Infrastructure in crypto increasingly lives at the boundary between human behavior and system design. What @tonsoai is implicitly testing is whether attention decay can be modeled before it becomes noise. With @Solstice_TG, @usetria, and @vault777casino active on the platform, Tonso isn’t just measuring participation at a point in time, but how quickly interest stabilizes or fades once incentives normalize. Solstice interactions tend to persist because they are anchored to balance sheets and risk expectations. Tria engagement follows habit loops tied to daily financial use. Vault777 shows sharp spikes followed by rapid cooling, driven by outcome cycles. Tonso’s signal layer has to register these decay curves differently, or the data loses meaning. This is rarely discussed, but it’s where attention systems usually break. If Tonso can retain signal clarity as behavior cools, not just when it accelerates, that would place it closer to infrastructure than growth tooling.