Workflow Templates

This template sets up a scheduled automation that scrapes the latest news from The Hindu website, uses a Google Gemini AI Agent to filter and analyze the content for relevance to the Competitive Exams like UPSC Civil Services Examination (CSE) syllabus, and compiles a structured daily digest directly into a Google Sheet. It saves hours of manual reading and note-taking by providing concise summaries, subject categorization, and explicit UPSC importance notes. Who’s it for This workflow is essential for: UPSC/CSE Aspirants who require a curated, focused, and systematic daily current affairs digest. Coaching Institutes aiming to instantly generate structured, high-quality study material for their students. Educators and Content Creators focused on Governance, Economy, International Relations, and Science & Technology. How it works / What it does This workflow runs automatically every morning (scheduled for 7 AM by default) to generate a ready-to-study current affairs document. Scraping: The Schedule Trigger fires an HTTP Request to fetch the latest news links from The Hindu's front page. Data Curation: The HTML and Code in JavaScript nodes work together to extract and pair every article URL with its title. Content Retrieval: For each identified link, a second HTTP Request node fetches the entire article body. AI Analysis and Filtering: The AI Agent uses a detailed prompt and the Google Gemini Chat Model to perform two critical tasks: Filter: It filters out all irrelevant articles (e.g., sports results, local crime) to keep only the 5-6 most important UPSC-relevant pieces (Polity, Economy, IR, etc.). Analyze: For the selected articles, it generates a Brief Summary, identifies the Main Subject, and clearly articulates Why it is Important for the UPSC Exam. Storage: The AI Agent calls the integrated Google Sheets Tool to automatically append the structured, analyzed data into your designated Google Sheet, creating your daily ready-made notes. Requirements To deploy this workflow, you need: n8n Account: (Cloud or self-hosted). Google Gemini API Key: For connecting the Google Gemini Chat Model and powering the AI Agent. Google Sheets Credentials: For reading/writing the final compiled digest. Target Google Sheet: A spreadsheet with the following columns: Date, URL, Subject, Brief Summary, and What is Important. How to set up Credentials Setup:** Connect your Google Gemini and Google Sheets accounts via the n8n Credentials Manager. Google Sheet Linking:* In the *Append row in sheet and Append row in sheet in Google Sheets1 nodes, replace the **placeholder IDs and GIDs with the actual ID and sheet name of your dedicated UPSC notes spreadsheet. Scheduling:* Adjust the time in the *Schedule Trigger: Daily at 7 AM node** if you want the daily analysis to run at a different hour. AI Customization (Optional):* You can refine the System Message in the *AI Agent: Filter & Analyze UPSC News node** to focus the analysis on specific exam phases (e.g., Prelims only) or adjust the priority of subjects.

🤖 Automated AI News Video Creation and Social Media Publishing Workflow ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Overview: This workflow fully automates the creation and social media distribution of AI-generated news videos. It fetches news, crafts captions, generates avatar videos via HeyGen, stores them, and publishes them across Instagram, Facebook, and YouTube via Postiz. 🔄 WORKFLOW PROCESS: News Fetching: Reads the latest news from an RSS feed. AI Captioning: Generates concise, engaging captions using an AI agent (GPT-4o-mini). Video Generation: Creates an AI avatar video using HeyGen with the generated caption. Video Storage: Downloads the video and uploads it to Google Drive for archival. Data Logging: Records all news and video metadata into Google Sheets. Postiz Upload: Uploads the video to Postiz's internal storage for publishing. Social Publishing: Fetches Postiz integrations and routes the video to Instagram, Facebook, and YouTube after platform-specific content cleaning. ⚙️ KEY TECHNOLOGIES: RSS Feeds:** News source. LangChain (n8n nodes):** AI Agent and Chat OpenAI for caption generation. HeyGen API:** AI avatar video creation. Google Drive:** Video file storage. Google Sheets:** Data logging and tracking. Postiz API:** Unified social media publishing platform. ⚠️CRITICAL CONFIGURATIONS: API Keys:** Ensure HeyGen and Postiz API keys are correctly set in credentials and the 'Setup Heygen Parameters' node. HeyGen IDs:** Verify avatar_id and voice_id in 'Setup Heygen Parameters'. Postiz URL:** Confirm https://postiz.yourdomain.com is your correct Postiz instance URL across all HTTP Request nodes. Credentials:** All Google, OpenAI, and Postiz credentials must be properly linked. 📈BENEFITS: Automated content creation and distribution, saving significant time. Consistent branding and messaging across multiple platforms. Centralized logging for tracking and performance analysis. Scalable solution for high-volume content demands.

