This workflow follows the Agent → Form Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "R38 Improved",
"nodes": [
{
"parameters": {
"resource": "image",
"operation": "analyze",
"modelId": {
"__rl": true,
"value": "chatgpt-4o-latest",
"mode": "list",
"cachedResultName": "CHATGPT-4O-LATEST"
},
"text": "Return the analysis in YAML format with the following fields:\n\nbrand_name: (Name of the brand shown in the image, if visible or inferable)\ncolor_scheme:\n - hex: (Hex code of each prominent color used)\n name: (Descriptive name of the color)\nfont_style: (Describe the font family or style used: serif/sans-serif, bold/thin, etc.)\nvisual_description: (A full sentence or two summarizing what is seen in the image, ignoring the background)\n\nOnly return the YAML. Do not explain or add any other comments.\n",
"imageUrls": "={{ $json.data.downloadUrl }}",
"simplify": false,
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.openAi",
"typeVersion": 1.8,
"position": [
-656,
272
],
"id": "5b0db44e-64be-41a0-b799-88b640583136",
"name": "Analyze Image",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"content": "## INPUT: Any Product",
"height": 272,
"width": 720,
"color": 7
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-1216,
192
],
"id": "8b186a50-0414-4d59-b279-7674405ae234",
"name": "Sticky Note2"
},
{
"parameters": {
"formTitle": "Create Ads",
"formFields": {
"values": [
{
"fieldLabel": "Character",
"fieldType": "textarea",
"placeholder": "Describe your character..."
},
{
"fieldLabel": "How many clips",
"fieldType": "number",
"placeholder": "1",
"requiredField": true
},
{
"fieldLabel": "Describe the scenes you want",
"fieldType": "textarea",
"placeholder": "I want the dialogue to be...",
"requiredField": true
},
{
"fieldLabel": "Product image",
"fieldType": "file",
"multipleFiles": false
}
]
},
"options": {
"appendAttribution": false
}
},
"type": "n8n-nodes-base.formTrigger",
"typeVersion": 2.3,
"position": [
-1168,
272
],
"id": "0327658c-0fbf-47e9-9c34-ace726075e06",
"name": "Form"
},
{
"parameters": {
"method": "POST",
"url": "https://kieai.redpandaai.co/api/file-base64-upload",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "base64Data",
"value": "={{ $json.data }}"
},
{
"name": "uploadPath",
"value": "documents/uploads"
},
{
"name": "fileName",
"value": "={{ $now }}.jpg"
}
]
},
"options": {
"batching": {
"batch": {
"batchSize": 1,
"batchInterval": 2000
}
}
}
},
"id": "3e316a19-7ddd-4473-bf2c-2d63c4dca659",
"name": "Image URL",
"type": "n8n-nodes-base.httpRequest",
"position": [
-832,
272
],
"typeVersion": 4,
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"onError": "continueRegularOutput"
},
{
"parameters": {
"operation": "binaryToPropery",
"binaryPropertyName": "Product_image",
"options": {}
},
"type": "n8n-nodes-base.extractFromFile",
"typeVersion": 1,
"position": [
-1008,
272
],
"id": "8bb52680-ccf5-417d-994d-855045d00b49",
"name": "Load Image",
"alwaysOutputData": true,
"onError": "continueRegularOutput"
},
{
"parameters": {
"aggregate": "aggregateAllItemData",
"options": {}
},
"type": "n8n-nodes-base.aggregate",
"typeVersion": 1,
"position": [
-240,
544
],
"id": "fa732a5a-22b5-4cf1-87bf-28ffa20ee631",
"name": "Aggregate"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "15886c9d-073b-4983-97d8-061a38fd7f60",
"name": "Scene",
"value": "={{ $json.prompt }}",
"type": "string"
},
{
"id": "7793db14-777e-4bc9-bb4d-434026d45f27",
"name": "duration",
"value": "={{ $json.duration }}",
"type": "number"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
240,
112
],
"id": "3f35edcf-95d9-4615-a29a-1391bd9a6764",
"name": "Edit Fields2"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "9cadb48a-82bd-4b0b-9eec-2b805024ca59",
"name": "data",
"value": "={{ $json.data }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-64,
544
],
"id": "e2895240-fd47-41cf-8a62-a7547c8ec2fa",
"name": "Edit Fields3"
},
{
"parameters": {
"fieldsToSummarize": {
"values": [
{
"aggregation": "sum",
