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To turn raw research sources into a publishable article, apply a six-phase workflow that collects, digests, outlines, drafts, refines, and publishes primary sources with explicit attributions and a mandatory final self-review.

Organize primary research sources into a structured outline by collecting and digesting the material first, then producing a source-linked outline that preserves contradictions and annotates each claim with its origins.

Remove AI writing patterns from drafted research articles by running a mandatory refinement pass that polishes the text and strips machine-generated phrasing before requiring a final linear self-review.

The best way to maintain source attribution when writing technical blog posts is using a source-first discipline that fetches web sources, converts them to Markdown, and annotates every claim with its explicit origins.

Yes, you can use this research workflow for quick reference generation instead of deep research by selecting the Quick Reference mode when describing your topic and desired output.

You need a mandatory self-review before publishing a research article because the workflow enforces human-in-the-loop safety, requiring you to perform a final linear read-through to verify accuracy before publication.