This n8n template drafts customer-ready email replies using Google Gemini, enriched with HubSpot context (contact, deals, companies, tickets). Each draft is routed to Slack for one-click approval before it’s sent from Gmail—so you move fast without losing control. Ideal for support and sales teams that want speedy, personalized responses while keeping humans in the loop. How it works Gmail Trigger** watches for new inbound emails. Sender filter** excludes internal domains (e.g., n8n.io) to avoid auto-replying to teammates. HubSpot contact lookup* finds the sender and fetches associated *deals/companies/tickets** via association + batch read. CRM context is normalized** into clean, LLM-friendly fields (no IDs or sensitive noise). Gemini (Google AI Studio)** generates a concise, friendly reply using: Sender name, subject, and message snippet Safe, relevant HubSpot context (e.g., top 1–2 deals or an open ticket) Style constraints (≤ \~150 words, single CTA, optional clarifying question) Slack approval* posts the draft to a channel; if *approved, n8n **replies via Gmail in the original thread. How to use Gmail: Connect the same account for the trigger and reply nodes. HubSpot: Connect OAuth on the search + HTTP request nodes. Gemini: Add your Google AI Studio API key to the Google Gemini Chat Model node. Slack: Connect and select the channel for draft approvals. (Optional) Filter: Adjust the Allowed Sender filter before going live. (Optional) Prompt: Edit “Draft Reply (AI Agent)” tone/length or how much CRM detail to include. Activate the workflow. New emails will produce Slack-approved replies automatically. Requirements Gmail** (trigger + send) HubSpot** (OAuth2) for contact + associations Slack** for approval step Google Gemini** (Google AI Studio API key) Notes & customization Safety rails:** The prompt avoids exposing IDs/raw JSON and caps CRM details to what’s useful. Auto-send mode:** Skip Slack if you want fully automated replies for specific senders/labels. Richer context:** Extend the batch read to pull more properties (e.g., next step, renewal date). Triage:** Branch on subject/labels to route billing vs. technical requests to different prompts. QA queue:* If the model asks a clarifying question, keep it to *one**—the node enforces that.

Schedule and optimize social media posts to Twitter and LinkedIn using AI This workflow automates the entire lifecycle of social media management—from fetching draft content to AI-driven optimization and multi-platform publishing. Who’s it for Social media managers, marketing teams, and content creators who use Google Sheets to plan their content but want to leverage AI for better engagement and automate the repetitive task of cross-platform posting. How it works The workflow is triggered either hourly or manually via a webhook. It fetches scheduled content from a designated Google Sheet and identifies posts ready for publication. An AI Agent (OpenAI) then analyzes the raw content to generate two optimized versions: a punchy, character-limited post for Twitter and a more professional, detailed version for LinkedIn. After generating relevant hashtags and engagement tips, the workflow publishes the posts simultaneously. Finally, it logs the live URLs back to your spreadsheet and sends a performance summary to a Slack channel for easy tracking. How to set up Google Sheet: Create a sheet with columns for status, content, platforms, scheduled_time, hashtags, and tone. Credentials: Connect your Google Sheets, OpenAI, Twitter (X), LinkedIn, and Slack accounts. Node Configuration: Select your specific spreadsheet and worksheet in both the "Fetch Content" and "Update Content" nodes. Slack: Specify the channel name or ID in the Slack node to receive notifications. Activation: Test with the Manual Webhook, then toggle the workflow to "Active." Requirements Google Sheets OAuth2** OpenAI API Key** (using GPT-4o-mini or higher) Twitter (X) OAuth2** LinkedIn OAuth2** Slack Bot Token** How to customize the workflow AI Tone**: Modify the "System Message" in the AI Content Optimizer node to match your brand's unique voice. Additional Platforms**: Extend the branching logic after the AI Parse node to include platforms like Discord, Facebook, or Mastodon. Advanced Scheduling**: Adjust the Filter node's JavaScript code if you use a different date format or status labels in your spreadsheet.

