The development of AI technology is surging, and leading companies are actively deploying in the field of large models. In this technological revolution, AI agent has emerged with its unique charm and has become an emerging force that has attracted much attention. Compared with large models, AI agents are closer to our daily life and work, and they have won wide attention for their personalized services and excellent user experience.
Digging deeper into how AI agents work, we found that the core of AI agents is to rely on advanced AI models and build customized application services through well-designed processes. These services are tailored to specific business scenarios and aim to improve the accuracy and efficiency of the information output by AI applications. It is this kind of accurate and efficient customized service that allows AI agent to show great potential and broad imagination in improving user experience.
What are the four core benefits of AI Agent?
The value of AI Agent is embodied: four core advantages
Controllability of business processes
With customized workflows, AI agents can accurately meet the needs of enterprises or individuals in specific business scenarios. By automating a large number of repetitive tasks, they greatly improve productivity and reduce the occurrence of human error. For example, in the business processing of insurance companies, the AI agent can automatically respond to customer inquiries and claim applications, and quickly give accurate processing results through preset business rules and logic, thus greatly improving the efficiency and accuracy of business processing.
Intelligent upgrade of user experience
By integrating advanced technologies such as large language models and image recognition, AI agents can achieve natural dialogue and intelligent interaction with users. They can not only recognize the images uploaded by users, but also predict user behavior patterns, so as to provide users with a more personalized and intelligent service experience. For example, AI customer service can continuously communicate with users, accurately identify users' real needs, and quickly solve users' problems, greatly improving user satisfaction and trust.
Shaping of new traffic entrances
As a user interaction portal in the future AI era, AI agent has huge traffic potential. They will not only provide users with new channels for information input, communication and access, but will also become a key platform for information distribution and access. For example, online shopping platforms can collect users' shopping preferences and behavior data through AI agents to recommend personalized product information for users, thereby increasing user stickiness and purchase rates.
Innovation in the business model of the AI industry
AI agents provide new possibilities for business model innovation in the AI industry by connecting different models and plug-ins. They use models as the underlying operating system and plug-ins as the basic services to provide users with diversified services. This multi-level and diversified business model not only brings a stable source of income for enterprises, but also provides users with a richer and more personalized service experience. At the same time, the wide application of AI agent will also promote the rapid development and progress of the AI industry.
What are the four core benefits of AI Agent?
For example, as an AI quasi-unicorn and a leading enterprise in hyper-automation, TARS, a vertical large-scale model developed by Real Intelligence, ranks among the best in various domestic large-scale model lists, with differentiated advantages such as "usable effects, controllable costs, customized training, and privatized deployment".
Real Intelligence launched the first product-level real AI Agent in the whole industry - "Wensheng Digital Employee", that is, through the generation of automated processes and software robots in one sentence, it brings intelligent assistants to individual users to solve the long-tail and low-frequency automation needs, and brings employee office assistants to governments and enterprises, realizing "you say PC does" for various application software on PC and mobile phones, and fully opening the era of intelligent twins.
In practice, the agent is able to simulate and surpass manual operations, not only perform repetitive rule-based tasks, but also handle more complex decision-making processes, such as identifying potential risks in the bank loan approval process, interpreting unstructured data, and synchronizing data across systems and platforms.