alterlab-deep-research

Automate a systematic literature review by orchestrating a 13-agent pipeline that handles scoping, synthesis, and reporting. This enforces modular agent orchestration, safety and ethics checks, and reproducibility documentation to generate publication-ready outputs.

AI-assisted deep research orchestration automates a six-phase workflow from scoping to publication, utilizing Socratic-guided ideation and devil's advocate checks to deliver rigorous academic investigations and APA 7.0 aligned reports.

Yes, you can generate publication-ready outputs by running the deep-research pipeline, which provides publish-ready output templates and metadata aligned with APA 7.0 standards for your systematic reviews and policy analyses.

Deep research automation enforces reproducibility by generating documentation and including mandatory AI-disclosure, ensuring that your structured investigations meet safety and ethics review standards across education and science domains.

The best way to conduct policy analysis is using a modular 13-agent deep-research workflow that applies Socratic-guided ideation and phase-based execution to transform your topic into a complete, structured policy report.

Avoid using an automated deep-research pipeline if your investigation requires non-standard reporting formats outside of APA 7.0, or if your topic lacks sufficient scope to warrant a full six-phase structured orchestration.