Space Review | AINFT Reshapes AI Experience with Web3 Infrastructure, Creating an Open and Autonomous Productivity Portal

The market fluctuates and narratives rotate, yet one domain consistently maintains solid discussion heat and user growth: Artificial Intelligence (AI). Unlike the past, the current wave of AI enthusiasm is shedding its conceptual halo, gradually solidifying into a tangible, productive force. An increasing number of users are beginning to use AI to assist with work, spark inspiration, and handle daily tasks. This shift is not only due to technological maturity but also signifies AI's transition from being "admired from afar" to being "actively used." However, technology adoption is always accompanied by barriers such as high costs and difficulty in model selection, creating multiple hurdles for ordinary users during their experience.

It is precisely against this backdrop that AINFT attempts to address these issues by leveraging Web3 infrastructure, officially launching its AI aggregation platform. It does not tell grand, disruptive stories but focuses on a more concrete mission: how to transform powerful AI capabilities, through innovations in mechanisms and user experience, from cumbersome constraints into a more controllable, fluid, and trustworthy daily companion, thereby fostering the development of an open and autonomous new ecosystem.

Based on this, a discussion focusing on "how ordinary users can truly make good use of AI" has emerged. This X Space roundtable, co-hosted by the Sun Wukong ecosystem and AINFT, starts from the perspective of ordinary users and invites industry KOLs to explore: why AI has once again become a main theme in the volatile market, and how AINFT, through innovative mechanisms such as "wallet-as-account," free trials, multi-model integration, and on-chain micro-payments, truly realizes the inclusive vision of AI tools being "ready-to-use out of the box." The following is a recap of the highlights from this conversation. 

From Capital Narrative to Value Application: Why Can AI Carve Out a Main Theme in a Volatile Market?

Against the backdrop of recent cautious overall market sentiment and funding pressure, attention on the AI sector has not decreased but rather increased. Multiple guests analyzed the core logic behind this phenomenon from different angles, generally agreeing that this is not a simple rotation of market hype but is driven by deeper structural changes.

Firstly, from a market attention perspective, AI's "certainty" has replaced its "imaginative potential." Several guests pointed out that the current market environment is undergoing a "sifting of the genuine from the fake." Mr. Misi believes that projects relying solely on narratives are unsustainable, while AI demonstrates the feasibility and resilience to genuinely empower enterprises in reducing costs and increasing efficiency, thus becoming a value anchor capable of weathering cycles. Anna Tangyuan further provided key evidence from the user side: AI already possesses a massive real user base, deeply integrated into daily scenarios from learning to work. Market choices are becoming extremely pragmatic, and capital naturally flows to areas capable of "independent value creation."

Peter from the crypto circle and Moyu supplemented this from a capital logic perspective. They believe that, regardless of bull or bear markets, capital always chases the most creative directions. AI attracts "smart money" pursuing long-term value. The investment trends of leading institutions and the popularity of consumer-grade AI products jointly strengthen market confidence in making long-term allocations to the AI track.

Focusing on the track itself, the guests pointed out the fundamental differences compared to the previous narrative cycle, which can be summarized in three points:

From "Point Tools" to "Workflows": Guest HiSeven accurately summarized this as a shift from "looking at AI" to "using AI." AI is no longer an app that needs to be opened separately but is embedded into various software and processes like utilities.

From "Model Competition" to "Ecosystem Integration": Mr. Misi pointed out that the industry is moving towards infrastructure-ization and protocol-ization. Standards like MCP (Model Context Protocol) allow AI models and Web3 tools to be assembled like Lego bricks, greatly enhancing the composability of the ecosystem. Moyu also emphasized: "The centralization and platform-ization of AI functions is a clear trend. Users need an integrated platform capable of handling multimodal tasks, not multiple isolated tools."

From "Hype Asset" to "Value Creation": Niuiu mentioned in the discussion that AI's "way of making money" has changed. The market's focus has shifted from token prices to whether it can truly create productivity and compress work cycles. Practical applications in AI writing, programming, design, and even financial analysis have made it a measurable-ROI productivity partner.

In summary, the core of this AI resurgence lies in its crucial leap from "conceptual narrative" to "application adoption." It is not only a track worth investing in but also a real tool reshaping workflows and business models. This "application certainty" constitutes its unique and solid appeal in a complex market environment.

Aggregated Gateway, On-Chain Payments: AINFT Crafts Seamless AI Experience with Web3

As AI capabilities grow increasingly powerful, the gap between ordinary users and these capabilities remains evident: complex registrations, rigid subscriptions, fragmented tools, and daunting payment processes. During the discussion, HiSeven, combining his deep personal experience, precisely dissected these pain points and shared the pragmatic solutions provided by the AINFT AI aggregation platform.

First, there are the issues of "difficult onboarding" and "high decision-making costs." HiSeven pointed out that traditional AI services require users to repeatedly go through email registration, password management, and even binding overseas payment methods—cumbersome processes that can deter many potential users. The AINFT AI aggregation platform fundamentally reshapes the login experience by leveraging Web3 wallets (like TronLink) to achieve "one-click signature," simplifying complexity. Simultaneously, the platform integrates multiple mainstream large models in a one-stop manner. Users no longer need to jump between multiple websites and apps; they can freely switch and achieve mutual collaboration within a unified interface, significantly reducing the hidden costs of model selection and trial-and-error.

The significance of this transformation extends far beyond simplifying operational steps. It essentially liberates users from the trivial management of "finding and switching tools," allowing their workflows to remain continuous and focused. When a creative task requires switching from copy generation to image creation, or from code writing to data analysis, users no longer need to interrupt their train of thought or switch platforms. Instead, they can fluidly invoke the most suitable AI capabilities within the same context. This seamless, task-centric experience is a key step in transforming AI from an "isolated function" into a true "productivity pipeline."

Secondly, there are the core pain points of "inflexible payment models" and "high payment barriers." Traditional AI services often adopt monthly or annual subscriptions, requiring users to prepay for fixed periods for uncertain or potentially low-frequency usage needs, easily leading to idle funds and waste. The AINFT AI aggregation platform introduces key innovations here:

1. "Try Before You Buy" Experience Design: New users receive 1 million free credits upon registration, sufficient for fully exploring various features without needing to make an immediate payment decision.

2. Flexible "Pay-As-You-Go" Payment: The platform supports micro-payments using various assets on the TRON chain (such as USDT, TRX, and specific NFTs), truly achieving "pay for what you use." This method aligns with the high-frequency, fragmented usage patterns of AI tools, completely freeing users from the捆绑 and waste of long-term subscriptions. Users who recharge with NFTs receive an additional 20% credit bonus.

AINFT's practice demonstrates that its core advantage is not pursuing the performance极限 of a single model, but rather reshaping the user experience flow through the combination of product mechanisms and Web3 payment capabilities. It strives to make powerful AI capabilities摆脱繁琐的束缚 and become readily accessible. This marks an important shift in AI services from being "model-centric" to being "user-flow-centric," allowing technology to truly adapt to human habits, not the other way around. For users, this provides a zero-friction starting point. From here, AI will no longer be a tool that needs to be "used," but a naturally extended interface for thought and productivity.