Background
AIBot PRO's aggregation feature solves the problem of redundancy, data fragmentation, and reduced efficiency in team collaboration, where members often use multiple AI tools for different tasks, and switching platforms frequently leads to redundancy.
Core Solutions
- Sensorless switching function: Directly switch between 6 AIs such as ChatGPT/Claude in the dialog interface, without having to log in or jump pages repeatedly.
- Integrated Knowledge Base Management (IKBM): Aggregate the content produced by each AI into a local privatized knowledge base and design intelligent classification rules through regular expressions
- Workflow automation: Orchestrate cross-AI workflows with JavaScript/C# scripts, e.g., generate copy with Wenxin Yiyin first and hand it over to Xunfei Starfire for optimization automatically.
procedure
- Select a SqlServer database that supports multi-user collaboration at the time of deployment
- Configure member usage quotas for each AI model in team permission settings
- Connect AIBot PRO to existing collaboration systems (e.g., pinning/flying book) via open platform APIs
advanced skill
The use of "parallel processing of multiple documents" function can be batch processing of documents submitted by different members, with the "immersive PDF reading" to achieve real-time annotation of multiple people, compared with the traditional way to enhance the efficiency of about 40%.
This answer comes from the articleAIBot PRO: A commercialization aggregation platform integrating multiple AI productsThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of cumbersome and inefficient operation caused by using multiple AI tools in team collaboration?
