by The { AI } rtist
Tutorial: https://comunidad-n8n.com/bot-multi-idioma-no-code/ Comunidad de telegram: https://t.me/comunidadn8n BOT: https://t.me/NocodeTranslateBot
by Supira Inc.
How It Works This workflow automates social media content creation and posting. It starts by receiving raw text input through a Webhook (for example, from LINE Bot) and saves the content into a Notion database for centralized storage. Next, GPT-4 generates platform-specific captions for Instagram, Threads, X/Twitter, and Blog. Instagram captions are prepared for automatic publishing, while Threads, X, and Blog drafts are stored in Notion for later review and manual posting. The workflow then fetches book cover images or other visuals from external APIs such as Google Books, OpenBD, or OpenLibrary. The chosen image is uploaded to Cloudinary to generate a secure, optimized URL. Finally, the Instagram Graph API is used to create a media container and publish the post automatically with the caption and image. This way, the workflow provides both automation for Instagram and reusable drafts for other platforms. Requirements Notion account with a database configured for text and captions Cloudinary account for image hosting Instagram Business account connected to the Meta Developer Platform GPT-4 (via OpenAI or LangChain node in n8n) Setup Instructions Configure the Webhook node to capture text input. Update the Notion database ID and property keys to match your schema. Add Cloudinary credentials (【cloud_name】, 【upload_preset】) in the HTTP Request node. Set 【IG_ACCESS_TOKEN】 as an environment variable. Activate the workflow and test with a sample input. Customization Adjust caption prompts for style, hashtags, or character limits. Add additional GPT nodes for more platforms. Replace or extend image sources as needed. Integrate a scheduler (Cron node) to post at specific times.
by Ivan Maksiuta
How it works Schedule Trigger — runs daily at 10:00 (adjustable). RSS Feed Read — collects fresh AI/LLM news from multiple feeds. AI Agent — analyzes news, picks the most viral story, and drafts a 30-second script. OpenAI nodes — create: a short, catchy video title a short caption for social media a long caption with hashtags HeyGen API — generates a vertical avatar video (9:16) using your selected avatar_id, voice_id, and optional background video. Wait node — checks the processing status of the video. Blotato API — uploads the video and captions for publishing. Optional publish nodes — preconfigured for TikTok, Instagram, YouTube, Facebook, etc. (disabled by default). Requirements n8n v1.105.4+ (cloud or self-hosted) HeyGen account with API key + avatar_id + voice_id Blotato account with API key and platform IDs Setup steps Import the workflow into n8n. Create credentials in n8n (⚠ do not hardcode keys): HeyGen API Key Blotato API Key Open the Setup Heygen node: Paste your heygen_api_key Add your avatar_id and voice_id Optionally change background_video_url Open the Prepare for Publish node: Paste your blotato_api_key Add IDs for TikTok, YouTube, Instagram, etc. Adjust the Schedule Trigger to your preferred time/frequency. (Optional) Enable the publish nodes if you want direct uploads to your platforms. Customization Topic — edit the AI Agent’s prompt to switch from AI/LLM news to any topic (crypto, marketing, tech, etc.). Language — update prompts for different output languages. Visuals — replace the HeyGen avatar, voice, or background video for a different look. Publishing — connect only the social platforms you actually use.
by Bhavabhuthi
A workflow to send personalized emails with respective attachment. The workflow needs a pre-formatted CSV with file names and email IDs.
