Background
Automated enterprise report generation often faces issues such as inconsistent quality, inconsistent formatting, and difficult data integration, and Sage's multi-agent collaboration framework is specifically designed to address these pain points.
Improvement program
- Automatic decomposition of tasks: Break down report generation into subtasks such as data collection, analysis, visualization, and format specification.
- Specialized agent processing: Analyze the agent to ensure that the data is understood accurately and execute the agent to call the appropriate API.
- Output quality control: Observation agents monitor the quality of each process, and summarization agents ensure that the final output meets standards.
workflow
- Enter a report generation task in the web interface, such as "2024Q3 Market Analysis Report".
- Choosing a Deep Thinking Model to Ensure Depth of Analysis
- Customize the report generation process with a visual workflow editor
- View Markdown preview and export final report
Summary points
With Sage's task decomposition and specialized agent collaboration, you can simultaneously improve the efficiency and quality of report generation, especially for business scenarios that require regular output of complex reports.
This answer comes from the articleSage: An Intelligent Multi-Agent Task Decomposition and Collaboration FrameworkThe
May not be reproduced without permission:AI productivity tools " How can you improve the quality and efficiency of automated report generation with Sage?
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