"field": "duration"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.summarize",
"typeVersion": 1.1,
"position": [
448,
112
],
"id": "90900cbb-9ed8-46e0-8e8c-e19c6f938431",
"name": "Summarize"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "1349cb6a-6e77-400b-9936-9ede41274345",
"leftValue": "={{ $json.sum_duration }}",
"rightValue": 25,
"operator": {
"type": "number",
"operation": "gt"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
672,
112
],
"id": "679203cf-9844-4040-af16-3de688fa23bd",
"name": "If"
},
{
"parameters": {
"errorMessage": "total duration must be one of 10, 15, 25"
},
"type": "n8n-nodes-base.stopAndError",
"typeVersion": 1,
"position": [
864,
-80
],
"id": "29cef3ba-57b8-4605-9566-c0d9b707a71b",
"name": "Stop and Error2"
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
"typeVersion": 1,
"position": [
-432,
-80
],
"id": "83194ab0-f9b3-4c38-92e7-2019335fac44",
"name": "Calculator"
},
{
"parameters": {
"jsCode": "const editFields2Data = $(\"Edit Fields2\")\n .all()\n .map((item) => item.json);\nreturn editFields2Data;\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-400,
544
],
"id": "d75f3492-2e4d-4c2a-919c-70c241b03319",
"name": "Code in JavaScript"
},
{
"parameters": {
"unit": "minutes"
},
"type": "n8n-nodes-base.wait",
"typeVersion": 1.1,
"position": [
320,
544
],
"id": "d6e8def5-3cbf-4a0e-bdf6-78e373be4121",
"name": "Wait1"
},
{
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "a96f17f2-5967-4b13-acc9-4d41f226453b",
"leftValue": "={{ $json.data.state }}",
"rightValue": "=success",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "success"
},
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "52ad92ea-901f-4af8-a462-84b045dd2803",
"leftValue": "={{ $json.data.state }}",
"rightValue": "ing",
"operator": {
"type": "string",
"operation": "contains"
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "in progress"
}
]
},
"options": {
"fallbackOutput": "extra"
}
},
"type": "n8n-nodes-base.switch",
"typeVersion": 3.2,
"position": [
720,
528
],
"id": "c0084aba-84a2-4ae7-bc94-a3828cdf1f82",
"name": "Switch1"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-4.1-mini",
"mode": "list",
"cachedResultName": "gpt-4.1-mini"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
-320,
-80
],
"id": "c54699a9-a935-42b8-ac16-2fafcb87a90d",
"name": "GPT1",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.toolThink",
"typeVersion": 1,
"position": [
-96,
-80
],
"id": "69457c19-7345-41e8-97f1-a3341280ffc2",
"name": "Think1"
},
{
"parameters": {
"jsonSchemaExample": "{\n \"scenes\": [\n {\n \"shot\": 1,\n \"duration\": 7,\n \"prompt\": \"@debtfree_journey. Handheld medium shot of a man in his mid-30s with short dark hair and a navy t-shirt, sitting at a kitchen table scattered with bills, holding a pen over a credit card statement, natural window light from the left creating soft shadows. Character says: 'I used to lose sleep every night worrying about my debt.'\"\n },\n {\n \"shot\": 2,\n \"duration\": 4,\n \"prompt\": \"Slow pan across a stack of credit card bills with 'PAST DUE' stamps visible, no visible personal data, blurred account numbers, resting on a dark wood surface with dramatic side lighting. Character is not visible. Voiceover says: 'The interest charges kept piling up.'\"\n },\n {\n \"shot\": 3,\n \"duration\": 6,\n \"prompt\": \"Static close-up of the same character looking directly at camera with a relieved expression, holding the Americor welcome packet, bright even lighting, clean background. Character says: 'Americor helped me consolidate everything into one manageable payment.'\"\n },\n {\n \"shot\": 4,\n \"duration\": 8,\n \"prompt\": \"Slow push-in on the Americor mobile app dashboard showing decreasing debt graph and payment timeline, displayed on smartphone screen, soft desk lamp lighting, modern minimalist background. Character is not visible. Voiceover says: 'Now I'm finally on track to becoming debt-free within three years.'\"\n }\n ]\n}"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.2,