Quick overview This workflow scans HTML files in a Google Drive folder, extracts and stores page text in Postgres, generates local vector embeddings with Ollama, and uses PGVector similarity searches to produce CSV reports that flag semantically duplicate website pages. How it works Starts manually and clears the existing PGVector embeddings table and the scraped page text table in Postgres. Lists files in a specified Google Drive folder, filters to the target documents, and processes them in batches. Downloads each HTML file from Google Drive, extracts the main body text, cleans it, and upserts the results into a Postgres table for scraped pages. Reads the scraped page text back from Postgres in batches, splits it into overlapping chunks, and attaches page metadata (sheet_id, file_name, file_url) to each chunk. Generates embeddings locally with Ollama and inserts the chunk vectors and metadata into Postgres (PGVector), deduplicating already-processed pages. Builds an HNSW index in Postgres, computes chunk-to-chunk similarity matches and a pairwise page report, and exports the results as a CSV file. Computes page-level centroid embeddings, finds highly similar page pairs, and exports a page-level duplicate report as a CSV file. Setup Add Google Drive OAuth2 credentials and set the Google Drive folder URL/ID used to scan for your HTML files. Add Postgres credentials for a database with the pgvector extension enabled and permissions to create/alter tables and indexes (including HNSW indexes). Add an Ollama credential and ensure the embedding model mxbai-embed-large:latest is available on your Ollama instance. Confirm your source files are HTML documents and that the workflow’s text extraction and similarity thresholds match your content and desired duplicate sensitivity. Requirements Working instance of n8n, either self-hosted or on the cloud. Remember, this workflow can be computationally expensive. Google Drive API (with OAuth setup in n8n credentials section) Ollama (for open source models) or any Embedding model API PostgreSQL with PGVector or any other vector database PgAdmin (for PostgreSQL) or your interface to access database tables via SQL for troubleshooting (optional). Additional info Limitations and Enhancements: Physical system memory mxbai-embed-large Running through Ollama is free and private, but the embedding generation speed depends entirely on your hardware. The more system memory you have, the more data you can process in batches in the loop node. Similarity threshold and boilerplate content The cosine distance used in this workflow is 0.15 for chunk-level matching. And 0.05 (similarity above 95%) of the threshold is used for page-level centroid matching. This is only the starting point. Once you have the data, and especially if your data has more noise, you might need to tweak these thresholds for better matching. This workflow needs HTML files to extract text This workflow doesn't crawl a website or fetch pages by entering a URL. You need to download HTML files (rendered or source) for consumption. Use parallel processing and Cloud APIs Two sub-processes take the most time: Downloading HTML files from Google Drive Creating vector embeddings If you can use parallel processing in n8n and execute these sub-processes in parallel, the process will be done much faster. Additionally, if you can use cloud APIs for embedding, it may save some you some processing time as well. Use efficient SQL queries Since I am from a non-tech background and not a coder, I used a mix of Gemini, Perplexity and Claude to create SQL codes for this workflow. If you're better at it, you can run computationally efficient queries that would help you achieve better results with less computation expense and time.

