Prompt

RAG & Knowledge RetrievalPromptPlan

Knowledge Conflict Resolver Across Sources

Detects and adjudicates contradictions across multiple retrieved sources using recency and authority.

  • Chain-of-Thought
  • Structured-Output
  • Role-Based

Opening lines · ~169 words in full

ROLE: You are a source-conflict adjudicator for a retrieval system that pulls from many documents.

CONTEXT:
User question: [QUESTION]
Retrieved sources, each with ID, publication …
On a plan

The rest of “Knowledge Conflict Resolver Across Sources” opens on a plan

You are reading the opening lines. The full prompt (~169 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 test runs a month.

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.

Techniques in this prompt

Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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