article-enrichment

Article enrichment transforms raw text dumps into structured knowledge pages by generating executive summaries, key insights, quotable lines, and contextual sections. This process organizes unstructured content into readable, citation-friendly markdown resources for analysis.

To add summaries and verbatim quotes to a markdown knowledge base, ingest the raw article text and apply an enrichment process. This automatically extracts accurate quotes, generates summaries, and structures the content while preserving the source material for citation accuracy.

The best way to cross-link related articles in a personal knowledge base is to use existing brain context during article ingestion. This approach automatically identifies relationships between new content and existing pages, generating meaningful cross-references and why-it-matters analysis.

Yes, you can use article enrichment to clean up existing unstructured brain pages. It processes previously ingested text walls, applies structured markdown output conventions, and refines the content into concise resources that support writing, analysis, and decision-making.

Article enrichment handles citation accuracy by strictly preserving the original source material. It extracts verbatim quotes and generates contextual insights without altering the underlying text, ensuring that all resulting knowledge pages maintain reliable references.

You should avoid automated article summarization if your workflow requires modifying the original source material or if your content lacks sufficient context for generating meaningful cross-references. The process focuses on structuring and enriching existing text without changing its core meaning.