research-gathering

To gather research sources for a strategy memo, define a topic to trigger a scan of Markdown files. The system extracts key insights, verbatim quotes, and citation-ready references to support your strategic decision making.

To filter outdated research data by age and expiry, apply max-age and expiry rules to your topic-specific sources. This process requires frontmatter metadata like added_utc and expiry_date to automatically exclude stale information.

You can extract quotes and citations from Markdown research files by scanning datasets grouped by topic. The system pulls verbatim quotes and compiles citation-ready references with related internal links for strategy sessions.

The best way to organize research context by topic is structuring files within datasets/research/{topic}/ directories. This groups Markdown sources by theme and applies recency filters to produce context-ready structured outputs.

To apply expiry filters to research datasets, Markdown files need frontmatter metadata including added_utc and expiry_date. This metadata allows the system to calculate age and automatically filter out expired sources.

Research gathering does not work properly without frontmatter metadata because the system relies on added_utc and expiry_date fields to apply max-age and expiry filters for keeping gathered information current.