Workflow Templates

AI-Powered Flyer & Video Generator with Airtable, Klie.ai, and n8n Who is this for? This template is perfect for e-commerce entrepreneurs, marketers, agencies, and creative teams who want to turn simple product photos and short descriptions into professional flyers or product videos—automatically and at scale. If you want to generate polished marketing assets without relying on designers or editors, this is for you. What problem is this workflow solving? Creating product ads, flyers, or videos usually involves multiple tools and manual steps: Collecting and cleaning product photos Writing ad copy or descriptions Designing flyers or visuals for campaigns Producing animations or video ads Managing multiple revisions and approvals This workflow automates the entire pipeline. Upload a raw product image into Airtable, type a quick description, and receive back a flyer or video animation tailored to your brand and context—ready to use for ads, websites, or campaigns. What this workflow does Uses Airtable as the central interface where you upload raw product photos and enter descriptions Processes the content automatically via n8n Generates flyers and visuals using OpenAI Image 1 Produces custom product videos with Google’s VEO3 Runs through Klie.ai to unify the image + video generation process Sends the final creative assets back into Airtable for review and download Setup Download n8n files and connect your Airtable token to n8n Duplicate the Airtable base and make sure you’re on an Airtable Team plan Add your API key on the Airtable interface under API setup Create your agency inside the interface Start generating concept images and videos instantly How to customize this workflow to your needs Edit the prompts to match your brand voice and ad style Extend Airtable fields to include more creative parameters (colors, layout, target audience) Add approval steps via email, Slack, or Airtable statuses before finalizing Integrate with publishing platforms (social media, e-commerce CMS) for auto-posting Track generated assets inside Airtable for team collaboration 🎥 Demo Video: Demo Video

Stop manually digging through Meta Ads data and spending hours trying to connect the dots. This workflow turns n8n into an AI-powered media buyer that automatically analyzes your ad performance, categorizes your creatives, and delivers insights directly into a Google Sheet. ➡️ Watch the full 4-part setup and tutorial on YouTube: https://youtu.be/hxQshcD3e1Y About This 4-Part Automation Series As a media buyer, I built this system to automate the heavy lifting of analyzing ad data and brainstorming new creative ideas. This template is the first foundational part of that larger system. ✅ Part 1 (This Template): Pulling Ad Data & Getting Quick Insights Automatically pulls data into a Google Sheet and uses an LLM to categorize ad performance. ✅ Part 2: Finding the Source Files for the Best Ads Fetches the image or video files for top-performing ads. ✅ Part 3: Using AI to Understand Why an Ad Works Sends your best ads to Google Gemini for structured notes on hooks, transcripts, and visuals. ✅ Part 4: Getting the AI to Suggest New Creative Ideas Uses all the insights to generate fresh ad concepts, scripts, and creative briefs. What This Template (Part 1) Does Secure Token Management Automatically retrieves and refreshes your Facebook long-term access token. Fetch Ad Data Pulls the last 28 days of ad-level performance data from your Facebook Ads account. Process & Clean Parses raw data, standardizes key e-commerce metrics (like ROAS), and filters for sales-focused campaigns. Benchmark Calculation Aggregates all data to create an overall performance benchmark (e.g., average Cost Per Purchase). AI Analysis A “Senior Media Buyer” AI persona evaluates each ad against the benchmark and categorizes it as “HELL YES,” “YES,” or “MAYBE,” with justifications. Output to Google Sheets Updates your Google Sheet with both raw performance data and AI-generated insights. Who Is It For? E-commerce store owners Digital marketing agencies Facebook Ads media buyers How to Set It Up Credentials Connect your Google Gemini and Google Sheets accounts in the respective nodes. The template uses NocoDB for token management. Configure the “Getting Long-Term Token” and “Updating Token” nodes — or replace them with your preferred credential storage method. Update Your IDs In the “Getting Data For the Past 28 Days…” HTTP Request node, replace act_XXXXXX in the URL with your Facebook Ad Account ID. In both Google Sheets nodes (“Sending Raw Data…” and “Updating Ad Insights…”), update the Document ID with your target Google Sheet’s ID. Run the Workflow Click “Test workflow” to run your first AI-powered analysis! Tools Used n8n Facebook for Developers Google AI Studio (Gemini) NocoDB (or any credential database of your choice)

