AutoAgent's multi-intelligence collaborative system works with task decomposition and collaboration of specialized intelligences:
Basic working mechanisms:
- User input for complex tasks (e.g., "research market trends for a product and make recommendations")
- The system automatically breaks down the task into multiple subtasks (information collection, data analysis, report generation, etc.)
- Specialized intelligences (search, analyze, summarize, etc.) are activated and assigned appropriate subtasks
- The intelligences work together and intermediate results are automatically transferred within the system
- The final integration of the outputs from the various intelligences generates the complete result
Examples of practical applications:
When the user enters "Analyze AI trends in 2025," the system will:
- Calling Search Intelligence to collect up-to-date data from the Internet
- Use analytical intelligence to distill key messages and trends
- Organized into structured reports by summarizing intelligences
- Finally, you may also use charts to generate smart body visualization data
This design allows AutoAgent to handle complex tasks more efficiently and accurately than a single AI model, and especially excels in research efforts that require multifaceted analysis.
This answer comes from the articleAutoAgent: a framework for rapid creation and deployment of AI intelligences through natural languageThe
May not be reproduced without permission:AI productivity tools " How does AutoAgent's multi-intelligence collaborative system work?
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