to stories. In this circle, there are many projects claiming AI+Web3, but few truly build AI-friendly architectures from the ground up.

Most so-called AI public chains are essentially existing chains with an AI skin; their TPS numbers can be impressive, but they fail to address hard requirements like memory for AI inference, long-term memory, and decision transparency. On the other hand, some teams are genuinely pursuing an AI-native approach—not patching it on later, but considering AI's actual needs from the infrastructure level—that's what I call "AI-ready."

What's more worth noting is that they have tangible products in operation. Long-term memory layers, decision transparency, automated operation frameworks—each feature is used in real scenarios, and the token circulation value isn't just supported by concepts. Recently, they've integrated cross-chain expansion into the Base ecosystem, doubling use cases. There's also a detail— they've developed a global compliant settlement solution, so the token isn't just stuck in the demo phase but can serve real economic activities.

The crypto space's quickest way to die is projects that only tell stories. Conversely, those that quietly focus on technology and steadily push for real-world implementation tend to last the longest.