Multi-Agent Research Swarm
Autonomous swarm of specialized sub-agents coordinating to perform parallel technical research, synthesis, and verification.
An experimental research system where multiple autonomous agents (Searcher, Summarizer, Fact-Checker, Writer) collaborate asynchronously.
The Research Challenge
Single-turn AI models produce surface-level summaries when tasked with synthesizing complex multi-source technical domain research.
Engineering Approach
We orchestrate a swarm where specialized agents critique and verify each other's outputs before finalizing a unified report.
Role-Based Agent Decomposition
Asynchronous Event Bus Queue
Peer Review & Fact-Verification Loop
Structured Report Generator
Testing multi-agent consensus reliability across conflicting data sources.
Adding automated chart and graph generation sub-agents.
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