by Jadai kongolo
Author: Jadai Kongolo Overview This comprehensive n8n workflow automates the entire production pipeline for creating viral "versus" style battle videos. The system generates dramatic AI-powered fight scenes between animals (or any characters you choose), complete with photorealistic imagery, cinematic effects, and automatic multi-platform publishing. Perfect for content creators looking to generate engaging short-form content at scale without manual editing or design work. Use Cases Viral Social Media Content: Automatically produce trending "X vs Y" battle videos that perform exceptionally well on TikTok, Instagram Reels, and YouTube Shorts. These comparison-style videos consistently generate high engagement and shares. Educational Entertainment: Create visually stunning educational content comparing animals, historical figures, sports teams, or any competitive matchups while maintaining viewer interest through dramatic AI-generated imagery. Automated Content Pipeline: Build a hands-free content factory that can produce multiple videos per day on schedule, complete with automatic posting to all major social platforms through integrated social media management tools. 👉 check out the UGC version of this here How It Works Stage 1 - Scene Generation The workflow begins by fetching a main character from your Google Sheets database (filtered by "To Do" status). An AI agent powered by GPT-4.1-mini then generates eight unique opponents from your specified category, ensuring each comes from a different environment or background for maximum variety and interest. Stage 2 - AI Image Creation The system creates three distinct types of images for each matchup: Close-Up Portraits: Generates fierce, intimidating close-up shots of both the main character and each opponent using Flux image generation through PiAPI. The AI creates hyper-realistic, photorealistic images showing each character roaring with detailed textures, dramatic lighting, and threatening expressions. Battle Aftermath Scenes: A separate AI agent determines the realistic winner based on each character's strengths, then generates a dramatic full-body scene showing the victor standing dominantly over the defeated opponent. These images include visible battle scars, wounds, and cinematic composition that makes the outcome unmistakably clear. The workflow includes intelligent polling mechanisms (90-second waits) to ensure all images are fully generated before proceeding, then aggregates and stores all image URLs in your Google Sheet for reference. Stage 3 - Video Assembly Using Creatomate's video rendering API, the workflow combines all generated images with background music and animated transitions into a polished final video. The template creates a fast-paced montage showing all eight battles with "VS" graphics and dynamic cuts timed to music beats. Stage 4 - Multi-Platform Publishing Once rendered, the video is automatically uploaded to Blotato's social media management platform and simultaneously published to: Instagram Reels** with optimized captions TikTok** with proper AI-generated content disclosure YouTube Shorts** as unlisted for review The workflow updates your Google Sheet with "Created" status and final video URL for tracking and analytics. Customization Options Content Themes Modify the Google Sheet to change from animals to any category: superheroes, historical warriors, vehicles, mythical creatures, sports teams, etc. Adjust AI prompts in the "Scene Creator" node to control opponent selection criteria Edit the "Image Prompt Generator" to customize visual style (fantasy, sci-fi, realistic, cartoon, etc.) Video Production Change video dimensions in "Generate Close Ups" and "Generate Scene" nodes for different platform requirements Replace the Creatomate template with your own design for different visual styles Swap background music by updating the music source URL in the "Render Video" node Adjust the number of battles per video (currently 8 scenes) Publishing Settings Configure posting schedules via the Schedule Trigger node Modify platform-specific settings (privacy levels, comments, duets) in Instagram/TikTok/YouTube nodes Add or remove social platforms by connecting additional Blotato API endpoints Customize captions using data from your Google Sheet AI Models Switch between different OpenRouter models for cost/quality tradeoffs Use GPT-4.1 for complex winner determination and GPT-4.1-mini for faster scene generation Experiment with different Flux models through PiAPI for various artistic styles Prerequisites Google Sheets**: Connected Google account with access to the workflow template OpenRouter API**: For GPT-4.1 and GPT-4.1-mini access PiAPI Account**: For Flux image generation (use referral code for bonus credits) Creatomate Account**: For video rendering with template access Blotato Account**: For multi-platform social media publishing (use promo code "NATE30" for 30% off for 6 months) 🛠️ Setup Guide Make a copy of this Google Sheet Template and connect it to the five Google Sheet nodes in the workflow: Get Main Character Add Close Ups Add Winner Get Elements Update Video Status Connect your OpenRouter API key to the two OpenRouter nodes in the "Output Parser & Chat Models" section: GPT 4.1-mini GPT 4.1 Create a PiAPI account and connect your API key to: Generate Close Ups Generate Scene Get Close Ups Get Winners Create a Creatomate account and connect your template ID and API key to the Render Video node. You can duplicate the same template shown in the video by using the source code linked in the same Skool post where you downloaded the workflow. Connect your Blotato account and get your API key to enable auto-publishing: Configure the Upload to Blotato node Add your account IDs to Instagram, TikTok, and YouTube nodes Customize the Schedule Trigger node to set your desired posting frequency (daily, weekly, etc.) The Generate authentic, influencer-style UGC videos on autopilot version of this AI video generator can be found here.