"position": [
-208,
-80
],
"id": "3c052a8f-37ba-4fe9-b9ed-c5e404a78872",
"name": "Structure1"
},
{
"parameters": {
"promptType": "define",
"text": "=Number of clips: {{ $('Form').item.json['How many clips'] }}\n\nCharacter: {{ $('Form').item.json.Character }}\n\nDescription of scenes: {{ $('Form').item.json['Describe the scenes you want'] }}\n\nProduct description: {{ $json.choices[0].message.content }}\n\nAlways use the Think tool.\n",
"hasOutputParser": true,
"options": {
"systemMessage": "=## ROLE & PURPOSE\nYou are a Sora2 video prompt writer for n8n automation. Convert shot lists into natural-language narrative prompts for UGC-style video generation. Generate complete video sequences with multiple shots that total approximately 25 seconds.\n\n## CORE RULES\n\n### Processing Logic\n- Generate one scene object for each shot in the input\n- Maintain character consistency across all UGC shots\n- Calculate individual durations so total \u2248 25 seconds\n\n### DURATION REQUIREMENT:\n- The total sum of all scene durations MUST equal exactly 25 seconds\n- Distribute the 25 seconds appropriately across all scenes\n- USE A CALCULATOR to verify the total duration adds up to exactly 25 before finalizing output\n- Example: 4 scenes could be 7+5+6+7=25 or 6+6+6+7=25\n\nThe agent must intelligently assign duration to each shot based on:\n- Shot type (UGC vs B-roll)\n- Line length and complexity\n- Shot position in sequence\n\n**Duration guidelines**:\n- **UGC shots** (character speaking on camera):\n - Short line (5-10 words): 3-5 seconds\n - Medium line (11-20 words): 6-8 seconds\n - Long line (21+ words): 9-12 seconds\n \n- **B-roll shots** (voiceover + product/environment):\n - Quick cutaway: 2-4 seconds\n - Standard B-roll: 5-7 seconds\n - Extended product showcase: 8-10 seconds\n\n- **First shot** (shot_number: 1): Typically 6-8 seconds (establishes character)\n- **Final shot**: Typically 5-7 seconds (concluding statement)\n\n**Important**: Calculate duration that makes sense for the line length and shot type. The duration must be an integer (whole number of seconds).\n\n### UGC vs B-Roll Logic\n- **UGC shots**: Character is on camera speaking the line directly\n - Use: `Character says: \"<line>\".`\n - Character must be visible and looking at camera\n \n- **B-roll shots**: Product or environment shown, line is voiceover\n - Use: `Voiceover says: \"<line>\".`\n - Character is NOT visible\n\n### Character Consistency\n- **Shot 1**: Must be UGC. Agent must generate a full character description:\n - Gender presentation (man, woman, person)\n - Approximate age range (e.g., \"early 20s\", \"mid-30s\", \"late 40s\")\n - Body type (if relevant: \"athletic build\", \"medium build\")\n - Hairstyle and hair color (e.g., \"shoulder-length brown hair\", \"short gray hair\")\n - Clothing style (e.g., \"casual gray sweater\", \"professional blazer\")\n - Product interaction (held, worn, pointed at)\n - Indoor environment (kitchen table, living room sofa, home office desk)\n - Lighting palette (soft window light, warm lamp, bright even lighting)\n\n- **All subsequent shots**: Refer to character only as `\"the same character\"`\n - Do NOT re-describe appearance\n - Maintain consistency with shot 1\n - Example: `\"Medium shot of the same character...\"`\n\n### Prompt Requirements\nEach prompt must include **exactly one** of each:\n1. **Camera framing** (close-up, medium, wide, over-shoulder, etc.)\n2. **Camera motion** (handheld sway, slow push-in, static, pan, tilt, etc.)\n3. **Visible action** (holding product, gesturing, placing item, pointing, etc.)\n\n### Natural Language Format\n- Write as one continuous narrative description\n- No structured blocks or metadata tags\n- Natural, production-ready language\n- Include lighting, environment, and character/product positioning\n\n## OUTPUT SCHEMA\n\n**Output only a JSON object with a scenes array:**\n\n```json\n{\n \"scenes\": [\n {\n \"shot\": 1,\n \"duration\": 7,\n \"prompt\": \"Natural language narrative prompt goes here...