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Zaishi Agent: Automate Workflow Tasks with a Single Phrase
Zaishi Agent: Automate Workflow Tasks with a Single PhraseIntroduction
What is Agent Indeed
Agent Indeed is the third-generation RPA product launched by Indeed Intelligence, built on a self-developed TARS large language model and a dual-mode intelligent screen semantic understanding engine. It no longer relies on the traditional RPA model of "fixed rules and drag-and-drop configuration." Instead, users describe tasks in natural language, and the Agent autonomously breaks down steps, recognizes on-screen content, and operates various software to complete the entire flow from instruction to execution.
Features
One-sentence workflow generation: Understands task goals through conversation, automatically plans and generates executable workflows without writing code or dragging components.
ISSUT screen semantic understanding: Uses computer vision models to identify buttons, input fields, forms, and other elements on the screen like a human. Even when software interfaces are updated, it can accurately locate elements, improving workflow stability.
TARS self-developed large model: A vertical-domain large model with tens of billions of parameters, integrating industry experience and automation data from more than 4,000 customers, supporting task decomposition, logical reasoning, knowledge Q&A, and content generation.
RPA atomic capabilities: Integrates a long-accumulated RPA component library, supporting cross-system data transfer, Excel automation, browser operations, desktop software control, and more.
Intelligent document processing (IDP): Extracts information, summarizes, Q&A, and performs follow-up operations on unstructured documents such as invoices, contracts, and reports.
RAG targeted knowledge base: Can connect to a private knowledge base and generate answers based on enterprise-specific data, reducing model hallucinations.
Remote control and long-term memory: Remotely operate local software using natural language through Feishu or DingTalk on your phone, and remember historical experiences for continuous optimization.
Small-window execution mode: Runs tasks in an independent desktop environment without affecting normal office work.
Application Scenarios
Cross-border e-commerce operations: Multi-platform product listing, review and ranking data collection, competitor price monitoring, automatic store performance analysis, with approximately 200% improvement in human efficiency.
Finance and data processing: Automatic entry of invoice information, flagging of abnormal data, report generation and distribution, cross-platform reconciliation in financial systems.
Human resources: Automatic greetings and resume screening on BOSS Zhipin, onboarding process automation, attendance data aggregation.
Customer service and after-sales: Automatic ticket dispatch and tracking, user review scraping across platforms and identification of negative reviews, intelligent reply generation.
Live-streaming e-commerce: Quick creation of livestream backgrounds, traffic placement data analysis, automatic generation of operations reports.
Supply chain and warehousing: Automatic order processing, logistics information synchronization, inventory counting and replenishment alerts, multi-warehouse collaboration.
Agent Indeed Pros and Cons Analysis
Pros
Low barrier to use; natural language interaction allows non-technical personnel to use it.
Strong resistance to interface changes; ISSUT technology significantly reduces workflow maintenance costs.
Deeply adapted to localization needs, understanding Chinese context and the working methods of domestic enterprises.
Supports private deployment and Xinchuang environments, meeting compliance requirements for highly regulated industries such as finance and government affairs.
Provides an end-to-end closed-loop capability from requirement understanding to execution feedback, rather than being a single-feature tool.
Cons
Enterprise-level positioning; individual users or small teams may face relatively high procurement costs.
In complex business scenarios, the accuracy of "one-sentence generation" still requires manual verification and tuning.
Adapting to non-standard software or highly customized systems may require additional development.
Compared with the overseas open-source Agent ecosystem, the richness of community plugins and third-party integrations is still under development.
How to Use Agent Indeed
Download and install: Visit the official website https://www.ai-indeed.com to download the client.
Natural language creation: Enter task instructions directly in the conversation area, such as "Help me aggregate the sales data from the Excel on my desktop and generate a chart," and the Agent will automatically break it down and generate the workflow.
Agent marketplace invocation: Go to "Marketplace" from the left menu and download ready-made RPA workflows or Agent templates to use directly.
Custom Agent: Enter the "Agent" module and create a dedicated Agent based on the four template categories of "Do, Ask, Data, Generate," configure prompt words and associate RPA workflows.
Execution and monitoring: Run tasks in the background through the "Execution Small Window," view every operation in real time, and support manual intervention and exception handling.
Frequently Asked Questions
Q: What is the essential difference from traditional RPA?
A: Traditional RPA executes according to fixed scripts, while Agent Indeed autonomously plans based on understanding. It has the reasoning capabilities of large models and screen visual understanding capabilities, able to cope with interface changes and ambiguous instructions.
Q: Does it support domestic environments?
A: Yes. The Xinchuang version launched in 2026 fully adapts to domestic chips, operating systems, databases, and servers, and supports private deployment.
Q: Can the generated workflows be modified?
A: Yes. The workflows generated by the Agent will display complete visual steps, and users can adjust components and parameters themselves in [Orchestration Plan].
Q: How is data security ensured?
A: It adopts non-intrusive UI automation without opening system interfaces; supports refined permission isolation, desktop control, and full-link audit traceability, and has passed CMMI Level 5 certification.
Product Review
Agent Indeed represents the shift of RPA from "rule execution" to "intelligent decision-making." Its core lies in combining the "brain" of large models, the "hands and feet" of RPA, and the "eyes" of ISSUT. It not only solves the fragility of traditional RPA where "the process breaks as soon as the interface changes," but also makes up for the shortcomings of pure AI Agents that "lack execution capabilities." The product positioning is clear—it is not a general-purpose chat robot, but focuses on being a digital employee for PC desktop office scenarios. It has obvious advantages in domestic adaptation, Xinchuang support, and private deployment. Based on customer feedback, it has a high level of implementation maturity in e-commerce, retail, manufacturing, pharmaceuticals, and other industries, and can indeed significantly lower the threshold for automation, allowing business personnel to build workflows on their own without IT support.
