DYXnet Mini App

Zero-Code Visual Development
Lowering the threshold for using AI technology and empowering non-technical personnel to quickly create applications that meet business needs.
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A lightweight AI tools building platform for enterprises and individual users

Through zero-code development, multi-LLMs adaptation and knowledge base integration, users can complete the entire process from specification definition to tools deployment within 10 minutes without any programming knowledge, achieving efficient automation that enhances operations. By choosing an appropriate LLM and designing a specific project prompt, business personnel can swiftly develop intelligent applications tailored to specific needs, supporting the development of tools such as smart customer service systems, data analysis assistants, automated report generators, and code snippet generators. These applications are designed to meet the needs of various job functions, including sales, operations, R&D, and more.

Solution Advantages

Enables non-technical personnel to create AI tools in as little as 10 minutes, increasing efficiency by 80%.

Matches the optimal combination of leading large language models worldwide to enhance accuracy.

Combines private deployment with up-to-date business knowledge bases, ensuring data security.

Provides ready-to-use templates that cover 90% of business scenarios.

The API is directly connected to DingTalk and Enterprise WeChat, allowing access to existing workflows without any modifications.

Application Scenarios

  • Sales
  • E-commerce
  • Legal
  • Manufacturing

AI sales assistant
Scenario: The sales team uses jargon to communicate with clients or prepare quotations.
Implementation: Generate personalized sales content with jargon by combining product brochures and client databases.

Product selection analysis for cross-border e-commerce
Scenario: Operators enter keywords to obtain product pricing strategies.
Implementation: Capture platform data and market trend prediction to obtain output product selection list with profit margin calculation.

Compliance review robot
Scenario: The legal department quickly reviews the risks of contract terms.
Implementation: Identify disputed clauses and suggest amendment templates based on the laws, regulations, and precedents database.

Equipment fault diagnosis
Scenario: Troubleshoot equipment abnormalities through natural language descriptions.
Implementation: Generate diagnostic flowcharts and spare parts replacement guides based on the equipment maintenance manual and work order.

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