Automated workflow that generates custom AI image backgrounds from text prompts using Gemini's Nano Banana (native image generation), removes video backgrounds, and composites videos on AI-generated scenes. Create any background you can imagine without needing stock images. How it works • Describe background: Provide video URL and text prompt describing desired background scene (e.g., "modern office with city skyline at golden hour") • AI generates image: Gemini creates a background image from your prompt in ~10-20 seconds • Upload to Drive: Generated background is saved to Google Drive and made publicly accessible • Remove & composite: Video background is removed and composited on AI-generated scene with centered template • Save final video: Completed video is uploaded to Google Drive with shareable link Set up steps ⏱️ Total setup time: ~5 minutes • Get Gemini API Key (~1 min): Visit https://aistudio.google.com/apikey, create new API key, add to n8n Settings → Variables as GEMINI_KEY • Get VideoBGRemover API Key (~2 min): Visit https://videobgremover.com/n8n, sign up, add to n8n as VIDEOBGREMOVER_KEY • Connect Google Drive (~2 min): Click "Save Background Image to Drive" node, click "Connect", authorize n8n Use cases: Marketing videos with custom branded environments tailored to your message Product demos with unique AI-generated backgrounds that match your product aesthetic Social media content with creative scenes you can't find in stock libraries AI avatars placed in AI-generated worlds Presentations with custom backgrounds generated for specific topics A/B testing different background variations for the same video Pricing: Gemini: ~$0.03 per generated image VideoBGRemover: $0.50-$2.00 per minute of video Total: ~$0.53-$2.03 per video Triggers: Webhook (for automation) or Manual (for testing) Processing time: Typically 5-7 minutes total Prompt tips: Be descriptive and specific. Instead of "office," try: "A modern minimalist office with floor-to-ceiling windows overlooking a city skyline at golden hour. Warm sunlight, polished concrete floors, sleek wooden desks, green plants."

Move beyond generic AI-generated content and create articles that are high-quality, factually reliable, and aligned with your unique expertise. This template orchestrates a sophisticated "research-first" content creation process. Instead of simply asking an AI to write an article from scratch, it first uses an AI planner to break your topic down into logical sub-questions. It then queries a Lookio assistant—which you've connected to your own trusted knowledge base of uploaded documents—to build a comprehensive research brief. Only then is this fact-checked brief handed to a powerful AI writer to compose the final article, complete with source links. This is the ultimate workflow for scaling expert-level content creation. Who is this for? Content marketers & SEO specialists:** Scale the creation of authoritative, expert-level blog posts that are grounded in factual, source-based information. Technical writers & subject matter experts:** Transform your complex internal documentation into accessible public-facing articles, tutorials, and guides. Marketing agencies:** Quickly generate high-quality, well-researched drafts for clients by connecting the workflow to their provided brand and product materials. What problem does this solve? Reduces AI "hallucinations":** By grounding the entire writing process in your own trusted knowledge base, the AI generates content based on facts you provide, not on potentially incorrect information from its general training data. Ensures comprehensive topic coverage:** The initial AI-powered "topic breakdown" step acts like an expert outliner, ensuring the final article is well-structured and covers all key sub-topics. Automates source citation:** The workflow is designed to preserve and integrate source URLs from your knowledge base directly into the final article as hyperlinks, boosting credibility and saving you manual effort. Scales expert content creation:** It effectively mimics the workflow of a human expert (outline, research, consolidate, write) but in an automated, scalable, and incredibly fast way. How it works This workflow follows a sophisticated, multi-step process to ensure the highest quality output: Decomposition: You provide an article title and guidelines via the built-in form. An initial AI call then acts as a "planner," breaking down the main topic into an array of 5-8 logical sub-questions. Fact-based research (RAG): The workflow loops through each of these sub-questions and queries your Lookio assistant. This assistant, which you have pre-configured by uploading your own documents, finds the relevant information and source links for each point. Consolidation: All the retrieved question-and-answer pairs are compiled into a single, comprehensive research brief. Final article generation: This complete, fact-checked brief is handed to a final, powerful AI writer (e.g., GPT-4o). Its instructions are clear: write a high-quality article using only the provided information and integrate the source links as hyperlinks where appropriate. Building your own RAG pipeline VS using Lookio or alternative tools Building a RAG system natively within n8n offers deep customization, but it requires managing a toolchain for data processing, text chunking, and retrieval optimization. An alternative is to use a managed service like Lookio, which provides RAG functionality through an API. This approach abstracts the backend infrastructure for document ingestion and querying, trading the granular control of a native build for a reduction in development and maintenance tasks. Implementing the template 1. Set up your Lookio assistant (Prerequisite): Lookio is a platform for building intelligent assistants that leverage your organization's documents as a dedicated knowledge base. First, sign up at Lookio. You'll get 50 free credits to get started. Upload the documents you want to use as your knowledge base. Create a new assistant and then generate an API key. Copy your Assistant ID and your API Key for the next step. 2. Configure the workflow: Connect your AI provider (e.g., OpenAI) credentials to the two Language Model nodes. In the Query Lookio Assistant (HTTP Request) node, paste your Assistant ID in the body and add your Lookio API Key for authentication (we recommend using a Bearer Token credential). 3. Activate the workflow: Toggle the workflow to "Active" and use the built-in form to generate your first fact-checked article! Taking it further Automate publishing:* Connect the final *Article result* node to a *Webflow* or *WordPress** node to automatically create a draft post in your CMS. Generate content in bulk:* Replace the *Form Trigger* with an *Airtable* or *Google Sheet** trigger to automatically generate a whole batch of articles from your content calendar. Customize the writing style:* Tweak the system prompt in the final *New content - Generate the AI output** node to match your brand's specific tone of voice, add SEO keywords, or include specific calls-to-action.

