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": "Veo 3.1 \u2014 Finance Tip (Video-Only, GPT-4.1 \u2192 Veo Preview)",
"nodes": [
{
"parameters": {},
"id": "ManualTrigger",
"name": "Manual Trigger",
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
-560,
0
]
},
{
"parameters": {
"functionCode": "const runId = Date.now().toString(36) + '-' + Math.random().toString(36).slice(2,8);\nreturn [{ json: { runId } }];"
},
"id": "MakeRunId",
"name": "Make runId",
"type": "n8n-nodes-base.function",
"typeVersion": 2,
"position": [
-380,
0
]
},
{
"parameters": {
"keepOnlySet": true,
"values": {
"string": [
{
"name": "topic",
"value": "One quick way to start a $1K emergency fund"
},
{
"name": "durationSeconds",
"value": "20"
},
{
"name": "aspectRatio",
"value": "9:16"
},
{
"name": "negativePrompt",
"value": "nudity, explicit, low quality, glitch, distorted, disfigured"
}
]
}
},
"id": "Config",
"name": "Config",
"type": "n8n-nodes-base.set",
"typeVersion": 2,
"position": [
-200,
0
]
},
{
"parameters": {
"model": "gpt-4.1",
"messages": [
{
"type": "system",
"text": "You write concise 20-second finance scripts (\u224845\u201360 words) for vertical videos. Tone: soft, confident, warm, non-preachy, actionable. No emojis. No tickers, no guarantees, no solicitation. Return only the spoken script\u2014no labels."
},
{
"type": "user",
"text": "Topic: {{$json[\"/previousNode:Config\"].topic}}\nAudience: beginners under money stress\nConstraint: 45\u201360 words max\nPersona: calm, intimate, reassuring feminine voice\nEnd with 1 gentle CTA to follow for daily tips"
}
],
"responseType": "text"
},
"id": "OpenAI_Script",
"name": "Script (OpenAI GPT-4.1)",
"type": "n8n-nodes-chat.openAiAssistant",
"typeVersion": 1,
"position": [
40,
0
]
},
{
"parameters": {
"functionCode": "const text = items[0].json?.text || items[0].json?.data?.[0]?.content || '';\nconst cfg = $json[\"/previousNode:Config\"];\nconst runId = $json[\"/previousNode:Make runId\"].runId;\nconst prompt = `Soft, photorealistic, vertical ${cfg.aspectRatio} video (~${cfg.durationSeconds}s) of an attractive adult woman delivering a calm, intimate personal-finance tip in a soft whisper. Professional, tasteful; avoid sexualization. Subtle head/eye movement, natural micro-expressions. Clean neutral background, shallow depth of field, soft key light.\n\nVOICEOVER (use exactly this text, paced to ${cfg.durationSeconds}s):\\n${text}\n\nCompliance: educational only, no guarantees, no securities recommendations.\nRunId:${runId}`;\nreturn [{ json: { script: text, prompt, aspectRatio: cfg.aspectRatio, durationSeconds: Number(cfg.durationSeconds), negativePrompt: cfg.negativePrompt } }];"
},
"id": "BuildPrompt",
"name": "Build Veo Prompt",
"type": "n8n-nodes-base.function",
"typeVersion": 2,
"position": [
260,
0
]
},
{
"parameters": {
"url": "https://generativelanguage.googleapis.com/v1beta/models/veo-3.1-generate-preview:predictLongRunning",
"method": "POST",
"sendBody": true,
"jsonParameters": true,
"responseFormat": "json",
"authentication": "none",
"headerParametersJson": "={\"x-goog-api-key\": $env.GEMINI_API_KEY, \"Content-Type\": \"application/json\"}",
"bodyParametersJson": "={\n \"instances\": [\n {\n \"prompt\": $json.prompt,\n \"aspectRatio\": $json.aspectRatio,\n \"durationSeconds\": $json.durationSeconds\n }\n ],\n \"parameters\": {\n \"preset\": \"fast\",\n \"negativePrompt\": $json.negativePrompt\n }\n}"
},
"id": "VeoCreate",
"name": "Veo 3.1 \u2014 Create Job (Preview)",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4,
"position": [
520,
0
]
},
{
"parameters": {
"keepOnlySet": true,
"values": {
"string": [
{
"name": "operationName",
"value": "={{$json[\"name\"]}}"
}
]
}
},
"id": "StoreOp",
"name": "Store Operation",
"type": "n8n-nodes-base.set",
"typeVersion": 2,
"position": [
720,
0
]
},
{
"parameters": {
"amount": 8,
"unit": "seconds"
},
"id": "Wait8s",
"name": "Wait 8s",
"type": "n8n-nodes-base.wait",
"typeVersion": 1,
"position": [
720,
160
]
},
{
"parameters": {
"url": "={{\"https://generativelanguage.googleapis.com/v1beta/\" + $json[\"operationName\"]}}",
"method": "GET",
"responseFormat": "json",
"authentication": "none",
