Transform RSS Feeds into Platform-Optimized Content with GPT-4o for Medium, LinkedIn & Instagram

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              "fieldToAggregate": "title"
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        "text": "=I want you to analyze the following for my company. Find me the best articles to use in my medium post. My company is about AI Agents & Automation. Pick up to 3. Reply ONLY with a comma-separated list of the IDs (e.g., 3,7,12).\n\n{{ $json.forAI }}\n\n",
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        "text": "=Maak een medium post gebaseerd op de volgende artiekelen.\n\n{{ $json.links }}",
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          "systemMessage": "Jij bent de content creator voor Codint, een AI-automation & agents studio die bedrijven helpt slimmer, sneller en efficiënter te werken.\nGebruik altijd de Codint tone of voice:\n- Professioneel, innovatief en menselijk\n- Korte, duidelijke en actieve zinnen\n- Direct de lezer aanspreken (“jij”, “je bedrijf”)\n- Technische termen simpel uitleggen met voorbeelden of metaforen\n- Positief en toekomstgericht schrijven\n- Eindig vaak met een vraag of call-to-action\n- Gebruik empathische en resultaatgerichte taal (focus: tijd besparen, groei, eenvoud)\n- Link het altijd weer terug aan codint. Codint biedt een gratis AI consult."
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        "subject": "Je nieuwe medium post is hier!"
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        "text": "Het volgende is gepost op ons medium platform:\n{{ $json.output }}\n\nIk wil dat je dit als basis gebruikt, voor een post op zowel LinkedIn als Instagram.\nOutput alleen de content. Gebruik het volgende structuur:\n\nLinkedin:\n[content]\n\n\nInstagram:\n[content]",
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          "systemMessage": "Jij bent de content creator voor Codint, een AI-automation & agents studio die bedrijven helpt slimmer, sneller en efficiënter te werken.\n\nGebruik altijd de Codint tone of voice:\n- Professioneel, innovatief en menselijk\n- Korte, duidelijke en actieve zinnen\n- Direct de lezer aanspreken (“jij”, “je bedrijf”)\n- Technische termen simpel uitleggen met voorbeelden of metaforen\n- Positief en toekomstgericht schrijven\n- Eindig vaak met een vraag of call-to-action\n- Gebruik empathische en resultaatgerichte taal (focus: tijd besparen, groei, eenvoud)\n- Link het altijd weer terug aan codint. Codint biedt een gratis AI consult.\n\nPas je stijl aan per platform:\n - Instagram: luchtig, visueel, kort\n- LinkedIn: zakelijk, thought-leadership, case studies"
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        "sendTo": "[email protected]",
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        "subject": "Linkedn & Instagram content!"
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        "content": "# Collecting the news"
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        "jsCode": "// Inputs expected from Aggregate/RSS: arrays: title[], content[], link[]\nconst all = items[0].json;              // aggregated item\nconst titles = all.title || [];\nconst contents = all.content || [];\nconst links = all.link || [];\n\nconst articles = [];\nconst lines = [];\n\nconst maxLen = Math.max(titles.length, contents.length, links.length);\nfor (let i = 0; i < maxLen; i++) {\n  const obj = {\n    id: i + 1,                          // stable ID (1..N). Use guid if you have one.\n    title: titles[i] ?? \"\",\n    content: contents[i] ?? \"\",\n    link: links[i] ?? \"\"\n  };\n  articles.push(obj);\n  // Short preview for the AI to choose from:\n  const preview = (obj.content || \"\").replace(/\\s+/g, \" \").slice(0, 220);\n  lines.push(`${obj.id}. ${obj.title}\\n${preview}${preview.length === 220 ? \"…\" : \"\"}`);\n}\n\nreturn [\n  {\n    json: {\n      articles,                         // keep the structured mapping\n      forAI: lines.join(\"\\n\\n\")         // human-readable list for the model\n    }\n  }\n];"
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      "name": "Find the urls the ai outputted",
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      "position": [