Sync Shopify products to WooCommerce with AI enhancement This workflow automates the process of synchronizing your Shopify catalog to WooCommerce, enriching product data along the way. It uses AI to identify the best external sources (like Amazon or G2) for additional product details, scrapes that data using BrowserAct, synthesizes a high-converting description, and then pushes the enhanced product to your WooCommerce store. Target Audience Dropshippers, e-commerce store owners managing multiple storefronts, and digital marketers looking to automate product data enrichment. How it works Fetch Products: The workflow starts by retrieving all products from your Shopify store. Classify & Research: An AI Agent analyzes each product title to determine the best source for external data (e.g., physical goods -> Amazon, software -> G2). Scrape Data: BrowserAct executes a background task to scrape the target site for specifications, reviews, and images. Enhance Content: A second AI Agent (acting as a copywriter) processes the scraped data to write a compelling HTML description, generate a logical SKU, and format image lists. Sync to WooCommerce: The workflow checks if the product already exists in WooCommerce via SKU check. If not, it creates a new product with the enriched data. Error Handling: If product creation fails, a notification is sent to Slack. How to set up Configure Credentials: Connect your Shopify, WooCommerce, Slack, BrowserAct, and Google Gemini accounts in n8n. Prepare BrowserAct: Ensure the Shopify to WooCommerce Multi-Store Sync template is saved in your BrowserAct account. Configure Notifications: Open the Notify user and Send Error nodes to select your preferred Slack channel. Activate: Run the workflow manually to start the sync. Requirements BrowserAct* account with the *Shopify to WooCommerce Multi-Store Sync** template. Shopify** account (Access Token). WooCommerce** account (API Key/Secret). Google Gemini** account. Slack** account. How to customize the workflow Filter Products: Add logic after the "Get many products" node to only sync specific collections or tags. Change AI Persona: Modify the system prompt in the Create Product agent to change the tone of the product descriptions (e.g., more technical vs. more salesy). Add More Sources: Update the Analyze the Products agent to include other data sources like eBay or Best Buy. Need Help? How to Find Your BrowserAct API Key & Workflow ID How to Connect n8n to BrowserAct How to Use & Customize BrowserAct Templates Workflow Guidance and Showcase Video One-Click Shopify to WooCommerce Sync with n8n & AI 🛒

Quick overview This workflow collects a video topic via an n8n form, uses Groq to generate a short-form video idea and Veo 3 prompt, logs the content to Google Sheets, generates the video through Vertex AI (Veo 3), uploads it to Google Drive, and writes the Drive URL to the sheet. How it works Receives a submission from an n8n form with a topic, desired vibe, and target audience. Uses Groq (llama-3.3-70b-versatile) to generate a structured video concept (caption, idea, environment, status) and then expands it into a detailed cinematic prompt for Google Veo 3. Appends the generated idea, caption, environment, status, and prompt to a Google Sheets content log. Submits the prompt to Google Veo 3 via the Vertex AI REST API and polls the long-running operation until the generation reports it is done. If the Veo 3 response returns an API error, waits and retries the full generation up to five times before stopping. Converts the returned base64 video into an MP4 file, uploads it to Google Drive, and updates Google Sheets with the Drive webViewLink matched by the prompt. Setup Add Groq API credential and select it in the Groq Chat Model used by the idea and prompt generation steps. Create a Google Sheet with columns like Idea, Captions, Environment, Status, Prompt, and Video URL, then replace YOUR_GOOGLE_SHEET_ID and set the target sheet name. Add a Google Service Account credential with Vertex AI access, enable the Veo API in your GCP project, and replace YOUR_GCP_PROJECT_ID in both Vertex AI HTTP request URLs. Add a Google Drive OAuth2 credential and replace YOUR_DRIVE_FOLDER_ID with the folder where the generated MP4s should be uploaded. Publish the n8n form (or use the test URL) and share it with users who should be able to submit video requests.