"headerParametersJson": "={\"x-goog-api-key\": $env.GEMINI_API_KEY}"
},
"id": "PollOp",
"name": "Poll Operation",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4,
"position": [
920,
60
]
},
{
"parameters": {
"conditions": {
"collection": [
{
"type": "boolean",
"value1": "={{$json.done === true}}"
}
]
}
},
"id": "IfDone",
"name": "Done?",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
1120,
60
]
},
{
"parameters": {
"amount": 5,
"unit": "seconds"
},
"id": "WaitLoop",
"name": "Wait (loop)",
"type": "n8n-nodes-base.wait",
"typeVersion": 1,
"position": [
1120,
-80
]
},
{
"parameters": {
"functionCode": "return items;"
},
"id": "LoopBack",
"name": "Loop",
"type": "n8n-nodes-base.function",
"typeVersion": 2,
"position": [
1300,
-80
]
},
{
"parameters": {
"functionCode": "const op = items[0].json;\nconst url = op?.response?.generateVideoResponse?.generatedSamples?.[0]?.video?.uri;\nif (!url) throw new Error('Operation complete but no video URL found.');\nreturn [{ json: { videoUrl: url } }];"
},
"id": "ExtractUrl",
"name": "Extract Video URL",
"type": "n8n-nodes-base.function",
"typeVersion": 2,
"position": [
1320,
60
]
},
{
"parameters": {
"message": "\u2705 Veo render complete: {{$json[\"/previousNode:Extract Video URL\"].videoUrl}}",
"raiseMessage": true
},
"id": "Success",
"name": "Success",
"type": "n8n-nodes-base.noOp",
"typeVersion": 1,
"position": [
1520,
60
]
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Make runId",
"type": "main",
"index": 0
}
]
]
},
"Make runId": {
"main": [
[
{
"node": "Config",
"type": "main",
"index": 0
}
]
]
},
"Config": {
"main": [
[
{
"node": "Script (OpenAI GPT-4.1)",
"type": "main",
"index": 0
}
]
]
},
"Script (OpenAI GPT-4.1)": {
"main": [
[
{
"node": "Build Veo Prompt",
"type": "main",
"index": 0
}
]
]
},
"Build Veo Prompt": {
"main": [
[
{
"node": "Veo 3.1 \u2014 Create Job (Preview)",
"type": "main",
"index": 0
}
]
]
},
"Veo 3.1 \u2014 Create Job (Preview)": {
"main": [
[
{
"node": "Store Operation",
"type": "main",
"index": 0
}
]
]
},
"Store Operation": {
"main": [
[
{
"node": "Poll Operation",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait 8s",
"type": "main",
"index": 0
}
]
]
},
"Wait 8s": {
"main": [
[
{
"node": "Poll Operation",
"type": "main",
"index": 0
}
]
]
},
"Poll Operation": {
"main": [
[
{
"node": "Done?",
"type": "main",
"index": 0
}
]
]
},
"Done?": {
"main": [
[
{
"node": "Extract Video URL",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait (loop)",
"type": "main",
"index": 0
}
]
]
},
"Wait (loop)": {
"main": [
[
{
"node": "Loop",
"type": "main",
"index": 0
}
]
]
},
"Loop": {
"main": [
[
{
"node": "Poll Operation",
"type": "main",
"index": 0
}
]
]
},
"Extract Video URL": {
"main": [
[
{
"node": "Success",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"meta": {
"version": "1.114.x",
"notes": "Phase 1: video-only. Uses n8n built-in OpenAI credential (select in node UI). AI Studio key in env as GEMINI_API_KEY."
}
}
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Veo 3.1 — Finance Tip (Video-Only, GPT-4.1 → Veo Preview). Uses n8n-nodes-chat, httpRequest. Event-driven trigger; 14 nodes.
Source: https://gist.github.com/allanzilber-boop/43b7d99ed8116f0d4c0ef27c24d702a7 — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
This workflow exposes an MCP (Model Context Protocol) server endpoint that lets an MCP client manage workflows and executions in an n8n instance via the n8n Public API, including searching, reading, c
This workflow automates SEO analysis by comparing your website with a competitor’s site. It reads input URLs from Google Sheets, scrapes structured SEO data from both sites, and expands into important
Spot Workplace Discrimination Patterns with AI. Uses manualTrigger, lmChatOpenAi, httpRequest, html. Event-driven trigger; 38 nodes.
Spot Workplace Discrimination Patterns with AI. Uses manualTrigger, lmChatOpenAi, httpRequest, html. Event-driven trigger; 38 nodes.
This template can be used to find the content gaps in your competitors' discourse: identifying the topics they are not yet connecting and giving you an opportunity to fill in this gap with your conten