

Lark Aily
Overview :
The Lark Intelligent Partner Creation Platform focuses on the development and customization of enterprise intelligent agents, committed to improving enterprise work efficiency. The platform provides ready-to-use work assistants and flexible customization capabilities, suitable for various enterprise scenarios, with reasonable pricing and support for businesses of different sizes. It is divided into a free version, enterprise version, and premium version, each meeting the needs and budgets of different enterprises.
Target Users :
This platform is suitable for enterprise users who want to improve work efficiency and automate management. By customizing intelligent agents, enterprises can better utilize data, enhance customer service quality, and save on labor costs.
Use Cases
Enterprises use the Lark Intelligent Partner Creation Platform to customize intelligent customer service, improving customer response speed.
Companies use the platform to create workflow automation tools, reducing employees' repetitive tasks.
Teams use custom intelligent assistants to quickly access internal knowledge, optimizing information flow.
Features
Custom Intelligent Agent: Create a dedicated smart assistant based on your enterprise's unique scenarios.
Deep Retrieval: Integrate with enterprise knowledge to improve information retrieval efficiency.
Multi-model Integration: Support for multiple AI models to meet different needs.
Knowledge Q&A Effect: Support for diverse data sources to provide accurate knowledge answers.
Visual Workflow Orchestration: Easily build and manage AI workflows to increase task efficiency.
Support for External Tool Calls: Rich API and SDK integration capabilities to easily connect with enterprise systems.
How to Use
Visit the Lark Intelligent Partner Creation Platform website.
Select a suitable product version, register an account, and log in.
Create a custom intelligent agent using natural language based on your business scenario.
Integrate with your enterprise knowledge base and configure relevant data sources.
Adjust workflows through the visual interface and add required features.
Test the intelligent agent's performance and make necessary optimizations.
Launch the intelligent agent and start applying it in real work scenarios.
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