Three Steps to Intelligent Production of Research Reports
Background: Traditional report writing involves the entire process of data collection - analysis - writing - typesetting, which can be reduced to 10 minutes by GenFlow through the following process:
- Structured command input:Adopt the framework of "Background - Status - Analysis - Recommendations" to clarify the requirements. Example: "To generate a report on China's PV industry, include: 1) policy background (2020-2024); 2) analysis of installed capacity (by province); 3) comparison of technology routes (N-type vs. PERC); and 4) investment recommendations."
- Multi-source data calls:Activated in the command:
- Baidu Academic Literature Search(Automatically generate references)
- Statistical office data calls (to ensure official data sources)
- Analysis of corporate annual reports (authorized web access required)
- Intelligent Post-Processing:
- Use of "academic style" filters to standardize language
- Enable "Automatic Catalog Generation" function
- Highlighting key findings through "red highlighting"
Advanced Tips: For a long report of more than 10 pages, you can adopt the mode of "Chapter Generation + Intelligent Merge" to optimize chapter by chapter after generating an outline.
This answer comes from the articleBaidu Literature GenFlow: A Smart Body Tool to Automatically Generate PPTs and Research PapersThe
May not be reproduced without permission:AI productivity tools " How to utilize GenFlow for efficient production of complex research reports?