\"\n },\n {\n \"shot\": 2,\n \"duration\": 4,\n \"prompt\": \"Another natural language narrative prompt...\"\n }\n ]\n}\n```\n\n**Field descriptions**:\n- `scenes`: Array of shot objects (length determined by input)\n- `shot`: Integer sequence number (1, 2, 3...)\n- `duration`: Integer (seconds) - calculated by agent based on shot type and line length\n- `prompt`: Natural language narrative description\n\n## PROMPT CONSTRUCTION FORMULA\n\n### For UGC Shots (shot_type: \"ugc\")\n```\n[Character] [Camera motion] [camera framing] of [character reference] [action with product], [environment details], [lighting description]. Character says: \"[line]\".\n```\n\n**Example**:\n```\nHandheld close-up of a woman in her late 20s with shoulder-length brown hair wearing a casual gray sweater, holding the Americor debt relief brochure at chest height, seated at a kitchen table with soft morning window light. Character says: \"I was drowning in credit card bills and didn't know where to turn.\"\n```\n\n### For B-Roll Shots (shot_type: \"broll\")\n```\n[Camera motion] [camera framing] of [product/environment], [setting details], [lighting description]. Character is not visible. Voiceover says: \"[line]\".\n```\n\n**Example**:\n```\nSlow push-in toward the Americor mobile app interface displayed on a smartphone resting on a wooden desk, warm afternoon sunlight, shallow depth of field. Character is not visible. Voiceover says: \"That's when I discovered Americor's debt consolidation program.\"\n```\n\n## CHARACTER REFERENCE LOGIC\n\n**If shot_number == 1:**\n- Agent must generate a realistic, detailed character description\n- This establishes the character for the entire video\n- Include all elements: age, gender, hair, clothing, environment, lighting\n\n**If shot_number > 1 AND shot_type == \"ugc\":**\n- Use only: `\"the same character\"`\n- Example: `\"Medium shot of the same character seated comfortably, holding the product...\"`\n\n**If shot_type == \"broll\":**\n- Character reference: `\"Character is not visible\"`\n\n\n## TOOLS\n- **Think Tool**: Use before generating to plan the narrative structure\n\nABSOLUTELY CRITICAL - DOUBLE QUOTE PROHIBITION:\n- NEVER use the \" character (double quote) anywhere in your response\n- ALWAYS use ' (single quote) for all quotations, dialogue, and emphasis\n- Example: Character says: 'I am speaking' NOT \"I am speaking\"\n\n## FINAL INSTRUCTIONS\n- Output ONLY the JSON object with a `scenes` array\n- Number of scenes in array must equal the `shots` input parameter\n- No additional commentary, explanations, or prose\n- **Calculate appropriate duration** for each shot based on line length and shot type\n- Ensure each prompt reads as one natural sentence or short paragraph\n- Validate required fields for each shot: `shot`, `duration`, `prompt`\n- `duration` must be an integer (whole number of seconds)"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.9,
"position": [
-352,
112
],
"id": "1c5e6e31-0b9f-474f-9bb8-006ed99a6d78",
"name": "promptRobo AIAgent1"
},
{
"parameters": {
"method": "POST",
"url": "https://api.kie.ai/api/v1/jobs/createTask",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"sendBody": true,
"contentType": "raw",
"rawContentType": "application/json",
"body": "={\n \"model\": \"sora-2-pro-storyboard\",\n \"input\": {\n \"n_frames\": \"25\",\n \"aspect_ratio\": \"portrait\",\n \"shots\": {{ $json.data }}\n }\n}",
"options": {
"batching": {
"batch": {
"batchSize": 1
}
}
}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
128,
544
],
"id": "8cfa2f5a-beda-40b7-b863-5ab9bb759e98",
"name": "Create Sora",
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"url": "=https://api.kie.ai/api/v1/jobs/recordInfo?taskId={{ $('Create Sora').item.json.data.taskId }}",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
512,
544
],
"id": "225a71b3-77c5-4ce2-a0b5-e7194436472b",
"name": "Get Sora",
"alwaysOutputData": false,