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        "jsCode": "// Code node — Run Once for All Items\n\n// 1) Read AI output text (your AI Agent uses `output`)\nlet aiText =\n  (items[0]?.json?.output ??\n   items[0]?.json?.result ??\n   items[0]?.json?.text ??\n   items[0]?.json?.response ??\n   \"\").toString().trim();\n\n// Fallback: read directly from the AI Agent node by name if not passed through\nif (!aiText) {\n  const ai = $items(\"Best Article finder\", 0, 0);   // <-- change to your AI node name if different\n  if (Array.isArray(ai) && ai.length) {\n    aiText = (ai[0].json.output ?? ai[0].json.result ?? ai[0].json.text ?? \"\").toString().trim();\n  }\n}\n\nif (!aiText) {\n  throw new Error(\"AI output is empty. Make sure the AI Agent node's field name is 'output' (or adjust above).\");\n}\n\n// 2) Get articles array from builder node\nlet articles = items[0]?.json?.articles;\nif (!articles) {\n  const built = $items(\"group the news into 1 item\", 0, 0);   // <-- change \"Code1\" to your builder node name\n  if (Array.isArray(built) && built.length) {\n    articles = built[0]?.json?.articles;\n  }\n}\nif (!Array.isArray(articles)) {\n  throw new Error(\"Couldn't find 'articles' array. Ensure the builder node outputs { json: { articles: [...] } }.\");\n}\n\n// 3) Extract numeric IDs (handles commas, spaces, newlines, bullets)\nconst ids = (aiText.match(/\\d+/g) || []).map(n => parseInt(n, 10));\n\n// 4) Map IDs → full article objects\nconst chosen = ids\n  .map(id => articles.find(a => a.id === id))\n  .filter(Boolean);\n\n// 5) Return one item with arrays\nreturn [{\n  json: {\n    raw: aiText,\n    ids,                                  // e.g., [2,18,45]\n    chosen,                                // [{id, title, content, link}, ...]\n    titles: chosen.map(c => c.title),\n    links: chosen.map(c => c.link)\n  }\n}];"
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        "jsCode": "// Code node — Run Once for All Items\n\n// Collect all links from input items\nconst links = [];\nfor (const item of $input.all()) {\n  if (item.json.link) {\n    links.push(item.json.link);\n  }\n  // if articles are inside \"chosen\" array:\n  if (Array.isArray(item.json.chosen)) {\n    for (const c of item.json.chosen) {\n      if (c.link) links.push(c.link);\n    }\n  }\n}\n\n// Return as one item with all links\nreturn [\n  {\n    json: {\n      links,                          // array of links\n      linksString: links.join(\"\\n\")   // optional: single string\n    }\n  }\n];"
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        "width": 624,
        "height": 720,
        "content": "# Generate content based on the news for Medium, Linkedin & Instagram\n"
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        "content": "# This automation is made by Codint\n\nHow to use this workflow?\n1. Update the RSS feed node, to a relevant news source \n2. Change the prompt in the Best article finder to tailor for you company. Do this by using AI for an even better result.\n3. Use an AI to change the system-prompts in the content generators. Make sure to include a tone of voice here!\n4. Update where the emails are being send.\n\n\nPotential improvements and why it isn't included:\n- You could add a loop after sending the mail, so that the user can accept, change or cancel the post. We have decided to not do this to save cost, since you can create a similar gpt and update it in there for free.\n- Automatically post the contents,  AI can make mistakes a human in the loop is always valuable\n- More and other platforms to post on\n"
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      "position": [
        -3200,
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      "parameters": {
        "width": 1296,
        "height": 416,
        "content": "# 📰 Related News to Content Marketing\n\nThis workflow collects news from an RSS feed, finds the best article, and generates shareable content for Medium, LinkedIn, and Instagram using OpenAI. Drafts are sent to your email for review before posting.\n\n## Quick Setup\n\t1.\tRSS Feed → Update the RSS Read node with your preferred news source(s).\n\t2.\tOpenAI → Add your API key in the Chat Model node and adjust prompts if needed.\n\t3.\tEmail → Connect Gmail (or another service) in the Send Content Confirmation nodes and change mail to your personal mail\n\t4.\tRun → Test manually, then enable the Schedule Trigger for automation.\n\n## ✅ Perfect for marketers, social media managers, and creators who want consistent, AI-powered content."
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