Editor｜Cold Cat, Ze Nan
Surely no one has forgotten the "lobster farming" craze at the beginning of the year!
OpenClaw stood at the forefront, with GitHub stars surpassing 680,000 in just 72 hours, and "Have you raised lobsters?" became a common greeting among developers. Subsequently, over 30 vendors followed closely, and the "Battle of Lobsters" became busier than ever.
And then what?
On April 4, Anthropic officially severed OpenClaw's access to Claude's subscription quota, marking the first wave of cold water on the hype. Soon after, over 135,000 OpenClaw instances were found exposed online without protection, leading to frequent supply chain attacks; the National Intellectual Property Administration issued a safety warning; in July, ByteDance's Doubao and Alibaba's Tongyi were required to shut down personalized AI Agent functionalities.
AICPB data showed that OpenClaw's traffic in April fell by 50.67% month-over-month. There were more "withdrawal tutorials" in the community than usage tutorials. Even the recently updated OpenClaw 2.0 lost its shine.
The tide recedes, leaving only true gold.
China Unicom is one of them. Based on its self-developed Agent Harness foundation, it has rebuilt an AI smart body aimed at workplace scenarios — Yuanjing Digital Employee.
The Yuanjing Digital Employee is an upgraded iteration of the Yuanjing UniClaw, featuring sandbox isolation, data does not leave the network, out-of-the-box usability, and the ability to cover all task scenarios. These "hard work" capabilities that were overlooked during the hype period have become the most scarce after the tide receded.
To become a real "digital employee" is not an easy task.
Currently, various agents are of mixed quality. Can the Yuanjing Digital Employee genuinely take on tasks, or is it just another chatbox disguised as an Agent?
We look at efficacy rather than advertisements. Let’s throw it into several of the most common office tasks and see how capable this "digital employee" really is.
Practical Experience: What Can the Digital Employee Do?
Upon opening the Yuanjing Digital Employee, I found the main interface very user-friendly, simple, and easy to understand for users familiar with AI tools.
The capabilities covered are also very comprehensive, with two modes: office life andcode development, covering "office, research, entertainment, education, finance" across five business fields.
In each field, there are preset prompt templates for common tasks like documentation, data analysis, research, game development, and performance tuning, allowing every user to build prompts conveniently and easily.
The initial impression is good, let’s continue testing!
The version I am testing supports DeepSeek V4 Flash and GLM 5.2 models, with test cases all completed using the DeepSeek model.
Test One: Deep Research Handled in One Sentence
In the work scenario, publishing a demand often contains just one sentence, but it is followed by a complete series of workflows.
So in the first round, I opted to raise the difficulty, to see if this digital employee could start from one demand and run through a complete set of research processes by itself.
Test prompt: "Research the financing trends and major players in the AI Agent market for 2026, generate a research report containing data charts, and focus on analyzing the differences between China and the United States."
This test evaluates cross-capability module coordination: obtaining raw information from web searches, cleaning it to extract structured data, using data analysis capabilities to generate visual charts, and finally outputting a well-structured, logically complete interactive report. The entire process involves four modules: network searching, data analysis, deep research, and document generation; any link failing in the process would impact the quality of the final delivery.
Through testing, I found that the Yuanjing Digital Employee is very meticulous when completing in-depth research. During the information search process, it first conducts extensive searches and continuously cross-verifies the authenticity of the retrieved materials, which reassures me about the correctness of the results! The model's hallucination problems have troubled the world for long, who understands the gold content of reassurance!
In the process of building visual charts, the system showed its multimodal recognition capabilities. It confirmed if the results met expectations through screenshots and made targeted code adjustments based on image recognition results.
It finally produced a complete HTML formatted research report, divided into six sections, with detailed and rich content, concise and readable charts, and highlighted key points.
This task seems simple, but in reality, it is not.
This is an open-ended task; my prompt did not explicitly tell it how to do it. It needed to independently plan a complete process and choose the right tools and make correct operations at each step. This tests the core capability of "autonomous planning and execution" in the Harness architecture.
In addition, this task also assessed the agent's coding abilities and multimodal recognition capabilities. The Yuanjing Digital Employee perfectly fulfilled this role.
Test Two: Always Available Assistant
The Yuanjing Digital Employee supports binding with instant messaging software and multi-channel access. I chose to test it with WeChat Clawdbot.
Test prompt: "Please automatically open the browser to visit Zhihu hot searches, scrape content related to artificial intelligence or technology, generate a daily report, and send it to me. Now please execute once, ensuring the task can proceed smoothly."
Accessing browser content is one of the scenarios where Agents are most likely to "crash." Page structure changes, CAPTCHA interceptions, and asynchronous loading may interrupt the automation flow.
