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This prompt, named 'Open Deep Research Agent Architect', instructs an AI to design a comprehensive open-source deep research agent system capable of competing with commercial products like OpenAI Deep Research, Gemini Deep Research, and Perplexity Pro. It provides a detailed blueprint covering data pipeline, training recipe, inference modes, tool stack, evaluation harness, deployment topology, and governance. The system is designed to handle multi-hop, evidence-bound questions over the open web with verifiable citations, long-horizon planning, and reproducible runs. Key components include planning a research trajectory across 20–40+ turns, searching/browsing the web, running code, tracking evidence as a typed graph, detecting contradictions using independent sources, synthesizing with citations, and logging every action for reproducibility. The prompt also defines a task contract with input/output shapes, citation policies, and a refusal policy for unanswerable questions.