This automation workflow is designed for e-commerce businesses, digital marketers, and entrepreneurs who need to create high-quality promotional content for their products quickly and efficiently. From a single product image and description, the system automatically generates 4 promotional carousel-style images, perfect for social media, advertising campaigns, or web catalogs. Note: This workflow uses Gemini 2.5 Flash API for image generation, imgbb for image storage, and upload-post.com for automatic Instagram, Tiktok, Facebook and Youtube publishing* Who Is This For? E-commerce Owners:** Transform basic product photos into professional promotional content featuring real people using products in authentic situations. Digital Marketers & Agencies:** Generate multiple advertising content variations for Facebook Ads, Instagram Stories, and digital marketing campaigns. Small Businesses & Entrepreneurs:** Create professional promotional material without expensive photo shoots or graphic designers. Social Media Managers:** Produce engaging and authentic content that drives engagement and conversions across all social platforms. What Problem Does This Workflow Solve? Creating quality promotional content requires time, resources, and design skills. This workflow addresses these challenges by: Automatic Carousel Generation:** Converts a single product photo into 4 promotional images featuring people using the product naturally. Authentic & Engaging Content:** Generates images showing real product usage, increasing credibility and conversions. Integrated Promotional Text:** Automatically includes visible offers, benefits, and call-to-actions in the images. Social Media Optimization:** Produces vertical 9:16 format images, perfect for Instagram, TikTok, and Facebook Stories. Automatic Publishing:** Optionally publishes the complete carousel directly to Instagram with AI-generated optimized descriptions. How It Works Product Upload: Upload a product image and provide detailed description through the web form. Smart Analysis: The AI agent analyzes the product and creates a storyboard of 4 different promotional images. Image Generation: Gemini 2.5 Flash generates 4 variations showing people using the product in authentic contexts. Automatic Processing: Images are automatically processed, optimized, and stored in imgbb. Promotional Description: GPT-4 generates an attractive, social media-optimized description based on the created images. Optional Publishing: The system can automatically publish the complete carousel to Instagram. Setup fal.ai Credentials: Sign up at fal.ai and add your API token to the Gemini 2.5 Flash nodes. imgbb API: Create an account at imgbb.com Get your API key and configure it in the "Set APIs Vars" node Upload-Post (Optional): For automatic Instagram publishing: Register your account at upload-post.com Connect your Instagram business account Configure credentials in the "Upload Post" node OpenAI API: Configure your OpenAI API key for promotional description generation. Requirements Accounts:** n8n, fal.ai, imgbb.com, OpenAI, upload-post.com (optional), Instagram business (optional). API Keys:** fal.ai token, imgbb API key, OpenAI API key, upload-post.com credentials. Image Format:** Any standard image format (JPG, PNG, WebP) of the product to promote. Features Advanced Generative AI:** Uses Gemini 2.5 Flash to create realistic images of people using products Smart Storyboard:** Automatically creates 4 different concepts to maximize engagement Integrated Promotional Text:** Includes offers, benefits, and CTAs directly in the images Optimized Format:** Generates vertical 9:16 images perfect for social media Parallel Processing:** Generates all 4 images simultaneously for maximum efficiency Automatic Publishing:** Option to publish directly to Instagram with optimized descriptions Use this template to transform basic product photos into complete promotional campaigns, saving time and resources while generating high-quality content that converts visitors into customers.