I observed that the digital employee encountered pop-ups and anti-scraping interceptions multiple times but always attempted different circumvention methods without ever giving up.
Before building the script, it proactively verified the stability of the script, ensuring that issues like pop-ups would not cause failures in the future. More impressively, it filtered and cleaned the retrieved content to avoid pushing dirty data.
During the script building process, there was an interesting detail: the system found that the keyword matching in the initial script mistakenly judged the e-sports match result "AL 0:3 BLG" as AI-related content, and then independently located and repaired the issue.
In the end, I received a filtered and integrated tech daily report on WeChat. It can be executed multiple times later, effectively reducing the burden on the editorial team.
There was also a clear sense of security. When choosing work paths, the system specified that user authorization was required, with no overreach.
In coding development, there are options to authorize the digital employee with permissions, including three safety authorization strategies: cautious, balanced, and hands-off.
No overstepping, very reassuring.
To truly verify whether an Agent product is usable, one should not only look at the successful cases in demonstration videos but also examine its stability and fault tolerance under boundary conditions, exceptional situations, and long-term operation. The Yuanjing Digital Employee was surprisingly robust in its work, effectively completing tasks across various workflows, and fully utilizing the model's powerful capabilities to handle day-to-day workflows.
This employee isquite different
After the previous testing, I found that the Yuanjing Digital Employee of China Unicom is indeed somewhat different compared to other AI office products.
To deeply internalize AI capabilities into productivity workflows, the most concerning questions for users are actually three: Is it too troublesome to use? Are the capabilities sufficient? Is the data secure?
The Yuanjing Digital Employee scores nearly full marks on solving these three key issues, and the process of resolving them leaves users relieved, secure, and assured, allowing users to understand both the outcomes and the reasons behind them!
Reassuring, with all-channel access, tasks are uninterrupted, and progress receives timely feedback
A qualified digital employee can be on standby at all times, connect anytime, and execute any task. The Yuanjing Digital Employee truly realizes "7×24 hours without off-duty", becoming a full-time assistant for users.
It allows users to access through all channels, supporting almost every conceivable means of communication, including PC, WeChat, DingTalk, cloud computers, 5G messaging, voice, video-integrated communication, and other AI-native communication portals, making the agent's capabilities both convenient and inclusive, fully leveraging the operator's strengths.
No matter when and where, the Yuanjing Digital Employee can achieve seamless connections across multiple channels, ensuring that tasks are never interrupted and progress can always be reported.
Secure: Mass skills automatically awakened, work and life efficiently concluded
My biggest takeaway from this practical testing is, "Only what is unimaginable, is unattainable."
The Yuanjing Digital Employee has accumulated over 1,000 skills in the five business fields of "office, research, entertainment, education, finance."
China Unicom’s business can be handled easily, and skills related to daily living can expand infinitely. Users have to describe their tasks in one sentence; the system can automatically decompose tasks, match skills, and execute perfectly.
Behind this is the Yuanjing MaaS platform, which can allow every piece of token’s production and supply to be updated, strengthened, and more comprehensive, ensuring that every token creates value. Simply put, the token price has dropped, costs are minimal, and it’s worth using!
With the support of the Yuanjing MaaS platform, mainstream open-source models, including DeepSeek, Qianwen, GLM, etc., can all achieve Day0 synchronous deployment. The coverage includes the top 5 models in the industry and can provide intelligent routing.
The Yuanjing MaaS platform can reduce token latency by more than 50% on average, double throughput, and increase inference speed by up to 5 times.
In terms of capability certification, I found that Yuanjing MaaS has obtained five 4+ level and advanced level certifications, including model services, agents, RAG, etc. There are also security guarantees, having obtained certifications for large model safety, CNAS, etc.; in the area of domestic information innovation, it has received seven compatibility recognition certifications including reliable AI and Ascend.
Additionally, Yuanjing has developed "Agent 114" skill grading precise matching technology, overcoming the bottleneck of skill quantity.
Reassuring: Multi-dimensional safety guarantees, reliable operations from state-owned enterprises
In terms of safety, you can always trust the power of state-owned enterprises.
The Yuanjing Digital Employee has protective measures at every step of the model's input, reasoning, and output, capable of intercepting common attack risks, and supports full-process control for pre-assessment, in-process interception, and post-tracing.
Most importantly, the Yuanjing Digital Employee possesses self-developed Harness architecture, enabling autonomous control at the underlying technology level.
The core design of Harness is to integrate long-term and short-term memory and a self-reflection mechanism, allowing digital employees to become increasingly efficient in repetitive tasks. It achieves the sedimentation of the agent's experience and capability evolution, continually enhancing the execution efficacy of complex tasks.
