agent-research

Automate research report generation by dynamically selecting specialists from a predefined pool to form a multi-perspective team. This enforces cross-agent collaboration and evidence-based validation throughout a structured phase workflow to produce a final report.

Structure multi-agent research using a phase-based workflow: target analysis, parallel investigation, cross-validation, gap analysis, and final reporting. This ensures robust collaboration protocols with inter-agent sharing and audit trails for investigating companies or regulatory issues.

Cross-verification works by enforcing inter-agent sharing and evidence-based validation during the cross-validation phase. Agents investigate targets in parallel, then share findings to identify gaps and validate insights before generating the final dynamic report.

Yes, you can control the depth of investigation using options like quick, standard, and deep. These depth settings dictate the intensity of the parallel investigation and cross-validation phases conducted by the dynamically selected expert team.

No, you do not need to manually select specialists. The system dynamically selects the most suitable experts from a predefined pool of 11 specialists based on your provided project target and keywords to form the research team.

Outputs from a dynamic expert team research workflow include team design rationale, phase logs, cross-validation notes, and a final report. These artifacts document the end-to-end process from target analysis to dynamic report generation.