article-enrichment

To structure raw article text dumps into organized knowledge pages, you can apply post-ingest processing that generates a consistent layout featuring executive summaries, key insights, and quotable quotes. This transformation creates searchable, actionable brain pages.

The best way to extract executive summaries and verbatim quotes from saved articles is to use an enrichment process that parses unstructured text. It automatically identifies key arguments and insights, outputting them into dedicated sections for quick reference.

Yes, you can preserve the original source text when converting articles into structured summaries by collapsing the raw content into a details block. This maintains provenance and traceability while keeping the main page layout clean and readable.

To add See Also cross-links to connect related articles, you can use an enrichment skill that analyzes article context and automatically generates cross-references. This supports backlinks and ensures newly ingested articles are properly interconnected.

Yes, structuring unstructured articles into consistent brain pages requires frontmatter metadata to properly categorize and process the content. Without this prerequisite metadata, the post-ingest processing cannot generate the tailored sections and cross-links.