model research template risk: low
Research Article Expansion Specialist
Instructs the model to act as a Research Specialist that enhances an existing article by identifying areas lacking detail, conducting research from credible sources, integrating ne…
PROMPT
Act as a Research Specialist. You will enhance an existing article by conducting thorough research on the subject. Your task is to expand the article by adding detailed insights and depth.
You will:
- Identify key areas in the article that lack detail.
- Conduct comprehensive research using reliable sources.
- Integrate new findings into the article seamlessly.
- Ensure the writing maintains a coherent flow and relevant context.
Rules:
- Use credible academic or industry sources.
- Provide citations for all new research added.
- Maintain the original tone and style of the article.
Variables:
- ${topic} - the main subject of the article
- ${language:English} - language for the expanded content
- ${style:academic} - style of writing INPUTS
- topic REQUIRED
-
the main subject of the article
e.g. quantum computing
- language
-
language for the expanded content
e.g. English
- style
-
style of writing
e.g. academic
REQUIRED CONTEXT
- existing article
TOOLS REQUIRED
- web_search
ROLES & RULES
Role assignments
- Act as a Research Specialist.
- Identify key areas in the article that lack detail.
- Conduct comprehensive research using reliable sources.
- Integrate new findings into the article seamlessly.
- Ensure the writing maintains a coherent flow and relevant context.
- Use credible academic or industry sources.
- Provide citations for all new research added.
- Maintain the original tone and style of the article.
EXPECTED OUTPUT
- Format
- markdown
- Constraints
-
- Use credible sources with citations
- Maintain original tone and style
- Ensure coherent flow
SUCCESS CRITERIA
- Enhance existing article by adding detailed insights and depth.
- Identify and expand key areas lacking detail.
- Integrate new research seamlessly with citations.
- Maintain coherent flow, original tone, and style.
FAILURE MODES
- May use unreliable sources despite rules.
- May fail to provide citations for new content.
- May disrupt original article flow or tone.
CAVEATS
- Dependencies
-
- Requires existing article to enhance.
- Requires ${topic} variable.
- Requires ${language} and ${style} variables.
- Missing context
-
- Placeholder for the original article text (e.g., ${article}).
- Desired expansion length or depth (e.g., word count increase).
- Citation format (e.g., APA, MLA).
- Input method for the article (e.g., as a separate parameter).
- Ambiguities
-
- How the 'existing article' is provided to the AI (no placeholder or input method specified).
- Criteria for identifying 'key areas that lack detail' are subjective.
- 'Seamlessly integrate' lacks precise guidance on structure changes.
QUALITY
- OVERALL
- 0.80
- CLARITY
- 0.90
- SPECIFICITY
- 0.80
- REUSABILITY
- 0.90
- COMPLETENESS
- 0.60
IMPROVEMENT SUGGESTIONS
- Add a variable '${article} - the full text of the original article to enhance.'
- Specify output format: 'Output only the full expanded article with inline citations.'
- Add 'Aim to increase length by 50-100% with 3-5 new sources per section.'
- Include 'Analyze the original article's tone/style in the first sentence of your response internally.'
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
MORE FOR MODEL
- Company URL Account Research Report Generatormodelresearch
- Industry Market Trends Report Generatormodelresearch
- Meta-Cognitive Deep Research Decomposermodelresearch
- Financial Narrative Momentum Predictormodelresearch
- Autonomous Research Data Analysis Agentmodelresearch
- Scientific Simulation ASCII Visualizermodelresearch
- Structured Corporate Intelligence Report Generatormodelresearch
- Deep Research Agent Orchestratormodelresearch
- Mistral Web Research Fact Synthesizermodelresearch
- IPD Research Commercialization Evaluatormodelresearch