deep-research

Automate multi-source research in Claude Code by running an eight-phase pipeline that retrieves, triangulates, and synthesizes data. It outputs structured markdown reports with inline citations and source credibility scoring.

Source triangulation and verification work by cross-referencing retrieved data across multiple origins during the research pipeline. The system critiques and refines the synthesized information to ensure validated, authoritative results.

You can run autonomous deep research locally without external dependencies directly within Claude Code. The self-contained execution stores outputs locally to ensure full auditability and reproducibility of the research process.

The difference between quick, standard, deep, and ultradeep research modes lies in the balance between speed and quality. You select a mode based on task complexity, with ultradeep targeting the most rigorous multi-source analysis.

You should avoid using autonomous research pipelines for simple lookups, basic fact retrieval, or debugging tasks. The system is designed for complex comparison tasks requiring 10 or more sources with automated validation.

Verified research results are packaged into structured markdown reports containing bibliographies and inline citations. The pipeline also supports optional HTML and PDF outputs for delivering the final synthesized analysis.