The idea of modularizing AI capabilities has been underestimated in its significance for ecosystem development. Instead of pursuing comprehensive functionalities, it’s better to break down AI's intelligent generation, content summarization, and automated operations into directly callable modules, allowing project teams to integrate quickly. For creators, this directly improves productivity; for the entire ecosystem, it consolidates high-frequency needs into reusable infrastructure.

Why is the TRON ecosystem suitable for this model? The low cost and high-frequency interaction characteristics naturally match the demand scenarios of AI workflows. With high call density, short feedback cycles, and iterative processes, as long as these capabilities are stable and easy to access, with smooth collaboration at each stage, AI will evolve from a mere "concept hype" into a foundational infrastructure used daily. Once integrated into daily life, it will continuously generate measurable real-world results across more application scenarios. This is the true path to ecosystem upgrading.