Research: Multi-Source Synthesis Swarm

Objective

Reduce time-to-brief for research questions while increasing source quality, citation traceability, and reviewer confidence.

Architecture

A planner agent decomposes the research question, retrieval agents gather candidate sources, a verifier agent scores credibility, and a synthesis agent produces a structured brief for human review.

Tools and integrations

Search APIs, document parsers, citation storage, similarity clustering, and reviewer feedback capture for iterative refinements.

Baseline

Manual synthesis workflows were slow and inconsistent, with frequent source duplication and weak provenance tracking across drafts.

Outcome

Teams produced faster first drafts with clearer citations and fewer unsupported claims, improving handoff speed to decision-makers.

Lessons learned

Verifier quality thresholds and strict source-type policies mattered more than retrieval volume; fewer high-confidence sources outperformed broad noisy collections.

Related pages

MCP in Agentic Architectures · Planner-Driven vs Event-Driven Orchestration · Scope Agent Permissions Safely

Conversion path

Design your first swarm, then join early access for rollout updates.

Common questions

What made this workflow successful? Strict verifier thresholds and source policies improved quality more than increasing retrieval volume.

Can this pattern work outside research teams? Yes, any workflow that depends on evidence quality and synthesis handoffs can adapt the same role pattern.