Structured Report Generation Program
MAESTRO ensures report quality through multi-agent collaboration:
- Planning agent dismantling tasks: Automatic decomposition of research objectives into a tree structure of questions (e.g. analyzing warming impacts → three sub-dimensions of agriculture/economy/ecology)
- Rethinking proxy quality checks: Perform integrity checks on collected data (e.g., validate data source, temporal consistency)
- Writing Agent Templated Output: Standardized structure of [background-methodology-findings-conclusions], with support for insertion of graphical markers
Hands-on suggestion: Turn on "Strict Reflection Mode" in the task settings, and the system will perform 3 rounds of logic checking. Users can choose the optimal result by comparing the report versions generated by different agents.
This answer comes from the articleMAESTRO: In-depth research assistant with local knowledge base and multi-agent collaborationThe
May not be reproduced without permission:AI productivity tools " What are the specific ways to solve the problem of confusing logic in a research paper?
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