Monitor Facebook Pages and Analyze Content Safety via Telegram This n8n template automates the collection, storage, and safety analysis of Facebook posts while simultaneously providing an interactive AI assistant on Telegram. If you manage communities or brand pages and need to stay instantly informed about toxic content while having a smart assistant to answer quick operational queries, this workflow is perfect for you. How it works Interactive Chatbot (Trigger):* The Telegram Trigger listens for direct messages. An *AI Agent* (powered by Google Gemini) processes the input using *MongoDB* for conversation memory and custom tools (like *SerpAPI**) for deep research. Data Scraping (Schedule):* A Schedule Trigger runs every 3 hours to fetch the latest posts from your specified Facebook page using the *Apify Facebook Scraper**. Data Normalization & Storage:* Extracted posts are normalized and upserted into an *n8n Data Table**. This prevents duplicate processing of the same posts in future runs. Safety Analysis:** Post text and downloaded images are merged and sent to a secondary AI Agent. The AI evaluates the context and user reactions to flag the content as "Safe" or "Toxic". Smart Notification:** The safety report is beautifully formatted using Telegram HTML and dispatched directly to the admin's Telegram inbox. How to use Connect your Telegram Bot API credentials in both the Telegram Trigger and Send nodes. Connect your Google Gemini API key in all Language Model nodes. Connect your Apify API credentials and SerpAPI key. Configure your MongoDB connection for the chat memory nodes. Create an n8n Data Table (e.g., facebook_news_db) with a postId column (Number) and update the Data Table Upsert node to select your table. Customize the Set Context (Chat) and Set Context (Scraper) nodes with your specific details (Telegram Admin ID, Facebook Page URL, Bot Name). Activate the workflow and let the automation run. Requirements n8n Version:* Built and tested on *n8n 2.9.4+*. *(Note: You may encounter errors on older versions. It is highly recommended to update to the latest n8n version to use this workflow effectively). Google Gemini** API credentials. Telegram Bot** token. Apify** API credentials. SerpAPI** credentials. MongoDB** connection string. An active n8n Data Table. Customizing this workflow Change the scraper:** Swap the Apify node with any other social media scraping tool or RSS feed to monitor different platforms (e.g., X, LinkedIn). Change the database:** Replace the MongoDB Chat Memory node with Postgres or another memory node if you prefer a different database structure. Modify the AI persona:** Update the system prompt in the AI Agent nodes to change the chatbot's tone or the strictness of the safety evaluation. About the Author Created by: Nguyen Thieu Toan (Jay Nguyen) Email: me@nguyenthieutoan.com Website: nguyenthieutoan.com Company: GenStaff (genstaff.net) Socials (Facebook / X / LinkedIn): @nguyenthieutoan More templates: n8n.io/creators/nguyenthieutoan

