The WAIC, more popular than ever, saw crowds surging on-site. Amid impressive humanoid robots and AI heavyweights such as intelligent computing infrastructure and liquid-cooled servers, the most intriguing black technology accessible to the public was the Agent.

This year, WAIC witnessed the debut of Agents capable of implementation and taking over KPIs for workers. For instance, at the "AI Productivity Wonderland," I personally tested "building an Agent in one minute."

During sales promotions, many enterprises face limited customer service resources. New representatives struggle to handle massive inquiries, impacting order conversion. The challenge lies in enhancing customer service quality and efficiency. I simply described the need: "You are an intelligent customer service assistant, responsible for answering customer questions based on documentation." I then uploaded a product documentation. Without writing a single line of code, I created an AI customer service agent that instantly responded with professional information.

The Agents at the Wonderland are indeed unique. Firstly, they are user-friendly, allowing even tech novices to customize their digital colleagues easily. Secondly, they are functional, unlike many Agents that fail to deliver results and only pretend to be busy, serving merely as emotional support. The BetterYeah Agents at the AI Productivity Wonderland actually work, taking over KPIs and handling complex tasks in the workplace.

Upon inquiry, I learned that BetterYeah, the creator of the Wonderland, is one of China's earliest enterprise-level AI Agent platforms, serving giants like Lenovo, Belle, and Ecovacs. It recently received over 100 million yuan in funding led by Alibaba Cloud (also the largest single investment in China's Agent sector), becoming a prominent member of the "Alibaba Zoo."

However, a brief experience at WAIC cannot determine the final verdict. Let's delve into the secrets behind BetterYeah's Agent creation.

Like top AI summits, some demos appear cool but impractical. For example, the overseas AI hardware AI PIN, hyped two years ago, is now neglected. The Agents occupying nearly half of WAIC are bound to face the test of time and be weeded out.

A sober view of the Agent fever at WAIC reveals that the core bottleneck restricting the implementation of enterprise-level Agents lies in the inability to achieve true end-to-end integration.

During the initial development stage, efficiency issues are severe. Demos take a week to create but fail to be effectively utilized within six months. It takes months to sort out complex workflows, followed by weeks of development customization, often requiring an outsourced team for over half a year. This low development efficiency directly increases the enterprise's cost of trial and error and time investment.

In the later deployment and application stage, when Agents are introduced into actual business scenarios, they often lack a deep understanding of the enterprise workflow. Employees need to guide the Agents step-by-step, like mentoring interns, which is often slower than doing it themselves. As a result, Agents fail to embed into the enterprise's core business processes and create tangible value.

Agents lacking practical value inhibit enterprise customers' willingness to pay. Coupled with the long cycle and high cost of customized development, this creates an industry dilemma that is difficult to replicate on a large scale.

BetterYeah has garnered significant attention because it has completed the end-to-end closed loop of enterprise-level Agents, from tools to results, and from "rapid development" to "pragmatic implementation." Not only can it quickly build Agents but also embed them into enterprise operations to actually work.

After in-depth understanding, I learned that BetterYeah's Agents are not just at the WAIC exhibition booth but have already been deployed in physical retail, e-commerce, and other stores.

For example, Belle Group has launched over 800 AI applications for business sub-nodes on the BetterYeah AI Agent development platform. AI assistants for inventory automatically monitor stock, and store AI assistants help with store operations. During the Double 11 shopping festival, an e-commerce brand built a customer service Agent based on the BetterYeah platform to assist over 300 customer service representatives in handling the peak of e-commerce inquiries, reducing customer service response time from 3 minutes to 8 seconds, achieving a leap in productivity.

At this year's WAIC "Startup and Investment Forum," an investment institution predicted that in the next 12-24 months, Agents will transition from "tool assistance" to "task undertaking," with the first batch of true "AI employees" entering enterprises to widely participate in core processes such as customer service, sales, operations, and R&D. These AI employees will possess abilities such as collaborative work, proactive feedback, and OKR undertaking, driving the transformation from cost tools to value creators.

Clearly, BetterYeah is already one step ahead, truly creating value in enterprise processes. This is perhaps the logic behind BetterYeah attracting investment from Alibaba.

