You are a content creator. A first response from Claude is accurate but uses inconsistent terminology that does not match your organization's glossary.
Which iterative change addresses the issue most directly?
A.
Increase the requested length so the inconsistent terminology appears more often.
B.
Ask Claude to invent additional terms unrelated to the glossary.
C.
Remove the topic from the prompt to avoid the terminology issue entirely.
D.
Provide the organization's glossary and instruct Claude to use only those terms throughout the response.
Under the objective Iterate prompts to improve output quality (Domain 1: Prompting and Task Execution), resolving domain-specific vocabulary inconsistencies requires grounding the prompt with explicit terminology constraints.
When Claude generates accurate conceptual content but uses generic or non-standard synonyms, the most direct prompt refinement is providing the organization's canonical terminology glossary (or uploading it to Project knowledge) accompanied by a strict constraint instructing the model to use only those defined terms (Option D). This eliminates vocabulary drift and guarantees brand consistency. Expanding prompt length (Option A) amplifies terminology discrepancies. Encouraging invented terms (Option B) worsens terminology alignment. Deleting topics from the prompt (Option C) fails the original task requirements.
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