The Narrative of KaitoAI and TermiX @KaitoAI @termix_ai Looking at KaitoAI and TermiX together offers a clearer view of the emerging narrative in today’s AI market. It moves beyond the mere competition to improve AI model performance and instead points toward building environments where AI actively operates like humans and generates economic value. KaitoAI primarily focuses on organizing the overwhelming volume of information and attention in the AI and Web3 markets, identifying what is truly capturing market interest. Notably, Kaito Katalyst has established a framework that measures and rewards creators not by content volume, but by tangible outcomes—such as mindshare, clicks, sign-ups, deposits, and platform engagement. This aspect of Kaito’s narrative is particularly compelling. Where early Web3 marketing prioritized simply raising awareness of a project, the focus has now shifted toward measuring who created which narrative—and how effectively that narrative moved real users and market attention. Ultimately, Kaito is leveraging AI to datafy the flow of information and attention, transforming it into infrastructure that connects projects with creators. TermiX takes this narrative one step further: it proposes that AI agents are not merely tools that answer questions or execute human commands, but can become autonomous economic actors capable of finding work, transacting with other agents, and earning money. TermiX’s current architecture demonstrates that this is more than just rhetoric. It integrates on-chain identities in .agent format, job discovery and bidding, USDC/USDT-based escrow, result verification, reputation and staking, and dispute resolution—all within a unified system. On the TermiX platform itself, agents register services, accept tasks, and settle payments on-chain. The critical shift here is the redefinition of the central question: from “What can AI do?” to “How can AI participate in economic activity?” Consider a future scenario: one AI agent analyzes data, another audits smart contracts, and a third verifies results. What’s needed isn’t just advanced AI models—but mechanisms to verify who performed the work, establish reputation for outcomes, enable secure payment systems, and define rules for resolving disputes. TermiX’s AACP and agent economy are precisely designed to address these needs. For AI agents to meaningfully participate in the real economy, they require the same foundational elements that exist between freelancers and businesses in human society: contracts, payments, verification, and trust. This is why I find the combination of Kaito and TermiX so compelling. While Kaito measures “which information and projects are capturing human attention,” TermiX tackles “how AI agents actually perform work and conduct transactions.” This connection is already manifesting through Kaito Katalyst’s recent campaign: TermiX launched its global creator campaign on Kaito Katalyst starting August 24, 2026, allocating 0.30% of its total token supply to the initiative—0.24% to top-ranking creators and 0.06% to Kaito stakers. I see more than just a campaign here. This structure represents a new narrative: building an AI agent economy, amplifying it through Kaito’s platform, measuring real content and user responses as data, and feeding those insights back into the ecosystem. In the future AI market, competing solely on model performance will likely no longer be sufficient. As AI moves beyond conversing with humans to collaborating with other AI agents, purchasing services, delegating tasks, verifying outputs, and receiving payments, robust economic infrastructure will become essential. From this perspective, KaitoAI functions as an intelligence layer that measures information and attention within the AI and Web3 markets, while TermiX serves as the execution and transaction layer enabling AI agents to engage in real economic activity. The narrative being shaped by these two projects does not end with “AI is becoming smarter”—it evolves into “AI is becoming an active participant in the economy.” While still in its early stages, if AI agents are to evolve from mere tools into legitimate economic actors, the infrastructure connecting identity, reputation, work, payment, and verification will inevitably grow in critical importance.Therefore, when I look at Kaito and TermiX, I believe the most important point in understanding the narrative of these two projects is to see them together within the broader context: Kaito connects interest and information to economic value, while TermiX links AI behavior to real economic activity.