by Jonathan Reeve
Who's it for Content creators, social media managers, and marketing teams who want to automate image editing and Instagram posting workflows using AI-powered image analysis and generation. What it does This workflow automatically processes images stored in Airtable, analyzes them using AI vision models, generates optimized editing prompts, creates new variations using Google's Gemini AI, and posts the results directly to Instagram. The entire process is triggered via webhook and includes comprehensive error handling and status tracking. How it works The workflow begins when triggered via webhook with an Airtable record ID. It fetches the original image, analyzes its visual elements using GPT-4 Vision, then uses that analysis along with user-specified editing parameters (composition, lighting, style, atmosphere, color palette, text overlay) to generate an optimized prompt. Google Gemini AI then creates a new image based on these specifications, which gets uploaded back to Airtable and posted to Instagram via the Graph API. Requirements Airtable account with configured base and tables OpenAI API key for image analysis Google Gemini API key for image generation Meta Developer account with Instagram Graph API access Instagram Business account connected to Facebook Page How to set up Configure your Airtable base with the required fields: Status, Picture, Core Subject, Setting, Composition, Lighting, Style, Atmosphere, Color Palette, Text Overlay, Post Description Set up OpenAI credentials in n8n for the image analysis node Configure Google Gemini API credentials for image generation Set up Meta Graph API credentials for Instagram posting Update the Airtable base IDs and table IDs in all Airtable nodes Configure your Instagram Business Account ID in the Instagram posting nodes Test the webhook URL and ensure proper connectivity How to customize Modify the image analysis prompt in the "Analyze image" node to focus on different visual elements Adjust the Gemini generation parameters (temperature, max tokens) for different creative outputs Add additional social media platforms by duplicating the Instagram posting logic Customize error handling and status updates based on your workflow needs Add image format conversion or resizing nodes if needed for Instagram requirements
by vinci-king-01
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works This workflow automatically monitors trending topics across multiple platforms and generates content strategy insights for marketing teams. Key Steps Daily Trigger - Runs automatically every 24 hours to capture fresh trends and viral content. Multi-Platform Scraping - Uses AI-powered scrapers to analyze trends from LinkedIn, Twitter, Instagram, Google Trends, BuzzSumo, and Reddit. Trend Analysis - Processes collected data to identify viral patterns, engagement metrics, and content opportunities. Content Strategy Generation - Creates actionable insights for content planning and social media strategy. Team Notifications - Sends comprehensive reports to Slack and updates content calendars in Google Sheets. Set up steps Setup time: 10-15 minutes Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for AI-powered trend scraping. Set up Slack connection - Connect your Slack workspace for team notifications. Configure Google Sheets - Set up a Google Sheets connection for content calendar updates. Customize target industries - Modify the configuration to focus on your specific industry verticals (AI, marketing, tech, etc.). Adjust monitoring frequency - Change the trigger timing based on your content planning needs. What you get Daily trend reports** with viral content analysis and engagement metrics Content opportunity scores** for different platforms and topics Automated content calendar updates** with trending topics and suggested content Team notifications** with key insights and actionable recommendations Competitive analysis** of viral content patterns and successful strategies
by Ailin Werner
The Multi-Model Agency Content Engine is a high-performance editorial system designed for agencies. It solves the "blank page" problem by alternating between real-world social proof and strategic expertise. Features Dual-Track Logic: Automatically switches between Portfolio Case Studies (via Google Drive) and Strategic Thought Leadership (via Google Sheets). Triple-AI Brain: Parallel processing using GPT-4o, Claude 4.5, and Gemini 1.5 to provide three distinct strategic angles for every post. Human-in-the-Loop: Interactive Gmail approval system - review drafts side-by-side and approve with a single letter reply. Clean Formatting: Custom code logic that strips AI artifacts and enforces LinkedIn-optimized typography. Enterprise Reliability: Includes a global error-handling branch with instant email alerts.
