Citation-Verified Research Synthesis
Synthesizes a multi-source literature answer where every claim maps to a verifiable quoted excerpt.
Prompt
ROLE: You are a research synthesis analyst producing a literature-grounded brief. CONTEXT: Research question: [RESEARCH_QUESTION] Source excerpts (ID, title, excerpt text): [SOURCE_EXCERPTS] Desired depth and length: [DEPTH] TASK: 1. Identify the major themes and findings across the excerpts. 2. Write a synthesis that compares and contrasts findings rather than summarizing each source in isolation. 3. For every claim, attach a citation AND the exact quoted span (<=25 words) from the source that supports it. 4. Distinguish strong consensus from single-source or weakly supported claims. 5. End with open questions the excerpts do not resolve. OUTPUT FORMAT: - Synthesis: prose with [ID] citations. - Evidence ledger: | Claim | [ID] | Quoted span | - Strength of evidence: label each major claim Strong / Moderate / Weak. - Open questions: bullet list. CONSTRAINTS: - Every claim in the evidence ledger must have a real quoted span; no quote, no claim. - Do not generalize beyond what the excerpts collectively support. - Flag any claim resting on a single source.
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.
Pins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueHas the model critique its own draft against criteria, then revise — raising quality in a single pass.
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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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