MasterAgent

On May 18, 2025, Shenzhen Shenyuan Artificial Intelligence released MasterAgent, dropping a technological depth bomb in the year of AI Agent with the identity of the world’s first L4-level intelligent body mother system. This localized system, which originated from the core team of China University of Science and Technology, draws on the concept of autonomous driving level division, and pushes the AI capability from the tool level (L3 and below) of “passive execution” to the autonomous level (L4) of “active creation”, redefining the underlying logic of human-machine collaboration. The bottom logic of human-machine collaboration has been redefined. While OpenAI is still polishing the interaction experience of a single intelligent body, MasterAgent has realized the full-process autonomous closed loop of complex tasks through the architecture of “mother generation + cluster collaboration”, bringing an exponential leap in productivity in the fields of finance, healthcare, and industry.

L4 Breakthrough: Qualitative Change in AI Autonomy and Expansion of Capability Boundaries

The classification of intelligence is essentially a quantitative definition of “AI autonomous decision-making capability”, and MasterAgent’s L4 status means that it has accomplished three key breakthroughs, completely detaching itself from the dependence on manual intervention.

(I) The leap from “local autonomy” to “full autonomy”.

Although traditional L3-level intelligences are equipped with memory and reflection modules, they are still trapped in the limitations of “a single scene with artificial backing” — for example, financial investment research AIs need to manually calibrate data dimensions, and medical diagnostic systems rely on doctors to supplement case details. Through autonomous learning and cross-scene generalization technology, MasterAgent realizes zero human intervention in “demand input → solution generation → result delivery”: after inputting the command “analyze 2025 brain science frontier papers”, the system can automatically complete the analysis of the papers without additional guidance. After inputting the command “Analyze 2025 Frontier Papers in Brain Science”, the system can automatically complete the whole process of analyzing the papers, evaluating their impact, recommending related literature, and outputting visualization reports without additional guidance. This autonomy comes from its recursive self-evolution mechanism, which automatically updates the knowledge base and algorithm model every week, and really makes it “smarter and smarter the more it is used”.

(II) Knowledge Migration: A Cross-Domain “Capability Reuse” Revolution

The core competitiveness of L4-level intelligences lies in “knowledge generalization”, and MasterAgent is able to migrate mature models in a certain field to brand-new scenarios: applying risk assessment algorithms in the financial field to optimize the allocation of medical resources, and reconstructing the government service process with the scheduling logic of industrial production. This migration capability dramatically reduces the cost of industry adaptation of AI – BOCI used to develop independent AI tools for different business lines, but now, with MasterAgent’s knowledge migration function, it can cover three major scenarios of stock analysis, bond pricing, and risk early warning with only one set of core models, which reduces the development cost by 60%. (iii) Proactive forecasting: from the “stock analysis” to the “bond pricing” to the “risk warning”.

(iii) Proactive prediction: from “responding to demand” to “creating value”.

Traditional AI is a “command-driven” passive tool, while MasterAgent realizes the active service of “demand prediction”. In the application of a tertiary hospital, the system can not only match the diagnosis and treatment plan after inputting the basic data of the patient, but also prejudge the probability of organ failure of ICU patients through the historical case data, and trigger interventions 40% in advance; in the financial scenario, it will actively track the market dynamics, and generate the “list of potentially risky assets” when users do not have a clear instruction. In financial scenarios, it actively tracks market dynamics and generates a “potential risky asset list” when users do not give explicit instructions. This kind of forward-looking service upgrades AI from an “auxiliary tool” to a “decision-making partner”.

Dual-engine architecture: the technical code for generating intelligent clusters at minute level

The revolutionary experience of MasterAgent originates from the closed loop of “Generate – Collaborate – Deliver” constituted by Master Builder (generation engine) and Agent Group (collaboration engine). These two self-developed engines make “building a professional AI team with zero code” from concept to reality.

(I) Master Builder: A “Digital Workforce” Born in 1 Minute

The traditional development of intelligent bodies needs to go through the process of combing requirements, code writing, testing and deployment, with a cycle of several weeks or even months, and relying on a professional technical team. master builder engine through Few-shot Learning technology, completely breaks the barriers: the user only needs to input natural language commands (such as “develop quarterly marketing strategy for new energy automobile market”). Users only need to input natural language commands (e.g., “Develop quarterly marketing strategy for new energy vehicle market”), and the system can generate clusters of intelligentsia containing roles such as “market research, competitor analysis, copywriting, and data visualization” within 1-3 minutes, and each intelligent body comes with its own professional skills library and tool interface.

The core of this generation capability lies in “modular assembly + rapid learning”: the platform has built-in 100+ industry SOP templates and tool plug-ins (e.g., data analysis tools, TTS speech synthesis, 3D modeling APIs), which can be automatically matched by Master Builder according to the needs of the combination; through a small number of examples (at least 1 case), the intelligent body can be quickly and easily generated. With a small number of examples (at least 1 case), the intelligent body can quickly grasp the professional logic – for example, by inputting “Generate SEC-compliant financial report summaries”, the system can generate a proprietary intelligent body with the ability to analyze financial reports by providing only 1 compliance sample.

