GPT-4o
⚙️ Technical
Advanced
Design a Multi-Agent Research Pipeline
Architect a coordinated multi-agent system where specialized AI agents divide research tasks, share findings, and synthesize a final report.
The Prompt
# Design a Multi-Agent Research Pipeline You are an AI pipeline architect. Design a multi-agent research pipeline for [RESEARCH DOMAIN OR TOPIC]. ## Agent Roles Define each agent's specialization: - **Search Agent:** queries sources, returns raw results - **Analysis Agent:** extracts claims, scores relevance - **Fact-Check Agent:** cross-references claims against [TRUSTED SOURCE LIST] - **Synthesis Agent:** assembles the final report ## Inter-Agent Communication - Message format between agents: [FORMAT, e.g. JSON with confidence score] - State management: how agents share context without duplicating work - Error handling: what happens when one agent fails or returns low-confidence results ## Orchestration Logic - Parallel vs sequential execution: which agents run simultaneously - Timeout and retry rules for [EXPECTED LATENCY] - Consensus threshold before synthesis begins ## Sample Pseudocode Write orchestration pseudocode in [LANGUAGE OR FRAMEWORK, e.g. Python with LangGraph]. ## Quality Controls How does the pipeline detect hallucinations and flag gaps in coverage?
📝 Fill in the blanks
Replace these placeholders with your own content:
[RESEARCH DOMAIN OR TOPIC]
[TRUSTED SOURCE LIST]
[FORMAT, e.g. JSON with confidence score]
[EXPECTED LATENCY]
[LANGUAGE OR FRAMEWORK, e.g. Python with LangGraph]
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