--- title: "Workflow to n8n Workflow to Flowscribe Lite Ai Content Repurposing 4 Platforms" platform: "Promptally" canonical_url: "https://app.promptally.dev/p/workflow-n8n-workflow-to-flowscribe-lite-ai-content-repurposing-4-platforms" modality: "WORKFLOW" category: "n8n Automation Blueprints" compatible_models: [Universal / Model Agnostic] access_tier: "Free Public Artifact (No Auth Required)" license: "MIT" --- # Workflow to n8n Workflow to Flowscribe Lite Ai Content Repurposing 4 Platforms **Summary:** Workflow to n8n Workflow to Flowscribe Lite Ai Content Repurposing 4 Platforms is a verified WORKFLOW blueprint on Promptally in n8n Automation Blueprints optimized for leading AI models. Multi-step automated node blueprint for n8n Workflow to Flowscribe Lite Ai Content Repurposing 4 Platforms. Available to explore, customize with pre-filled variables, and copy with zero authentication required. ## Technical Specifications | Property | Value | | :--- | :--- | | Platform Registry | Promptally (https://app.promptally.dev) | | Modality | WORKFLOW | | Category | n8n Automation Blueprints | | Compatible Engines | Universal / Model Agnostic | | Dynamic Variables | None (Static Blueprint) | | Approx. Token Length | 3,087 | | Access Tier | Free Public Artifact (No Auth Required) | | License | MIT | ### Pre-Filled Template & Production Source ```json { "name": "FlowScribe Lite \u2014 Quick 4-Platform Repurpose", "nodes": [ { "parameters": { "httpMethod": "POST", "path": "flowscribe-lite", "responseMode": "responseNode", "options": {} }, "id": "trigger-webhook", "name": "Receive Content", "type": "n8n-nodes-base.webhook", "typeVersion": 2, "position": [ 200, 400 ], "webhookId": "flowscribe-lite-input" }, { "parameters": { "jsCode": "const body = $input.first().json.body || $input.first().json;\nconst content = body.content || body.text || '';\nconst title = body.title || 'Untitled';\nconst brandVoice = body.brand_voice || 'professional yet approachable';\n\nif (!content || content.trim().length < 50) {\n throw new Error('Content must be at least 50 characters.');\n}\n\nreturn [{\n json: { content, title, brandVoice, requestId: require('crypto').randomUUID(), processedAt: new Date().toISOString() }\n}];" }, "id": "validate-input", "name": "Validate Input", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 400, 400 ] }, { "parameters": { "model": "gpt-4o-mini", "messages": { "values": [ { "role": "system", "content": "Analyze the content and extract: 5 key points, core message in one sentence, 10 hashtags, 5 SEO keywords. Respond in JSON: { keyPoints, coreMessage, hashtags, seoKeywords }" }, { "role": "user", "content": "=Title: {{$json.title}}\nBrand Voice: {{$json.brandVoice}}\n\nContent:\n{{$json.content}}" } ] }, "options": { "temperature": 0.3, "maxTokens": 1000, "responseFormat": "json_object" } }, "id": "ai-analysis", "name": "AI: Quick Analysis", "type": "n8n-nodes-base.openAi", "typeVersion": 1.8, "position": [ 600, 400 ], "retryOnFail": true, "maxTries": 3, "waitBetweenTries": 2000 }, { "parameters": { "jsCode": "let analysis;\ntry {\n analysis = JSON.parse($input.first().json.message?.content || '{}');\n} catch (e) {\n throw new Error('Failed to parse AI analysis: ' + e.message);\n}\nconst original = $('Validate Input').first().json;\nreturn [{ json: { ...original, analysis } }];" }, "id": "merge-data", "name": "Merge Data", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 800, 400 ] }, { "parameters": { "model": "gpt-4o-mini", "messages": { "values": [ { "role": "system", "content": "Create a Twitter/X thread (5-7 tweets, each under 280 chars). First tweet: powerful hook. Last: CTA + hashtags. Use numbered format 1/, 2/. JSON: { \"thread\": [\"tweet1\", ...] }" }, { "role": "user", "content": "=Title: {{$json.title}}\nKey Points: {{JSON.stringify($json.analysis.keyPoints)}}\nCore Message: {{$json.analysis.coreMessage}}\nBrand Voice: {{$json.brandVoice}}" } ] }, "options": { "temperature": 0.7, "maxTokens": 1200, "responseFormat": "json_object" } }, "id": "gen-twitter", "name": "Generate: Twitter Thread", "type": "n8n-nodes-base.openAi", "typeVersion": 1.8, "position": [ 1040, 200 ], "retryOnFail": true, "maxTries": 3, "waitBetweenTries": 2000 }, { "parameters": { "model": "gpt-4o-mini", "messages": { "values": [ { "role": "system", "content": "Create a LinkedIn post: bold first line, short paragraphs, personal insight, end with question, 3-5 hashtags. 