by Jugal
When I was applying for roles, I learned the hard way that a one-size-fits-all resume never wins. I obsessively tailored my resume for each posting, reflecting the exact scope, impact, and stack the team cared about. That’s when the callbacks really started landing from places like Google, Apple, Amazon, and other big tech teams. Personalization worked because recruiters saw immediate alignment: my bullets mirrored their needs. So I built a small automation that flips the script. Instead of you chasing listings, it collects them for you, scores the fit against your resume, drafts a tailored cover letter, and files everything neatly into a Google Sheet then pings you for the best ones. One daily run. No more “I’ll get to it later.” Just a short list of high-signal roles and a ready-to-edit draft. But tailoring takes time and the hardest part was upstream: finding roles that truly matched my skills and narrowing to the best-fit few worth customizing for. That’s why I built a lightweight n8n workflow that does the heavy lifting for me: it pulls fresh roles, scores each one against my resume, drafts a role-specific cover letter, and drops everything into a clean Google Sheet. Below is a quick guide to set it up end-to-end so you can spend less time hunting and more time sending targeted, high-quality applications. Tutorial - Full setup tutorial https://open.substack.com/pub/jugaldb/p/ultimate-job-search-workflow-with?r=18lxy5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=false
by DIGITAL BIZ TECH
AI Cost Estimation Chatbot (Conversational Dual-Agent + OCR Workflow) Overview This workflow introduces a conversational AI Cost Estimation Chatbot with built-in OCR document analysis and interactive form guidance. It helps users and teams handle pricing, measurement, and product configuration for multiple categories such as fabrics and tiles — whether data comes from an uploaded invoice, a stored RFQ, or live user input. The system blends Mistral AI’s reasoning with n8n’s native tools — OCR Extract, Calculator, Supabase, and Gmail — to deliver clear, step-by-step cost calculations. It automatically retrieves or parses OCR data, confirms details conversationally, performs unit conversions, and returns accurate estimates in real time. Escalation and recordkeeping are handled via Gmail and Supabase. Chatbot Flow Trigger: Chat message (from n8n Chat UI) or Webhook (from a live site). Model: Mistral Cloud Chat Model (mistral-medium-latest) Memory: Simple Memory (Buffer Window, 15-message history) Tools: OCR Extract:** Reads and converts invoices, receipts, and RFQs into structured data. Supabase:** Stores and retrieves OCR data for re-use in future calculations. Calculator:** Performs all material, area, and cost computations. Gmail:** Escalates customer queries or sends quote summaries. Agent:** ai agent cost estimate Workflow Behavior: Retrieves or parses OCR data, confirms and completes missing details interactively. Guides users step-by-step through product setup (Fabric or Tile). Calculates costs transparently using MATERIAL_COSTS and PROCESSING_COSTS. Handles GSM ↔ sqm, area, and weight conversions automatically. Escalates support or order confirmations via Gmail when requested. Integrations Used | Service | Purpose | |----------|----------| | * Chat* | User-facing chatbot interface | | OCR Extract | Processes uploaded documents or receipts | | Supabase | Stores and retrieves OCR / quote data | | Mistral AI | Chat model and reasoning engine | | Calculator | Handles all numeric and cost calculations | | Gmail | Sends escalations or quote summaries | Agent System Prompt Summary > “You are an AI cost estimation assistant for a brand. > Retrieve or parse OCR data from Supabase, confirm details with the user, and calculate costs transparently. > Use the Calculator for all numeric logic based on MATERIAL_COSTS and PROCESSING_COSTS. > Handle GSM-to-sqm and other conversions automatically. > If support or follow-up is needed, send a message through Gmail. > Always guide the user conversationally, confirm assumptions, and explain every step clearly.” Key Features input: Chat Interface Conversational guidance even when OCR data doesnt exist OCR + Supabase integration for document reuse Interactive cost estimator for fabrics and tiles Transparent calculations and unit conversions Gmail integration for escalation or order confirmation Modular design for scaling to other product types Summary A powerful AI + OCR conversational cost estimation assistant that retrieves or parses order data, guides users through setup, and calculates costs transparently. It combines intelligence (Mistral), precision (Calculator), and automation (OCR + Supabase + Gmail) to create a complete, human-like quotation system — perfect for brands, manufacturers, and B2B platforms. We can help you set it up for free — from connecting credentials to deploying it live. Contact: shilpa.raju@digitalbiz.tech Website: https://www.digitalbiz.tech LinkedIn: https://www.linkedin.com/company/digital-biz-tech/ You can also DM us on LinkedIn for any help.
