Crear artículos de investigación usando planificación de IA, búsqueda de Linkup y GPT-5

• •Pueden requerirse credenciales de autenticación para la API de destino
• •Clave de API de OpenAI

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        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nConnect your linkup.so credentials (adding your API key in the header or using \"generic credentials\" that you've stored for Linkup)."
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        "content": "# AI Article Research & Writing Team\n\nThis workflow mimics a professional writing process to create high-quality, sourced articles. It doesn't just write; it plans, researches, and then drafts the content.\n\n## How it works\n1.  **Plan:** An AI planner breaks your article topic into a series of sub-questions.\n2.  **Research:** It uses **Linkup** to search the web for sourced insights on each sub-question.\n3.  **Write:** A final AI writer composes the article based *only* on the sourced research, complete with hyperlinks.\n\n## How to use\n1.  **Connect Linkup:** Add your Linkup API Key to the `Query Linkup for insights` node.\n2.  **Connect AI Provider:** Connect your AI credentials to the two LLM nodes (we recommend a small model for planning and a large one for writing).\n3.  **Run:** Use the form to enter a title and guidelines to generate your sourced article.\n\n\n\n*This template was created by Guillaume Duvernay*"
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        "content": "## Retrieving insights from the web for each sub-question"
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        "content": "## AI step writing the final article based on the insights and initial request"
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        "content": "## Breaking down the topic into sub-questions"
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        "content": "## Fill in this form to request a new article"
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              "message": "=You will receive a content title and an angle. Return 3–5 non-overlapping questions in JSON array format that cover everything needed to write excellent content as it breaks down the topic into sub-questions.\n\nGuidelines:  \n- Start with simple, short broad questions for example to define the terms (e.g., What is X?, Why is X important?, How to do X?).  \n- Then move into more specific, advanced, or analytical questions.  \n- Ensure questions together form a complete coverage of the topic.   \n\n## Output format:\n\nYou'll return the questions in such a JSON ARRAY:\n\n[\n  {\n    \"question\": \"Lorem ipsum dolor sit amet, consectetur adipiscing elit?\"\n  },\n  {\n    \"question\": \"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua?\"\n  },\n  {\n    \"question\": \"Lorem ipsum dolor sit amet?\"\n  },\n  {\n    \"question\": \"Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua, ut enim ad minim veniam?\"\n  },\n  {\n    \"question\": \"Lorem ipsum dolor sit amet, consectetur?\"\n  }\n]"
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