The AI service platform that AINFT has been preparing for a long time is finally launching, and it is currently entering the final testing phase. I think this timing is quite appropriate, as the market is in need of tools that can be practically used.

Its biggest highlight is integration. The platform combines various mainstream large language models and also offers comprehensive AI-related API services in a bundled package. This means that developers who want to add AI features to their Web3 products no longer need to piece together solutions from different sources; most needs can be met with a single platform. This one-stop design significantly improves development efficiency.
Especially noteworthy is the emphasis on “Web3 native experience.” This is not an empty concept; it indicates that they are building from the actual use cases of blockchain applications, rather than simply porting Web2 products over. Such underlying design considerations often determine whether the product can truly retain users in the later stages.
As is well known, the value of such platforms lies in the ecosystem. Once enough developers and projects start relying on its APIs and services, the entire network will grow like a snowball. We are currently in the early stages of combining AI tools with Web3 applications. Those who first provide a stable, user-friendly infrastructure are likely to establish a strong position.
Once it becomes a foundational service layer in the Web3+AI field, its potential is not limited to the platform itself but extends to the entire application ecosystem that may develop around it in the future. As the platform’s user base expands and application scenarios become richer, its first-mover advantage in the integration of AI services and Web3 ecosystems will continue to grow, and its long-term growth potential is worth looking forward to.