Import products from Faire to Shopify using BrowserAct, Gemini and Telegram This workflow acts as an automated dropshipping assistant. It allows you to send product links from Faire.com to a Telegram bot, which then scrapes the product data, rewrites it for SEO using AI, and imports it directly into your Shopify store—handling images, pricing, and descriptions automatically. Target Audience Dropshippers, e-commerce store owners, and inventory managers sourcing products from Faire. How it works Receive Link: You send a Faire product URL to your Telegram bot. Analyze Input: An AI Agent classifies your message to determine if it's a product import request or just a chat. Scrape Product: BrowserAct executes a background task to scrape the product's title, description, price, and images from the provided URL. Human Verification (CAPTCHA): If the scraper hits a CAPTCHA, the workflow pauses and alerts you on Telegram. Once you solve it, the workflow resumes automatically. AI Enhancement: A second AI Agent (using Google Gemini) rewrites the product title and description to be SEO-friendly and sales-oriented, formatting it in HTML. Sync to Shopify: The workflow creates the product in Shopify, adds the correct variant pricing/SKU, and uploads all scraped images. How to set up Configure Credentials: Connect your Telegram, Shopify, BrowserAct, and Google Gemini accounts in n8n. Prepare BrowserAct: Ensure the Product Importer Bot for Shopify template is saved in your BrowserAct account. Configure Telegram: Ensure your bot is created via BotFather and the API token is added to the Telegram credentials. Activate: Turn on the workflow. Test: Send a Faire product link to your bot to start the import process. Requirements BrowserAct* account with the *Product Importer Bot for Shopify** template. Shopify** account (Access Token with write_products permission). Telegram** account (Bot Token). Google Gemini** account. How to customize the workflow Change Pricing Logic: Add a Set node before the "Add Price" node to increase the scraped price by a percentage (markup) before importing. Translate Content: Modify the system prompt in the Analyzing Products agent to translate the description into another language during the rewrite. Add More Fields: Update the Analyzing Products agent to extract additional data like "Material" or "Dimensions" and map them to Shopify Metafields. Need Help? How to Find Your BrowserAct API Key & Workflow ID How to Connect n8n to BrowserAct How to Use & Customize BrowserAct Templates Workflow Guidance and Showcase Video How to Build a Shopify Product Importer with n8n & BrowserAct (No-Code)

How it works Analyzes a reference product image using AI vision to extract brand elements, colors, and design Generates UGC-style prompts for image and video creation based on your specifications Calls external APIs to generate product images and videos at scale Polls for completion and retrieves the generated media files Uploads all videos to Box and Google Drive, then logs results to Google Sheets Set up steps Connect OpenAI credentials for image analysis Configure your image generation API credentials Configure your video generation API credentials Connect Google Drive and Box for file uploads Connect Google Sheets for tracking and logging Keep detailed descriptions of your UGC style preferences in the sticky notes inside your workflow

Who’s it for? Content Creators E-commerce Stores Marketing Team Description: Generate unique UGC images for your products. Simply upload a product image into a Google Drive folder, and the workflow will instantly generate 50 unique, high-quality AI UGC images using Nano Banana via Fal.ai. All results are automatically saved back into the same folder, ready to use across social media, e-commerce stores, and marketing campaigns. How it works? 📺 YouTube Video Tutorial: 1 - Trigger: Upload a new Product Image (with white background) to a Folder in your Google Drive 2 - Generate 50 different Image Prompts for your Product 3 - Loop over each Prompt Generated 4 - Generate UGC Content thanks to Fal.ai (Nano Banana) 5 - Upload UGC Content on the initial Google Drive Folder Cost: 0.039$ / image== How to set up? 1. Accounts & APIs In the Edit Field "Setup" Node replace all ==[YOUR_API_TOKEN]== with your API Token : Fal.ai (gemini-25-flash-image/edit): https://fal.ai/models/fal-ai/gemini-25-flash-image/edit/api In Credentials on your n8n Dashboard, connect the following accounts using ==Client ID / Secret==: Google Drive: https://docs.n8n.io/integrations/builtin/credentials/google/ 2. Requirements Base Image of your Product preferably have a White Background Your Google Drive Folder and every Files it contains should be publicly available 3. Customizations Change the amount of total UGC Generated: In Generate Prompts → Message → "Your task is to generate 50" Modify the instructions to generate the UGC Prompts: In Generate Prompts → Message Change the amount of Base Image: In Generate Image → Body Parameters → JSON → image_urls Change the amount of UGC Generated per prompt: In Generate Image → Body Parameters → JSON → num_images Modify the Folder where UGC Generated are stored: In Upload File → Parent Folder

