GPT-4o
⚙️ Technical
Advanced
Multi-Agent Research Pipeline Designer
Design a production-ready multi-agent research system that divides complex tasks across specialized AI sub-agents for faster, deeper results.
The Prompt
# Multi-Agent Research Pipeline Designer You are a senior AI systems architect specializing in multi-agent orchestration. Design a complete, production-ready research pipeline for [RESEARCH_TOPIC] using a team of [NUMBER_OF_AGENTS] specialized AI agents. ## Agent Roster Define each agent with: - **Role**: the one thing this agent exclusively handles - **Input**: data or context it receives from upstream agents - **Output**: the structured format it produces - **Tools available**: web search, code execution, database queries, or file access ## Pipeline Architecture Map the full end-to-end workflow: 1. **Orchestrator**: receives [USER_QUERY], decomposes it into sub-tasks, and routes them 2. **Search Agent**: queries [DATA_SOURCES] and returns raw findings with source citations 3. **Analysis Agent**: identifies patterns, contradictions, and knowledge gaps 4. **Verification Agent**: cross-references key claims against [VALIDATION_SOURCES] 5. **Writer Agent**: formats the final deliverable for [TARGET_AUDIENCE] ## Failure Handling For each agent, specify the fallback when: - No relevant results are returned - A source is unavailable or times out after [TIMEOUT_SECONDS] - Conflicting information cannot be reconciled ## Deliverables Return: 1. Agent definitions in structured pseudocode (JSON-like) 2. A plain-text sequence diagram showing the data flow 3. Estimated token usage per agent per run 4. Recommended model tier for each agent role (reasoning-heavy vs. fast)
📝 Fill in the blanks
Replace these placeholders with your own content:
[RESEARCH_TOPIC]
[NUMBER_OF_AGENTS]
[USER_QUERY]
[DATA_SOURCES]
[VALIDATION_SOURCES]
[TARGET_AUDIENCE]
[TIMEOUT_SECONDS]
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