Space Review | AINFT Reshaps AI Experience with Web3 Infrastructure, Creating Open and Autonomous Productivity Entrances

The market fluctuates repeatedly, and narratives rotate accordingly, but there is one area that has always maintained solid discussion heat and user growth, and that is artificial intelligence (AI). Unlike in the past, the current AI craze is shedding the halo of concepts and gradually settling into a tangible productivity. More and more users are trying to use AI to assist with work, inspire inspiration, and handle daily tasks. This is not only due to the maturity of technology, but also means that AI is moving from being "looked up to" to being "used". However, the implementation of technology always comes with barriers such as high fees and difficult model selection, which pose multiple obstacles for ordinary users in their experience. Against this backdrop, AINFT attempted to address these issues by leveraging the infrastructure of Web3 and officially launched an AI aggregation platform. It does not tell grand disruptive stories, but focuses on a more specific mission: how to innovate mechanisms and experiences to free powerful AI capabilities from cumbersome constraints, transform them into a more controllable, smooth, and trustworthy daily companion, and promote the formation of an open and autonomous new ecosystem. Based on this, a discussion focused on "how ordinary users can truly make good use of AI" has emerged. The X Space Roundtable, jointly organized by Sun Wukong Ecology and AINFT, invites industry KOLs to explore from the perspective of ordinary users why AI has once again become the main line in the volatile market, and how AINFT can truly realize the inclusive vision of AI tools "out of the box" through innovative mechanisms such as "wallet as an account", free experience, multi model integration, and on chain small payments. The following is a wonderful review of this conversation. From capital narrative to value application: why can AI open up main market trends in volatile markets? Against the backdrop of cautious overall market sentiment and financial pressure in recent times, the attention to the AI sector has not decreased but instead increased. Multiple guests analyzed the core logic behind this phenomenon from different perspectives, and generally believed that it was not simply a market hype rotation, but rather driven by deeper structural changes. Firstly, in terms of market attention, the "certainty" of AI has replaced the "imagination space". Several guests pointed out that the current market environment is undergoing a process of "eliminating falsehood and preserving truth". Mr. Mies believes that projects that rely solely on narrative are difficult to sustain, and AI has demonstrated the feasibility and resilience of empowering companies to reduce costs and increase efficiency, making it a value anchor for crossing cycles. Anna rice dumpling further provided key evidence from the user side: AI has a huge real user base, deeply integrated into the daily scene from learning to work, market choices are becoming very realistic, and funds naturally flow to fields that can "independently generate blood". Peter and Moyu from the cryptocurrency circle added from the perspective of fund logic, they believe that regardless of the bull or bear, funds will always pursue the most creative direction. AI has attracted "smart funds" who pursue long-term value, and the investment trends of top institutions and the popularity of consumer grade AI products have jointly enhanced the market's confidence in long-term allocation of the AI track. Focusing on the track itself, guests pointed out the essential differences compared to the previous narrative, which can be summarized into three points: from "single point tool" to "workflow": guest HiSeven accurately summarized it as the transition from "watching AI" to "using AI". AI is no longer an app that needs to be opened separately, but is embedded in various software and processes like water and electricity. From "model competition" to "ecological integration": Mr. Mies pointed out that the industry is developing towards infrastructure and protocol based development. Standards such as MCP (Model Context Protocol) can enable AI models to be assembled with Web3 tools like Lego, greatly enhancing the composability of the ecosystem. Moyu also emphasized that "the centralization and platformization of AI functions is a clear trend, and users need an integrated platform that can handle multimodal tasks, rather than multiple isolated tools. ”From "hype targets" to "value creation": Niuiu mentioned in the discussion that the "way of making money" for AI has changed, and the market's focus has shifted from token prices to whether it can truly create productivity and compress work cycles. The practical application of AI writing, programming, design, and even financial analysis makes it a productivity partner with measurable investment returns. Overall, the revival of AI in this round lies in its key leap from "conceptual narrative" to "application implementation". It is not only a worthwhile investment track, but also a real tool that is reshaping workflows and business models. This' application certainty 'constitutes its unique and solid appeal in complex market environments. Aggregation entrance, on chain payment: AINFT uses Web3 to create a seamless AI experience. As AI capabilities become increasingly powerful, the barriers between ordinary users and it remain evident: complex registration, rigid subscriptions, decentralized tools, and daunting payment processes. During the discussion, HiSeven combined their own in-depth experience to accurately analyze these pain points and shared the practical solutions provided by the AINFT AI aggregation platform. Firstly, there are issues of difficulty in getting started and high decision-making costs. HiSeven pointed out that traditional AI services require users to repeatedly register their email, manage passwords, and even bind overseas payments, which is a cumbersome process and enough to discourage a large number of potential users. The AINFT AI aggregation platform fundamentally reshapes the login experience, using Web3 wallets (such as TronLink) to achieve "one click signature" and simplify complexity. At the same time, the platform integrates multiple mainstream models in a one-stop manner, allowing users to switch freely in a unified interface without repeatedly jumping between multiple websites and applications, achieving mutual cooperation and greatly reducing the implicit cost of model selection and trial and error. The significance of this transformation goes far beyond simplifying the operational steps. It essentially liberates users from the tedious management of "finding and switching tools", allowing their workflow to remain continuous and focused. When a creative task needs to switch from text generation to image creation, or from code writing to data analysis, users do not need to interrupt their thinking or jump to the platform, but smoothly call the most suitable AI capabilities in the same scene. This seamless, task centric experience is a crucial step for AI to transform from an "isolated function" to a true "productivity pipeline". Secondly, there are the core pain points of "inflexible payment model" and "high payment threshold". Traditional AI services often adopt monthly or annual subscriptions, which require users to pay a fixed period of fees in advance for uncertain or even low-frequency usage needs, which can easily lead to idle and wasteful funds. The AINFT AI aggregation platform has made key innovations in this regard: 1. "Try first, buy later" experience design: new users will receive 1 million free points upon registration, which is enough for users to fully explore various functions without making immediate payment decisions. 2. Flexible payment of "pay as you go": The platform supports small payments for multiple assets on the TRON chain (such as USDT, TRX, and specific NFTs), truly achieving "pay as you go". This approach fits the high-frequency and scattered usage habits of AI tools, completely breaking free from the bundling and waste of long-term subscriptions. If users recharge with NFTs, they can also receive an additional 20% point reward. The practice of AINFT shows that its core advantage is not to pursue the performance limit of a single model, but to reshape the user experience process through the combination of product mechanism and Web3 payment capability. It is committed to freeing powerful AI capabilities from cumbersome constraints and making them within reach. This marks an important shift in AI services from being "model centric" to "user process centric", allowing technology to truly adapt to human habits rather than the opposite. For users, this provides a zero friction starting point, from where AI will no longer be a tool that needs to be 'used', but a natural extension of thinking and productivity interface.