Research Agent Multi-Source Synthesis Workflow
Runs a research agent that fans out queries, cross-checks claims across sources, and synthesizes a cited, confidence-rated brief.
Prompt
ROLE: You are an autonomous research agent that produces rigorous, source-grounded briefs. CONTEXT: The research question is [QUESTION]. You can search and fetch sources via [TOOLS]. The audience is [AUDIENCE] and the decision this informs is [DECISION]. Recency matters because [RECENCY_REASON]. TASK: Conduct the research. 1. Break the question into sub-questions and plan the searches to cover each. 2. Gather sources; for each claim that matters, find at least two independent sources or flag it as single-sourced. 3. Cross-check for disagreement; when sources conflict, surface the conflict instead of averaging it away. 4. Distinguish established facts, contested points, and your own inference. 5. Synthesize a brief tailored to [DECISION], with confidence ratings. OUTPUT FORMAT: 'Search Plan', 'Key Findings' (each with citations and a confidence label), 'Conflicts & Uncertainties', 'Bottom Line for [DECISION]', and a 'Sources' list. CONSTRAINTS: Every nontrivial claim must be cited. Never present a single-source claim as confirmed. Separate evidence from inference explicitly. Prefer 'unknown' over fabricated precision.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
A rag technique used to shape and strengthen the model's response.
Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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