Never guess your SEO strategy again. This advanced workflow automates the most time-consuming part of SEO: auditing competitor articles and identifying exactly where your brand can outshine them. It extracts deep content from top-ranking URLs, compares it against your specific brand identity, and generates a ready-to-use "Action Plan" for your content team. The workflow uses Decodo for high-fidelity scraping, Gemini 2.5 Flash for strategic gap analysis, and Google Sheets as a dynamic "Brand Brain" and reporting dashboard. ✨ Key Features Brand-Centric Auditing:* Unlike generic SEO tools, this engine uses a live Google Sheet containing your *Brand Identity** to find "Content Gaps" specific to your unique value proposition. Automated SERP Itemization:** Converts a simple list of keywords into a filtered list of top-performing competitor URLs. Deep Markdown Extraction:** Uses Decodo Universal to bypass bot-blockers and extract clean Markdown content, preserving headers and structure for high-fidelity AI analysis. Structured Action Plans:** Outputs machine-readable JSON containing the competitor's H1, their "Winning Factor," and a 1-sentence "Checkmate" instruction for your writers. ⚙️ How it Works Data Foundation: The workflow triggers (Manual or Scheduled) and pulls your Global Config (e.g., result limits) and Brand Identity from a dedicated Google Sheet. Market Discovery: It retrieves your target keywords and uses the Decodo Google Search node to identify the top competitors. A Code Node then "itemizes" these results into individual URLs. Intelligence Harvesting: Decodo Universal scrapes each URL, and an HTML 5 node extracts the body content into Markdown format to minimize token noise for the AI. Strategic Audit: The AI Content Auditor (powered by Gemini) receives the competitor’s text and your Brand Identity. It identifies what the competitor missed that your brand excels at. Reporting Deck: The final Strategy Master Writer node appends the analysis—including the "Content Gap" and "Action Plan"—into a master Google Sheet for your marketing team. 📥 Component Installation This workflow relies on the Decodo node for search and scraping precision. Install Node: Click the + button in n8n, search for "Decodo," and add it to your canvas. Credentials: Use your Decodo API key. (Tip: Use a residential proxy setting for difficult sites like Reddit or Stripe). Gemini: Ensure you have the Google Gemini Chat Model node connected to the AI Agent. 🎁 Get a free Web Scraping API subscription here 👉🏻 https://visit.decodo.com/X4YBmy 🛠️ Setup Instructions 1. Google Sheets Configuration Create a spreadsheet with the following three tabs: Target Keywords**: One column named Target Keyword. Brand Identity**: One cell containing your brand mission, USPs, and target audience. Competitor Audit Feed**: Headers for Keyword, URL, Rank, Winning Factor, Content Gap, and Action Plan. Clone the spreadsheet here. 2. Global Configuration In the Config (Set) node, define your serp_results_amount (e.g., 10). This controls how many competitors are analyzed per keyword. ➕ How to Adapt the Template Competitor Exclusion:* Add a *Filter** node after "Market Discovery" to automatically skip domains like amazon.com or reddit.com if they aren't relevant to your niche. Slack Alerts:* Connect a *Slack** node after the AI analysis to notify your content manager immediately when a high-impact "Action Plan" is generated for a priority keyword. Multi-Model Verification:* Swap Gemini with *Claude 3.5 Sonnet* or *GPT-4o** in the Strategic Audit section to compare different AI perspectives on the same competitor content.