Categories Marketing Intelligence, Ad Operations, Competitive Research, Creative Analysis Build a Facebook Ad Intelligence Pipeline with Apify, AI, and Google Sheets This workflow creates an end-to-end Facebook Ad Intelligence pipeline that automatically collects live ads from the Facebook Ad Library, analyzes their creative and messaging using AI, and stores structured insights in Google Sheets for reuse. The system continuously pulls ads from specified Facebook Ad Library URLs, filters for high-signal advertisers, classifies ads by format (video, image, or text), and applies AI analysis to extract strategy, positioning, and reusable creative angles. The result is a reliable, no-manual-work system that turns competitor ads into structured, reusable intelligence instead of screenshots and guesswork. Benefits Evidence-Based Creative Decisions Learn from ads that are already live and funded, not assumptions. Faster Creative Iteration Reuse proven angles, hooks, and formats without starting from zero. Centralized Ad Intelligence All insights are stored in a searchable Google Sheet. Format-Aware Analysis Images, videos, and text ads are analyzed using the correct method. Low Noise, High Signal Filters remove weak advertisers and surface serious spenders. How It Works Ad Data Collection (Apify) Scrapes Facebook Ad Library URLs automatically Retrieves raw ad snapshots including: Copy and headlines Media URLs Page metadata Engagement and page signals Signal Filtering Filters ads by page popularity, for example pages with more than 5,000 likes Ensures only proven advertisers move forward Creative Type Detection A switch node classifies ads as: Video Image Text only Each format is routed to its own processing path AI Creative Analysis Image ads** Converted to binary Visually analyzed Summarized and reverse-engineered Video ads** Downloaded and analyzed frame and content wise Described strategically Text ads** Summarized and rewritten directly Outputs include: Deep strategic summaries Repurposed ad copy Structured Intelligence Storage (Google Sheets) All insights are appended automatically Ads are deduplicated by ad archive ID Each row becomes a reusable asset: Summary Rewritten copy Image or video prompts Page and source data Required Setup Apify Active Apify account Access to the Facebook Ad Library scraping actor OpenAI API key with text and image analysis access Google Gemini API access for video analysis Google Sheets OAuth access Edit permissions on the target spreadsheet Dropbox (optional) OAuth access for video storage and reuse Business Use Cases Performance Marketers Identify winning creative patterns faster Media Buyers Reduce testing waste and creative fatigue Agencies Deliver competitive intelligence as a service Founders Validate messaging before launching campaigns Growth Teams Build creative systems instead of one-off ads Difficulty Level Intermediate Estimated Build Time 60–90 minutes Monthly Operating Cost Apify: Usage-based OpenAI: Usage-based Google Sheets: Free Dropbox: Free or paid plan n8n: Self-hosted or cloud Typical range: $20–60/month depending on volume Why This Workflow Works Live ads represent real budget decisions Filtering enforces signal quality Format-specific analysis improves insight accuracy Structured storage enables reuse at scale Automation replaces manual ad spying Possible Extensions Auto-tag ads by funnel stage Add spend or duration heuristics Track creative trends over time Generate landing page hypotheses Trigger creative briefs from winning ads