"retryOnFail": false,
"waitBetweenTries": 5000,
"executeOnce": false,
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"onError": "continueRegularOutput"
},
{
"parameters": {
"url": "={{ JSON.parse($json.data.resultJson).resultUrls[0] }}\n",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
944,
384
],
"id": "a7bce756-1a64-4486-b777-d7c927534444",
"name": "Load Video1"
},
{
"parameters": {
"errorMessage": "={{ $('Get Sora').item.json.data.failMsg }}"
},
"type": "n8n-nodes-base.stopAndError",
"typeVersion": 1,
"position": [
960,
672
],
"id": "a193a16a-a2dd-46f2-9e4d-56165b2a43ca",
"name": "Stop and Error1"
},
{
"parameters": {
"fieldToSplitOut": "output.scenes",
"options": {}
},
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
32,
112
],
"id": "8e689a39-f36f-4912-97b8-be8e6a78dd7e",
"name": "Split Out1"
},
{
"parameters": {
"content": "## Scene Generation\n",
"height": 512,
"width": 1552,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"position": [
-464,
-208
],
"typeVersion": 1,
"id": "a56bdea9-e3f4-47f0-9899-84480d62ec61",
"name": "Sticky Note"
},
{
"parameters": {
"content": "## Video Generation",
"height": 512,
"width": 1568
},
"type": "n8n-nodes-base.stickyNote",
"position": [
-464,
336
],
"typeVersion": 1,
"id": "35a2e5c3-f1e6-463f-acf3-dcb1086b4e9b",
"name": "Sticky Note1"
}
],
"connections": {
"Analyze Image": {
"main": [
[
{
"node": "promptRobo AIAgent1",
"type": "main",
"index": 0
}
]
]
},
"Form": {
"main": [
[
{
"node": "Load Image",
"type": "main",
"index": 0
}
]
]
},
"Load Image": {
"main": [
[
{
"node": "Image URL",
"type": "main",
"index": 0
}
]
]
},
"Image URL": {
"main": [
[
{
"node": "Analyze Image",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Edit Fields3",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields2": {
"main": [
[
{
"node": "Summarize",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields3": {
"main": [
[
{
"node": "Create Sora",
"type": "main",
"index": 0
}
]
]
},
"Summarize": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"If": {
"main": [
[
{
"node": "Stop and Error2",
"type": "main",
"index": 0
}
],
[
{
"node": "Code in JavaScript",
"type": "main",
"index": 0
}
]
]
},
"Calculator": {
"ai_tool": [
[
{
"node": "promptRobo AIAgent1",
"type": "ai_tool",
"index": 0
}
]
]
},
"Code in JavaScript": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"Wait1": {
"main": [
[
{
"node": "Get Sora",
"type": "main",
"index": 0
}
]
]
},
"Switch1": {
"main": [
[
{
"node": "Load Video1",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait1",
"type": "main",
"index": 0
}
],
[
{
"node": "Stop and Error1",
"type": "main",
"index": 0
}
]
]
},
"GPT1": {
"ai_languageModel": [
[
{
"node": "promptRobo AIAgent1",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Think1": {
"ai_tool": [
[
{
"node": "promptRobo AIAgent1",
"type": "ai_tool",
"index": 0
}
]
]
},
"Structure1": {
"ai_outputParser": [
[
{
"node": "promptRobo AIAgent1",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"promptRobo AIAgent1": {
"main": [
[
{
"node": "Split Out1",
"type": "main",
"index": 0
}
]
]
},
"Create Sora": {
"main": [
[
{
"node": "Wait1",
"type": "main",
"index": 0
}
]
]
},
"Get Sora": {
"main": [
[
{
"node": "Switch1",
"type": "main",
"index": 0
}
]
]
},
"Split Out1": {
"main": [
[
{
"node": "Edit Fields2",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "bd041e17-2a35-4a0e-8d6c-c5315919d204",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "JijAejqFUje7rHma",
"tags": []
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
httpHeaderAuthopenAiApi
Pro
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About this workflow
R38 Improved. Uses openAi, formTrigger, httpRequest, stopAndError. Event-driven trigger; 26 nodes.
Source: https://github.com/Entmarketingteam/n8n-synta-mcp-creations/blob/90a555d15a266a25d62472f1e6f71b63735e8d16/workflows/robonuggets/R38-improved.json — original creator credit. Request a take-down →
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