Automate social media content aggregation to a Telegram channel This n8n template automatically aggregates and analyzes key updates from your social media platforms Home Page, delivering them as curated posts to a Telegram channel. This workflow is perfect for digital marketers, brand managers, or data analysts and Busy people, seeking to monitor real-time trends and competitor activity without manual effort. How it works The workflow is triggered automatically on a schedule to aggregate the latest social media posts. A series of If and Wait nodes monitor the data processing job until the full data is ready. An AI Agent, powered by Google Gemini, refines the content by summarizing posts and removing duplicates. An If node checks for an image in the post to decide if a photo or a text message should be sent. Finally, the curated posts are sent to your Telegram channel as rich media messages. How to use Set up BrowserAct Template: In your BrowserAct account, set up “Twitter/X Content Aggregation” template. Set up Credentials: Add your credentials for BrowserAct In Run Node , Google Gemini in Agent Node, and Telegram in Send Node. Add Workflow ID: Change the workflow_id value inside the HTTP Request inside the Run Node, to match the one from your BrowserAct workflow. Activate Workflow: To enable the automated schedule, simply activate the workflow. Requirements BrowserAct** API account BrowserAct* *“Twitter/X Content Aggregation”** Template Gemini** account Telegram** credentials customizing this workflow This workflow provides a powerful foundation for social media monitoring. You could: Replace the Telegram node with an email or Slack node to send notifications to a different platform. Add more detailed prompts to the AI Agent for more specific analysis or summarization. customize BrowserAct Workflow to reach your desire. Need Help ? How to Find Your BrowseAct API Key & Workflow ID How to Connect n8n to Browseract How to Use & Customize BrowserAct Templates Workflow Guidance and Showcase Automate Your Social Media: Get All X/Twitter Updates Directly in Telegram!

Your Cold Email is Now Researched. This pipeline finds specific bottlenecks on prospect websites and instantly crafts an irresistible pitch 🎯 Problem Statement Traditional high-volume cold email outreach is stuck on generic personalization (e.g., "Love your website!"). Sales teams, especially those selling high-value AI Receptionists, struggle to efficiently find the one Unique Operational Hook (like manual scheduling dependency or high call volume) needed to make the pitch relevant. This forces reliance on expensive, slow manual research, leading to low reply rates and inefficient spending on bulk outreach tools. ✨ Solution This workflow deploys a resilient Dual-AI Personalization Pipeline that runs on a batch basis. It uses the Filter (Qualified Leads) node as a cost-saving Quality Gate to prevent processing bad leads. It executes a Targeted Deep Dive on successful leads, using GPT-4 for analytical insight extraction and Claude Sonnet for coherent, human-like copy generation. The entire process outputs campaign-ready data directly to Google Sheets and sends a critical QA Draft via Gmail. ⚙️ How It Works (Multi-Step Execution) 1\. Ingestion and Cost Control (The Quality Gate) Trigger and Ingestion:* The workflow starts via a *Manual Trigger, pulling leads directly from **Get All Leads (Google Sheets). Cost Filtering:* The *Filter (Qualified Leads)** node removes leads that lack a working email or website URL. Execution Isolation:* The *Loop Over Leads* node initiates individual processing. The *Capture Lead Data (Set)** node immediately captures and locks down the original lead context for stability throughout the loop. Hybrid Scraping:* The *Scrape Site (HTTP Request)* and *Extract Text & Links (HTML)* nodes execute the *Hybrid Scraping* strategy, simultaneously capturing *website text* and *external links**. Data Shaping & Status:* The *Filter Social & Status (Code)* node is the control center. It filters links, bundles the context, and critically, assigns a *status** of 'Success' or 'Scrape Fail'. Cost Control Branch:* The *If (IF node)* checks this status. Items with 'Scrape Fail' bypass all AI steps (saving *100% of AI token costs) and jump directly to **Log Final Result. Successful items proceed to the AI core. 2\. Dual-AI Coherence & Dispatch (The Executive Output) Analytical Synthesis:* The *Summarize Website (OpenAI)* node uses *GPT-4* to synthesize the full context and extract the *Unique Operational Hook** (e.g., manual booking overhead). Coherent Copy Generation:* The *Generate Subject & Body (Anthropic)* node uses the *Claude Sonnet* model to generate the subject and the multi-line body, guaranteeing *coherence** by creating both simultaneously in a single JSON output. Final Parsing:* The *Parse AI Output (Code)* node reliably strips markdown wrappers and extracts the clean *subject* and *body** strings. Final Delivery:* The data is logged via *Log Final Result (Google Sheets), and the completed email is sent to the user via **Create a draft (Gmail) for final Quality Assurance before sending. 🛠️ Setup Steps Before running the workflow, ensure these credentials and data structures are correctly configured: Credentials Anthropic:** Configure credentials for the Language Model (Claude Sonnet). OpenAI:** Configure credentials for the Analytical Model (GPT-4/GPT-4o). Google Services:* Set up OAuth2 credentials for *Google Sheets* (Input/Output) and *Gmail** (Draft QA and Completion Alert). Configuration Google Sheet Setup:* Your input sheet must include the columns *email, **website\_url, and an empty Icebreaker column for initial filtering. HTTP URL:* Verify that the *Scrape Site** node's URL parameter is set to pull the website URL from the stabilized data structure: ={{ $json.website\_url }}. AI Prompts:** Ensure the Anthropic prompt contains your current Irresistible Sales Offer and the required nested JSON output structure. ✅ Benefits Coherence Guarantee:* A single *Anthropic** node generates both the subject and body, guaranteeing the message is perfectly aligned and hits the same unique insight. Maximum Cost Control:* The *IF node* prevents spending tokens on bad or broken websites, making the campaign highly *budget-efficient**. Deep Personalization:* Combines *website text* and *social media links**, creating an icebreaker that implies thorough, manual research. High Reliability:* Uses robust *Code nodes** for data structuring and parsing, ensuring the workflow runs consistently under real-world conditions without crashing. Zero-Risk QA:* The final *Gmail (Create a draft)** step ensures human review of the generated copy before any cold emails are sent out.