📌 How to Set Up the AI UGC Video Automation System This system uses Telegram + N8N (no-code automation) + AI models to generate user-generated content (UGC) videos automatically. 🔹 Overview Input: Send a photo of the product + character via Telegram bot. Process: N8N workflow handles: Image analysis Prompt generation Image creation Video clip generation Combining clips into a final UGC ad Output: Video sent back to Telegram (or other destination like Google Drive/Dropbox). 🔹 System Workflow Input Section Telegram Setup: Create a Telegram bot and get its Bot ID. Connect the bot to N8N Telegram Trigger node. Bot listens for messages (photos + instructions). Send Input Upload one compressed image with : Product Character (optional) Example: “Create a UGC video with Gandalf promoting The Hobbit book. 20 seconds long.” Image Handling . N8N retrieves the image from Telegram (via file path). . OpenAI agent analyzes the image: . Extracts product details (brand, color, description). . Extracts character details (name, outfit, style). Confirm Input: . System replies on Telegram: “Got it. I’m now creating your video.” Step 1: Create Image AI Agent (Image Prompt) Generates a natural, UGC-style prompt (realistic iPhone photo look). Uses OpenAI GPT to structure prompt and aspect ratio (2:3 or 3:2). Image Generation Sends prompt + aspect ratio to Key.AI → 4.0 Image Model. Waits until image is generated. Example: Gandalf holding The Hobbit book. Step 2: Create Video Clips AI Agent (Video Prompt) Creates video script and scenes (dialogue + setting). Calculates how many clips needed (e.g. 20s request → 3 x 8s clips). Ensures UGC style (casual, amateur look). Clip Generation Sends prompts to Key.AI V3 model (Fast or Quality). Input: Prompt + image + aspect ratio. Output: Multiple short clips (8s each). Wait for Processing Clips take a few minutes to generate. Retrieve video URLs from Key.AI. Step 3: Combine Video Aggregate Clips 2.Collect all video URLs (from multiple clips). Merge with FFmpeg Send videos to File.AI → FFmpeg Merge Service. Stitches clips into one continuous video. Final Output Final merged video returned as a download URL. N8N sends the video back to your Telegram chat (or connected storage). 🔹 Customization Options Models: V3 Fast (~$0.40/clip, cheaper, good enough). V3 Quality (~$2/clip, slightly higher quality). Video Length: AI automatically adjusts number of clips. Outputs: Telegram (default) Can be extended to Google Drive, Dropbox, etc. 🔹 Cost Image generation: a few cents. Video clips: ~$0.40 each with V3 Fast. Clip merging: < $0.01. Much cheaper than manual UGC production.

This template transforms uploaded brand assets into AI-generated influencer-style posts — complete with captions, images, and videos — using n8n, OpenAI, and your preferred image/video generation APIs. 🧠 Who it’s for Marketers, creators, or brand teams who want to speed up content ideation and visual generation. Perfect for social-media teams looking to turn product photos and brand visuals into ready-to-review creative posts. ⚙️ How it works Upload your brand assets — A form trigger collects up to three files: product, background, and prop. AI analysis & content creation — An OpenAI LLM analyzes your brand tone and generates post titles, captions, and visual prompts. Media generation — Connected image/video generation workflows create corresponding visuals. Result storage — All captions, image URLs, and video URLs are automatically written to a Google Sheet for review or publishing. 🧩 How to set it up Replace all placeholders in nodes: <<YOUR_SHEET_ID>> <<FILE_UPLOAD_BASE>> <<YOUR_API_KEY>> <<YOUR_N8N_DOMAIN>>/form/<<FORM_ID>> Add your own credentials in: Google Sheets HTTP Request AI/LLM nodes Execute the workflow or trigger via form. Check your connected Google Sheet for generated posts and media links. 🛠️ Requirements | Tool | Purpose | |------|----------| | OpenAI / compatible LLM key | Caption & idea generation | | Image/Video generation API | Creating visuals | | Google Sheets credentials | Storing results | | (Optional) n8n Cloud / self-hosted | To run the workflow | 🧠 Notes The workflow uses modular sub-workflows for image and video creation; you can connect your own generation nodes. All credentials and private URLs have been removed. Works seamlessly with both n8n Cloud and self-hosted setups. Output is meant for creative inspiration — review before posting publicly. 🧩 Why it’s useful Speeds up campaign ideation and content creation. Provides structured, reusable results in Google Sheets. Fully visual, modular, and customizable for any brand or industry. 🧠 Example Use Cases Influencer campaign planning Product launch creatives E-commerce catalog posts Fashion, lifestyle, or tech brand content ✅ Security & best practices No hardcoded keys or credentials included. All private URLs replaced with placeholders. Static data removed from the public JSON. Follows n8n’s template structure, node naming, and sticky-note annotation guidelines. 📦 Template info Name: AI-Powered Influencer Post Generator with Google Sheets and Image/Video APIs Category: AI / Marketing Automation / Content Generation Author: Palak Rathor Version: 1.0 (Public Release — October 2025)