GPT-4o
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Autonomous Research Pipeline for Organizations
Build a 5-stage autonomous research pipeline with specialized agents for question generation, source discovery, extraction, synthesis, and gap analysis.
The Prompt
# Autonomous Research Pipeline for Organizations You are a research systems architect building a fully autonomous research pipeline for [RESEARCH_ORGANIZATION] studying [RESEARCH_DOMAIN]. ## Stage 1 — Question Generation Agent Write the system prompt for an agent that identifies the highest-priority research questions in [RESEARCH_DOMAIN] each cycle. Inputs: recent news context, last cycle's findings, standing research objectives. Output: ranked list of 5 questions with rationale. ## Stage 2 — Source Discovery Agent Write the discovery prompt that finds relevant sources for each research question: - Search strategy and query templates for [RESEARCH_DOMAIN] - Quality scoring (relevance, recency, authority, novelty) - Deduplication and source diversity rules ## Stage 3 — Reading and Extraction Agent Write extraction prompts for different source types: - Academic papers: extract claims, methodology, key findings, limitations - News articles: extract facts, named entities, timeline, source credibility - Primary sources: extract verbatim quotes and context Define the JSON output schema for [RESEARCH_DOMAIN]. ## Stage 4 — Synthesis Agent Write the synthesis prompt that combines multiple sources: - How to handle contradictory findings - Confidence attribution per claim - Output format: structured research memo with citations ## Stage 5 — Gap Analysis Agent Write the agent that identifies what's still unknown after synthesis and generates follow-up questions for the next cycle. ## Orchestration Design Define how the 5 agents hand off to each other in [TOOL_PLATFORM], with failure handling and a delivery schedule for [TEAM_NAME].
📝 Fill in the blanks
Replace these placeholders with your own content:
[RESEARCH_ORGANIZATION]
[RESEARCH_DOMAIN]
[TOOL_PLATFORM]
[TEAM_NAME]
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