(ii) Agent Group: “Collective Intelligence” for Decentralized Collaboration

If Master Builder is the “recruiter”, then Agent Group is the “project manager”, responsible for scheduling clusters of intelligences to form the “collective intelligence”. “. Its three innovative mechanisms ensure efficient execution of complex tasks:

1. Dynamic division of labor: Hundreds of intelligent bodies can collaborate in parallel and automatically split the task chain. In Haier COSMOPlat’s smart factory scenario, Agent Group disassembles the “equipment maintenance” task into four links of “data collection, fault diagnosis, maintenance scheduling, and effect review”, which are assigned to specialized intelligences, reducing fault response time from two hours to three hours. Fault response time is shortened from 2 hours to 15 minutes;
2. Game Consensus: Adopting the improved PBFT (Practical Byzantine Fault Tolerance) protocol, the system can reach the optimal consensus through multi-dimensional data checking within 3 seconds when there is a decision-making conflict between the intelligent bodies (e.g., two investing intelligent bodies give different asset allocation suggestions);
3. Multimodal output: automatically aggregating results after collaboration is completed, supporting one-click generation of reports, PPTs, web pages (including animation), audio podcasts and other multi-modal products to meet the communication and application needs of different scenarios.

Third, industry landing: reconstruct the productivity paradigm of thousands of industries.

MasterAgent’s fully localized technology base (the underlying architecture, algorithm model, data training all independent research and development), so that it in the financial, medical, industrial and other high compliance requirements of the field of rapid landing, and has reached a cooperation with hundreds of enterprises, the formation of replicable “intelligent body + industry” solutions.

(I) Financial field: “Time and space compression” for investment research efficiency

The application case of BOCI is very representative: the traditional investment research team needs 3 days to complete a “quarterly analysis report of the industry”, which involves data crawling, model construction, risk assessment and other aspects. After the introduction of MasterAgent, the system generates an intelligent cluster of “data mining + risk assessment + investment recommendations + report generation”, which can output a complete report with visual charts and graphs in 15 minutes, with an accuracy rate of 23% higher than that of manual work. What’s more, the system supports “real-time dynamic updating” – when the market suddenly changes policy, the cluster of intelligences can re-calculate and generate corrective suggestions within 1 minute, completely changing the traditional investment research “lagging ” pain point.

(ii) Medical Scenario: “Time War” for Critical Care Treatment

In the ICU ward of a tertiary hospital in China, MasterAgent demonstrates the value of life support. After inputting the patient’s symptoms, examination data and other information, the system automatically calls the medical knowledge base, matches the optimal diagnosis and treatment plan, and predicts the risk of deterioration (e.g., the probability of organ failure) through historical case data. Application data shows that the response time for critical care intervention is reduced by 40%, and the misdiagnosis rate is reduced by 18% – which means that more patients can receive accurate intervention within the “golden rescue time”.

(iii) Industrial Internet: the “nerve center” of smart factories

Cooperation with Haier COSMOPlat has made MasterAgent the core engine of industrial intelligence. In the talent recruitment scenario, the cluster of intelligent bodies automatically screens resumes, generates interview questions, and evaluates the match between the candidate and the position, increasing recruitment efficiency by 50%; in the production scheduling process, hundreds of equipment maintenance intelligent bodies monitor the production line in real time, warn of abnormalities in advance, and trigger maintenance commands, which reduces downtime losses by more than ten million yuan for the enterprise every year. This mode of “full process automation + active warning” promotes the transformation of factories from “passive operation and maintenance” to “active management”.

Fourth, the future outlook: from “mother system” to “intelligent body ecology”.

According to the planning of SZM AI, the next phase of MasterAgent will focus on “ecological construction”: the Creator Platform will be opened in 2026, allowing enterprises and developers to customize industry-exclusive intelligent bodies based on the mother system; at the same time, it will launch the “Intelligent Body Market” to realize the quality of intelligent bodies, and to provide a platform for the development of intelligent bodies. At the same time, the “Intelligent Body Market” will be launched to realize the sharing and reuse of high-quality Agents. This means that in the future, enterprises do not need to develop AI tools from scratch, and they only need to use MasterAgent’s dual ecosystem of “mother + market” to quickly combine intelligent body clusters that fit their needs.

From a technical point of view, the breakthrough of MasterAgent is not an upgrade of a single function, but the opening of a new era of “AI autonomous value creation”. When the intelligent body can learn independently, cross-domain collaboration, active prediction, human-machine collaboration will change from “human command AI” to a symbiotic model of “AI assisted human decision-making, human-guided AI evolution”. For enterprises, this is not only the enhancement of efficiency, but also the reconstruction of business models — BOCI has launched “intelligent investment and research SaaS services” based on MasterAgent, and Haier has exported its smart factory solutions to upstream and downstream enterprises. The value of technology is being transformed into real business increment.

In the global AI Agent competition, MasterAgent’s L4-level breakthrough and localization have given China a first-mover advantage in the intelligent body technology track. When AI evolves from a “tool” to an “autonomous partner”, we are standing at the starting point of a new paradigm of human-machine collaboration, and MasterAgent is the pioneer of this revolution.