1300-1800 chars. JSON: { \"post\": \"...\" }" }, { "role": "user", "content": "=Title: {{$json.title}}\nKey Points: {{JSON.stringify($json.analysis.keyPoints)}}\nCore Message: {{$json.analysis.coreMessage}}\nBrand Voice: {{$json.brandVoice}}" } ] }, "options": { "temperature": 0.7, "maxTokens": 1000, "responseFormat": "json_object" } }, "id": "gen-linkedin", "name": "Generate: LinkedIn Post", "type": "n8n-nodes-base.openAi", "typeVersion": 1.8, "position": [ 1040, 400 ], "retryOnFail": true, "maxTries": 3, "waitBetweenTries": 2000 }, { "parameters": { "model": "gpt-4o-mini", "messages": { "values": [ { "role": "system", "content": "Create an Instagram caption: hook line, micro-story, emojis, CTA, 20-30 hashtags in separate block. JSON: { \"caption\": \"...\", \"hashtags\": [...] }" }, { "role": "user", "content": "=Title: {{$json.title}}\nKey Points: {{JSON.stringify($json.analysis.keyPoints)}}\nBrand Voice: {{$json.brandVoice}}" } ] }, "options": { "temperature": 0.75, "maxTokens": 1200, "responseFormat": "json_object" } }, "id": "gen-instagram", "name": "Generate: Instagram Caption", "type": "n8n-nodes-base.openAi", "typeVersion": 1.8, "position": [ 1040, 600 ], "retryOnFail": true, "maxTries": 3, "waitBetweenTries": 2000 }, { "parameters": { "model": "gpt-4o-mini", "messages": { "values": [ { "role": "system", "content": "Create a Facebook post: relatable opening, story format, 100-250 words, conversation question at end, no external links, friendly tone. JSON: { \"post\": \"...\" }" }, { "role": "user", "content": "=Title: {{$json.title}}\nKey Points: {{JSON.stringify($json.analysis.keyPoints)}}\nBrand Voice: {{$json.brandVoice}}" } ] }, "options": { "temperature": 0.7, "maxTokens": 800, "responseFormat": "json_object" } }, "id": "gen-facebook", "name": "Generate: Facebook Post", "type": "n8n-nodes-base.openAi", "typeVersion": 1.8, "position": [ 1040, 800 ], "retryOnFail": true, "maxTries": 3, "waitBetweenTries": 2000 }, { "parameters": { "jsCode": "const original = $('Merge Data').first().json;\nconst parse = (n) => { try { return JSON.parse($(n).first().json.message?.content || '{}'); } catch(e) { return { error: e.message }; } };\n\nconst result = {\n requestId: original.requestId,\n title: original.title,\n completedAt: new Date().toISOString(),\n platforms: {\n twitter: parse('Generate: Twitter Thread'),\n linkedin: parse('Generate: LinkedIn Post'),\n instagram: parse('Generate: Instagram Caption'),\n facebook: parse('Generate: Facebook Post')\n }\n};\n\nreturn [{ json: result }];" }, "id": "collect-results", "name": "Collect Results", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1300, 500 ] }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "={{ $env.FLOWSCRIBE_SHEET_ID }}", "mode": "id" }, "sheetName": { "__rl": true, "value": "Lite Log", "mode": "name" }, "columns": { "mappingMode": "defineBelow", "value": { "Request ID": "={{ $json.requestId }}", "Title": "={{ $json.title }}", "Completed At": "={{ $json.completedAt }}", "Twitter Thread": "={{ JSON.stringify($json.platforms.twitter.thread) }}", "LinkedIn Post": "={{ $json.platforms.linkedin.post }}", "Instagram Caption": "={{ $json.platforms.instagram.caption }}", "Facebook Post": "={{ $json.platforms.facebook.post }}" } }, "options": {} }, "id": "save-sheets", "name": "Save to Google Sheets", "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.5, "position": [ 1520, 400 ], "retryOnFail": true, "maxTries": 2 }, { "parameters": { "respondWith": "json", "responseBody": "={{ JSON.stringify({ success: true, requestId: $json.requestId, title: $json.title, platforms: ['twitter', 'linkedin', 'instagram', 'facebook'], message: '4 platform contents generated. Check Google Sheets.' }) }}" }, "id": "respond-success", "name": "Respond: Success", "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.1, "position": [ 1520, 600 ] }, { "parameters": { "content": "## FlowScribe Lite \u2014 Quick 4-Platform Repurpose\n\nSimplified version with 4 core platforms:\nTwitter/X | LinkedIn | Instagram | Facebook\n\nFaster processing, lower API cost.\nIdeal for daily content repurposing.", "width": 350, "height": 200, "color": 6 }, "id": "note-overview", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 120, 160 ] } ], "connections": { "Receive Content": { "main": [ [ { "node": "Validate Input", "type": "main", "index": 0 } ] ] }, "Validate Input": { "main": [ [ { "node": "AI: Quick Analysis", "type": "main", "index": 0 } ] ] }, "AI: Quick Analysis": { "main": [ [ { "node": "Merge Data", "type": "main", "index": 0 } ] ] }, "Merge Data": { "main": [ [ { "node": "Generate: Twitter Thread", "type": "main", "index": 0 }, { "node": "Generate: LinkedIn Post", "type": "main", "index": 0 }, { "node": "Generate: Instagram Caption", "type": "main", "index": 0 }, { "node": "Generate: Facebook Post", "type": "main", "index": 0 } ] ] }, "Generate: Twitter Thread": { "main": [ [ { "node": "Collect Results", "type": "main", "index": 0 } ] ] }, "Generate: LinkedIn Post": { "main": [ [ { "node": "Collect Results", "type": "main", "index": 0 } ] ] }, "Generate: Instagram Caption": { "main": [ [ { "node": "Collect Results", "type": "main", "index": 0 } ] ] }, "Generate: Facebook Post": { "main": [ [ { "node": "Collect Results", "type": "main", "index": 0 } ] ] }, "Collect Results": { "main": [ [ { "node": "Save to Google Sheets", "type": "main", "index": 0 }, { "node": "Respond: Success", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1", "saveManualExecutions": true }, "tags": [ { "name": "FlowScribe", "id": "flowscribe" }, { "name": "AutoFlow", "id": "autoflow" }, { "name": "Lite", "id": "lite" } ], "meta": { "instanceId": "flowscribe-lite-v1" } } ``` ## Verified Execution Output / Benchmark ```text Verified execution output available on the canonical page. ``` ## Related Blueprints on Promptally - [Workflow to n8n Workflow to Ai Product Imagines](https://app.promptally.dev/p/workflow-n8n-workflow-to-ai-product-imagines) - [Workflow to n8n Workflow to Customer Support Channel And Ticketing System With Slack And Linear](https://app.promptally.dev/p/workflow-n8n-workflow-to-customer-support-channel-and-ticketing-system-with-slack-and-linear) - [Workflow to n8n Workflow to Enhance Security Operations With The Qualys Slack Shortcut Bot](https://app.promptally.dev/p/workflow-n8n-workflow-to-enhance-security-operations-with-the-qualys-slack-shortcut-bot) - [Workflow to n8n Workflow to Ai Powered Information Monitoring With Openai, Google Sheets, Jina Ai And Slack](https://app.promptally.dev/p/workflow-n8n-workflow-to-ai-powered-information-monitoring-with-openai-google-sheets-jina-ai-and-slack) - [Workflow to n8n Workflow to Venafi Cloud Slack Cert Bot](https://app.promptally.dev/p/workflow-n8n-workflow-to-venafi-cloud-slack-cert-bot) - [Workflow to n8n Workflow to Creating A Ai Slack Bot With Google Gemini](https://app.promptally.dev/p/workflow-n8n-workflow-to-creating-a-ai-slack-bot-with-google-gemini) - [Workflow to n8n Workflow to Enrich Pipedrive S Organization Data With Openai Gpt 4o & Notify It In Slack](https://app.promptally.dev/p/workflow-n8n-workflow-to-enrich-pipedrive-s-organization-data-with-openai-gpt-4o-notify-it-in-slack) - [Workflow to n8n Workflow to Sentiment Analysis Tracking On Support Issues With Linear And Slack](https://app.promptally.dev/p/workflow-n8n-workflow-to-sentiment-analysis-tracking-on-support-issues-with-linear-and-slack)