deep-research

You can automate a systematic review by activating a multi-agent research workflow that coordinates literature search, risk-of-bias assessment, and editorial review. This pipeline guides Socratic thinking and source verification to produce rigorous, reproducible analyses.

A multi-agent research pipeline orchestrates specialized tasks like scoping, investigation, and synthesis across 13 distinct agents. It ensures reproducibility by documenting search strategies, data handling, and transparency checks throughout the 6-phase workflow.

Yes, this domain-agnostic framework supports diverse topics across education and policy. It guides scoping, meta-analysis, and ethics review to generate transparent reports with clear provenance and audit trails for interdisciplinary investigations.

Conduct bias assessment and ethics review by running the integrated devil's advocate and editorial review agents. This workflow systematically evaluates sources, checks for bias, and applies ethics review during the composition and revision phases to ensure output integrity.

The best way to generate a reproducible report is to use a coordinated 13-agent pipeline that handles drafting, editing, and post-research monitoring. This process enforces transparency checks and documents search strategies for clear provenance.

While the workflow covers scoping through revision with checkpoints and recovery paths, it requires clearly defined research questions to initiate. Complex interdisciplinary topics may need careful architectural design to ensure the 13-agent synthesis correctly handles diverse data.