The enterprise version can provide private cloud-edge deployments, ensuring unified management of intelligent employee skills and ensuring the safety of enterprise production operations.
Under this comprehensive service operation system of state-owned enterprises, both enterprise-level and individual users can use it with confidence.
Industry Skills enable digital employees to transition from generic to specialized
It is clear that digital employees possess good foundational abilities. However, some specific scenarios demand that AI assistants not only be smart but also genuinely understand industry rules and knowledge.
In this aspect, the Yuanjing Digital Employee enhances its reliable professional capabilities by layering industry Skills, presetting specialized knowledge, industry norms, and process logic for specific workflows, enabling the agent to achieve "ready to use, compliant output" standards. A command given in one sentence allows the system to automatically schedule the corresponding industry Skill to complete the task.
Currently, the implemented industry Skills cover fields such as government affairs, industry, and cultural tourism, each with practical operational cases.
Government documents are dense in rules and have low tolerance for errors; any mistake in font or regulatory number could lead to rejection. Manual verification is time-consuming and prone to omissions. The Yuanjing Secretary Agent has built six major professional Skills covering 15 types of statutory documents, integrating scene writing, one-click review, text and comparative reviews, form checking, and intelligent evaluation throughout the process, capable of outputting Word drafts with revision notes.
China Unicom and Tsinghua University jointly tackled "policy simulation," conducting multi-dimensional iterations. Tests discovered that its formal review accuracy reached 100%, content review accuracy exceeded 90%, and decision-making efficiency was compressed from several days to 10 minutes. The Yuanjing Secretary Agent has now been deployed in 26 projects across 12 provinces and 8 cities nationwide, serving over 10,000 civil servants.
In industry, Yuanjing has already been implemented in the ship design field. Ship design has long faced three pain points: difficulty in finding drawings, time-consuming layout chart reviews, and low efficiency in redrawing schematics. The Yuanjing & Wangu Industrial Intelligence platform has developed AI+EID assisted design Skill, reconstructing the process with a "three-step method": first automatically match the parent ship drawings by type, tonnage, and number, then in AutoCAD one-click identify layout diagrams and review naming and line specifications, and finally generate EID electrical schematics based on equipment wiring.
Practically, the time for drawing recognition and schematic generation has been compressed to within 5 and 10 minutes respectively, with overall drafting efficiency improved by about 40% and selected as an "AI Empowering Ocean" innovative practice case at the 2026 World Artificial Intelligence Conference.
The information in cultural tourism scenarios is highly fragmented. Tourists have to switch between multiple platforms, and third-party guides vary in quality and lack official endorsement. China Unicom’s intelligent team united with Dunhuang Smart Tourism Company, Beijing University of Posts and Telecommunications, and China Unicom Intelligent City Research Institute, relying on the National Key R&D Program of the Ministry of Science and Technology to implement the cultural heritage guiding agent in Dunhuang, creating the first intelligent travel companion demonstration.
This plan uses NFC cultural and creative dolls as a carrier, enabling instantaneous awakening with a touch, requiring no download or registration; it partners with regulatory bodies and compliant merchants to provide authoritative recommendations, integrating guided explanations, intelligent Q&A, route planning, accommodation preferences, and itinerary planning, achieving a transformation from "people seeking services" to "services seeking people," and it can be replicated in museums, ancient streets, intangible cultural heritage exhibition halls, and other cultural tourism scenarios.
The paths of implementation in these three industry sectors differ, but this reflects a general intelligent agent framework + specialized Skills implementation paradigm: general capabilities as the base, industry knowledge for depth, and the Yuanjing Digital Employee serves as a unified entry connecting general office to specialized scenarios with a complete capability spectrum.
Is it user-friendly? Only by trying it out can one know.
The question I was most curious about before testing was: Where does the satisfaction of having an agent help with tasks come from? After several rounds of practical testing, the answer became clear.
While it can’t "change the world in one sentence," the level of stability and reliability has built trust. Toss a demand over, and the AI can independently run through a long process of searching, analyzing, drawing, and writing reports; it sends daily curated reports to WeChat on a schedule, and it can even sidestep and correct issues like pop-ups or misjudgments; it also handles specialized tasks like writing documents, creating electrical diagrams, and doing cultural travel guides competently.
Overall, the longer you use it, the more you appreciate the peace of mind: it has become a reliable assistant that doesn't require monitoring and won’t drop the ball.
Of course, merely evaluating AI tools is not enough; how smoothly they work can only be determined through real tasks. Fortunately, the Yuanjing Digital Employee can be installed with one click and is ready to use right out of the box, presenting a low barrier to trying it out.
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