You must be curious about what BetterYeah has done to achieve such results?

A practical Agent must escape the dilemma of "only suitable for trials, not practical use" and truly enter the core processes of enterprises, completing the transition from "tool" to "combat effectiveness."

So where do most Agents get stuck? Firstly, they are new and lack proprietary knowledge and business experience of the enterprise, like new employees in the workplace, slow to get started and inefficient. Secondly, they are isolated and cannot connect to the enterprise's OA, ERP systems, making them like shadow employees in the team, visible but unable to help, and even posing potential data security risks, making it difficult for enterprises to trust them.

How can Agents integrate into the workplace and truly undertake valuable tasks? BetterYeah's path is clear and may provide inspiration for the industry.

The first step is pre-employment training.

During the development stage, the development barriers for Agents are lowered, allowing them to quickly understand their roles and task logic, like well-trained new employees "rapidly taking up their posts" to solve the problem of "whether they can be used."

Through BetterYeah AI's enterprise-level AI Agent development platform, you can describe and upload a knowledge base with one sentence, and the platform will automatically configure roles, prompts, plugins, and workflows, enabling the rapid creation of a dedicated Agent in less than a minute. It also supports workflow and code professional modes for quickly generating AI colleagues ready for work.

Furthermore, relying on the VisionRAG intelligent data engine, equivalent to professional training after onboarding, Agents can quickly learn the enterprise's multi-modal data and knowledge, acquiring expert experience, such as preliminary credit review rules in finance and return and exchange scripts in e-commerce, to undertake single standardized tasks.

The second step is "process integration."

Truly useful Agents must not only complete isolated tasks but also integrate into enterprise systems and business chains. The BetterYeah platform natively supports multi-system access, permission control, and multi-environment deployment, enabling Agents to act like employees, ensuring they "understand processes and can execute" and become a part of the process chain.

The third step is "collaborative onboarding."

BetterYeah also provides multi-agent collaboration mechanisms, as well as MCP, A2A, etc., allowing multiple Agents to cooperate like a team, decompose tasks, and integrate results, achieving efficient collaboration and delivery of more complex goals.

This also lays the foundation for Agents to evolve from "single combat" to "digital teams."

A famous saying in the human workplace goes, "If you can't lead a team, you'll work yourself to death!" The same applies to more advanced Agents. BetterYeah's upcoming new generation of enterprise-level Agents, Nova Agent, is entering a new stage of "digital teams."

It will evolve towards an interaction mode closer to real-life team communication, not only executing mechanical instructions but also understanding complex and ambiguous requirements. Operationally, it is more concise and user-friendly, significantly improving the efficiency of multi-agent development. Collaborative capabilities will also achieve a qualitative leap, with Agents truly cooperating closely like a team.

From capable assistant roles to business-savvy AI colleagues and then to collaborative digital teams, BetterYeah's product evolution path is like an AI career advancement story, clearly demonstrating the roadmap for Agents to integrate into business cores.

This is not only a leap in product capabilities but also an important signal that AI is truly transitioning from an efficiency tool to a value creator.

For enterprises, leveraging BetterYeah's low-barrier Agent development platform allows AI colleagues to quickly take up their posts, transforming AI from a cost item into incremental value on financial reports, extracting value from efficiency.

For individuals, as Agents take over repetitive tasks such as data organization and process follow-up, people can focus their energy on higher-value work such as creative planning and strategic thinking, achieving a leap in personal value.

For entrepreneurs, BetterYeah's AI digital teams can support the core operations of a startup, making "one-person companies" a reality rather than just a slogan. Entrepreneurship no longer relies solely on resource stacking but can be driven by creativity to improve efficiency, enabling rapid trial and error. Ordinary people can now pursue entrepreneurial dreams more boldly.

Agents represented by BetterYeah, which can truly be implemented in enterprise scenarios and generate direct value, are not just iterations of tools but drivers of enterprise productivity reconstruction.

WAIC has never lacked cutting-edge technology and cool AI toys, but how can technology become a dividend in the hands of ordinary people? After experiencing BetterYeah's products, I believe that truly cool AI is not dancing under the spotlight but working behind the scenes to help enterprises run their next growth engine.