research-report

To convert JSON research data into a Markdown report, use a generator that parses deep-research JSON outputs and writes a structured summary file. This process reads flat or nested JSON, applies category mappings, filters out uncertain values, and outputs a clean Markdown document.

Generating a table of contents from JSON fields involves mapping data categories using a configuration file and building a TOC that highlights user-selected summary fields. This allows quick scanning of items and their specific details within the generated Markdown report.

Yes, you can automatically skip uncertain or empty values during JSON to Markdown conversion by applying quality filtering rules. The process ignores empty values, skips fields containing [uncertain] tags, and excludes names listed in a designated uncertain array.

Deep research report generation works with both flat JSON and nested category JSON structures. It uses a bidirectional category mapping derived from a fields configuration file to correctly interpret and organize the data into the final Markdown output.

To organize multi-source research results into a report, you need an outline.yaml file for topic and output directory configuration, and a fields.yaml file for category mappings. These files guide the parsing and structuring of the JSON data into the final report.