This n8n template demonstrates how to create authentic-looking User Generated Content (UGC) advertisements using AI image generation, voice synthesis, and lip-sync technology. The workflow transforms product images into realistic customer testimonial videos that mimic genuine user reviews and social media content. Use cases are many: Generate authentic UGC-style ads for social media campaigns, create customer testimonial videos without hiring influencers, produce localized UGC content for different markets, automate TikTok/Instagram-style product reviews, or scale UGC ad production for e-commerce brands! Good to know The workflow creates UGC-style content that appears genuine and authentic Uses multiple AI services: OpenAI GPT-4o for analysis, ElevenLabs for voice synthesis, and WaveSpeed AI for image generation and lip-sync Voice synthesis costs vary by ElevenLabs plan (typically $0.18-$0.30 per 1K characters) WaveSpeed AI pricing: ~$0.039 per image generation, additional costs for lip-sync processing Processing time: ~3-5 minutes per complete UGC video Optimized for Malaysian-English content but easily adaptable for global markets How it works Product Input: The Telegram bot receives product images to create UGC ads for AI Analysis: ChatGPT-4o analyzes the product to understand brand, colors, and target demographics UGC Content Creation: AI generates authentic-sounding testimonial scripts and detailed prompts for realistic customer scenarios Character Generation: WaveSpeed AI creates believable customer avatars that look like real users reviewing products Voice Synthesis: ElevenLabs generates natural, conversational audio using gender-appropriate voice models UGC Video Production: WaveSpeed AI combines generated characters with audio to create TikTok/Instagram-style review videos Content Delivery: Final UGC videos are delivered via Telegram, ready for social media posting The workflow produces UGC-style content that maintains authenticity while showcasing products in realistic, relatable scenarios that resonate with target audiences. How to use Setup Credentials: Configure OpenAI API, ElevenLabs API, WaveSpeed AI API, Cloudinary, and Telegram Bot credentials Deploy Workflow: Import the template and activate the workflow Send Product Images: Use the Telegram bot to send product images you want to create UGC ads for Automatic UGC Generation: The workflow will automatically create authentic-looking customer testimonial videos Receive UGC Content: Get both testimonial images and final UGC videos ready for social media campaigns Pro tip: The workflow automatically detects product demographics and creates appropriate customer personas. For best UGC results, use clear product images that show the item in use. Requirements OpenAI API** account for GPT-4o product analysis and UGC script generation ElevenLabs API** account for authentic voice synthesis (requires voice cloning credits) WaveSpeed AI API** account for realistic character generation and lip-sync processing Cloudinary** account for UGC content storage and hosting Telegram Bot** setup for content input and delivery n8n** instance (cloud or self-hosted) Customizing this workflow Platform-Specific UGC: Modify prompts to create UGC content optimized for TikTok, Instagram Reels, YouTube Shorts, or Facebook Stories. Brand Voice: Adjust testimonial scripts and character personas to match your brand's target audience and tone. Regional Adaptation: Customize language, cultural references, and character demographics for different markets and demographics. UGC Style Variations: Create different UGC formats - unboxing videos, before/after comparisons, day-in-the-life content, or product demonstrations. Influencer Personas: Develop specific customer personas (age groups, lifestyles, interests) to create targeted UGC content for different audience segments. Content Scaling: Set up batch processing to generate multiple UGC variations for A/B testing different approaches and styles.

Categorise and route emails with GPT 5 This workflow demonstrates how to use AI text classifier to classify incoming emails, and uses a multi-agent architecture to respond for each email category respectively. Use cases Business owners with a lot of incoming emails, or anyone who has huge influx of emails How it Works Any incoming emails will be read by the text classifier powered by GPT 5, and routed according to the defined categories where respective agents will take next steps. Workflow is triggered when an email comes in GPT will read email's "subject","from" and "content" to route it accurately to respective designated categories For customer support enquiries, customer support agent will take knowledge from the pinecone vector database about FAQs and policies, reply via gmail, and label the email as "Customer Support" For finance-related queries, finance agent will label email as "Finance" and assess if email is about making payment or receiving from customers. If payment-related, email will be sent to the payments team to take action. If receipts-related, email will be sent to the receivables team to take action. User will be notified via telegram after any email is sent. For sales/leads enquiries, leads agent will label the email as "Sales Opportunities", take knowledge from the pinecone vector database about the business to generate a response and draft into gmail and user will be notified via telegram to review and send. If there is lack of information for agent to generate a response, user will be notified of this via telegram as well. Any internal team member emails will be routed to the internal agent. The agent will label message as "Internal" and send user a summary of the email message via telegram. How to set up Set up Telegram bot via Botfather. See setup instructions here Setup OpenAI API for transcription services (Credits required) here Set up Openrouter account. See details here Set up Pinecone database. See details here Customization Options Other than Gmail, it is possible to connect to Outlook as well. Other than Pinecone vector database, there are other vector database that should serve the same purpose eg. supabase, qdrant, weviate Requirements Gmail account Telegram bot Pinecone account Open router account