by Jordan Hoyle
Description Automate your personal productivity by transforming actionable emails from Gmail and Outlook into structured tasks within Google Tasks or Microsoft To Do, all managed by a multi-agent AI system. This advanced workflow utilizes a powerful Mistral Large AI Agent to orchestrate your daily task management. It operates by fetching recent emails, structuring the data, determining the correct task manager, and delegating the execution to specialized sub-agents. It's built with rate-limiting in mind, ensuring efficient and reliable operation across your connected services. ✨ Features Unified Email Input: Automatically fetches and merges emails from Gmail and Microsoft Outlook received within the last 24 hours. Centralized Data Storage: Stores and deduplicates raw email data in an n8n Data Table, converting HTML content to plain text for AI processing. Intelligent Task Extraction: A Main Task Orchestration Agent (powered by Mistral Large) reads the email data, identifies actionable tasks, and structures them with a Title, Due Date, Notes, and a Target System (Google Tasks or Microsoft To Do). Dedicated Task Execution: Leverages two specialized sub-agents (Google Tasks Agent and Microsoft To Do Agent) that handle the creation or updating of tasks, ensuring API integrity and focused execution. Scalable and Safe: Implements batch processing (max 5 tasks) and mandatory 5-second delays between sub-agent calls to prevent API rate limits and token overruns. Conversation History: Uses Memory Buffer Window nodes to maintain context within the AI agents. 🛠️ How to Set Up Credentials: Connect your credentials for Gmail, Microsoft Outlook, Google Tasks, Microsoft To Do, and the Mistral Cloud Chat Model. Data Table: Ensure the 'To Do Database' Data Table exists. Customize AI Agents: In the Tasks AI Agent (the main orchestrator), review the system prompt and verify the mandatory "Jordan Hoyle" filter. Change this to your name or the name of the person whose tasks are being managed. In the Google Tasks Agent and Microsoft To Do Agent nodes, ensure the Task List ID fields are correctly set to your desired task lists. Schedule: Set the workflow to run on a schedule (e.g., once daily) or run it manually. This workflow is the perfect solution for anyone overwhelmed by managing tasks scattered across their inbox and multiple to-do apps, bringing AI-driven order to your digital life!
by Ruben AI
Title: 🤖 AI-Powered BDR Engine: Apollo to Instantly.ai (Airtable + n8n) Overview: This is a full-stack, end-to-end AI-powered BDR workflow that automates your entire outbound process. Go from sourcing raw leads in Apollo to launching a hyper-personalized, multi-sequence campaign in Instantly.ai, all orchestrated by n8n and managed from a user-friendly Airtable interface. This template is a game-changer for founders, agencies, and sales teams. It replaces 80% of the manual work of a BDR team at a fraction of the cost, with a smarter, more efficient workflow designed to save you money on every lead. How This Workflow Works (The Upgraded Process): Lead Generation 🎯: Automatically sources targeted leads from Apollo.io and pushes the data to your Airtable base. Deep Lead Enrichment 📚: Enriches each lead with crucial context by scraping information from various sources: Company business summary and key details. The lead's most recent LinkedIn post. Recent company news releases from across the web. Intelligent Lead Qualification ✅: (NEW!) A dedicated node qualifies each lead based on your custom criteria (set in Airtable). This ensures a perfect ICP match and prevents unnecessary spending. Optimized Email Verification 📧: Emails are now verified for deliverability only after a lead has been qualified. This saves significant credits and protects your email account's sender reputation. AI-Powered Personalization ✍️: AI models craft a sequence of three highly personalized emails (subject and body) using the enriched data. An integrated "remake" option allows you to manually adjust messages as needed. Instantly.ai Campaign Push 🚀: The fully enriched, qualified, and personalized lead list is seamlessly pushed to Instantly.ai, where it automatically creates and launches a new campaign. Why This Template is Unique: End-to-End Automation: A single workflow handles the entire BDR process, eliminating the need to stitch together multiple automations. Cost Efficiency: The new pre-verification qualification step dramatically reduces API costs for email verification, making your campaigns roughly 30% cheaper than many market tools. Unmatched Personalization: Leverages multiple enrichment APIs and AI models to create truly unique and relevant email sequences. Scalable & User-Friendly: The Airtable-based UI makes it easy for non-technical users to manage campaigns, while n8n provides a robust, scalable backend. Requirements: An n8n instance (Cloud or self-hosted) Airtable account API access for: Apollo, Apify, Instantly.ai, Emailable, Jina AI, Perplexity, OpenAI/Anthropic Demo Video: Youtube: Presentation Video