article-level2

You can convert source documents into Japanese explanation articles by executing the pick-l1-source.mjs script to parse L1 content, providing the title and tags, then running publish-notion.mjs to write to the Notion Articles DB.

The L1 to L2 content transformation process parses L1 source documents, summarizes and structures the content with AI guidance, and generates evidence-based L2 explanation articles in Japanese for editorial use.

Yes, this Notion article generation workflow requires the axios and yaml dependencies to parse source documents and interface with Notion's APIs for reading the L1 library and writing L2 articles.

Yes, you can use Azure AI to structure Japanese content by reading from your L1 source library in Notion, transforming the text into a structured L2 explanation article, and writing it back to the unified Articles DB.

The best way to automate briefing document creation is running the provided scripts to select an uncovered L1 source, generate a summarized Japanese L2 article, and publish it directly to your Notion database.

Limitations include relying on Notion's APIs for database connectivity and requiring manual input of the title, abstract, and tags before executing the publish-notion.mjs script to finalize the L2 article.