Intelligent analysis agent-based application operation method, device, equipment and product

By analyzing the task splitting and focus switching mechanism of intelligent agents, the problem of continuity and reliability of task execution in complex business processes is solved, and efficient automated operation of multi-step and multi-task scheduling is realized.

CN122309096APending Publication Date: 2026-06-30BEIJING VOLCANO ENGINE TECH CO LTD
0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING VOLCANO ENGINE TECH CO LTD
Filing Date
2026-06-03
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing intelligent agents struggle to handle long instructions involving multiple steps and task scheduling, especially long instructions that span multiple operation objects. This results in insufficient continuity and reliability of task execution, making it impossible to effectively handle complex business processes.

Method used

By using an intelligent analysis agent, the system receives instructions, uses a model to break down tasks, generates task sequences, and automatically switches focus after the new object is rendered, ensuring the continuity and reliability of tasks.

Benefits of technology

It improves the automation capabilities of intelligent agents in complex business processes, reduces the ambiguity of long instructions, reduces the model illusion problem, and achieves seamless task scheduling across operation objects.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122309096A_ABST
    Figure CN122309096A_ABST
Patent Text Reader

Abstract

A method, apparatus, device, and product for application operation based on an intelligent analysis agent, relating to the field of intelligent agent technology. The method includes: receiving a first instruction to the intelligent analysis agent, the first instruction instructing the intelligent analysis agent to perform page operations on a first application; performing task decomposition based on the first instruction using a first model to obtain a first task sequence, the first task sequence including at least one page operation task for the first application; executing corresponding page operations in the first application based on the intelligent analysis agent and the first task sequence; if the first task sequence includes a first operation task for triggering an entry point of a first object in the first application, in response to executing the first operation task and the first object being rendered, switching the focus to the first object. This method can reduce the ambiguity of long instructions, reduce model illusion problems, and ensure the continuity and reliability of task execution.
Need to check novelty before this filing date? Find Prior Art