Recently, I paid attention to the TruthTensor project. What impressed me most is not how complex the feature design is, but that someone is actually using it, and quite frequently.

After the AI agent went live, they didn't stop there. Instead, they kept optimizing and adjusting, continuously following up on user feedback. According to data, users have made over 80 modifications in total. This number doesn't seem like a cold start during the trial phase; it more resembles a product that has truly found its reason for existence—users are willing to repeatedly refine and make micro-adjustments, indicating that there is actual demand supporting it.

This ongoing iteration, to some extent, reflects the vitality of the project. It's not a fleeting burst of popularity, but genuine user engagement. In Web3, projects with real application scenarios like this are often more likely to establish a lasting presence.