research-pipeline

To automate research workflow, you provide a topic and multi-source inputs to trigger a two-stage process: digesting information into structured Q&A and expressing it into outlines, articles, or scripts using NotebookLM as the knowledge base.

Yes, you can use NotebookLM to generate structured Q&A and outlines. The pipeline converts multi-platform materials into Markdown, uploads them to NotebookLM, and creates traceable Q&A evidence for downstream content production.

The best way to turn multi-platform materials into Markdown is using the pipeline's built-in SOP guidance, which standardizes diverse inputs into Markdown format for seamless upload to NotebookLM as a structured knowledge source.

The research pipeline includes an automated onboarding process for first-time users, providing one-click tool installation and setup guidance to lower the entry barrier, so extensive prior manual configuration is not required.

After the research digestion stage, you can produce multiple content formats including outlines, long-form articles, broadcasting scripts, and social media posts, all while retaining traceable Q&A evidence from the original sources.