Automated email management with Gemini AI: Gmail summarizing, labeling and Notion/Sheets logging
AI Email Manager: Auto Summary, Labeling, and CRM Logging via n8n + Gemini Overview This workflow turns your Gmail inbox into a fully autonomous AI Email Agent that reads, summarizes, categorizes, and organizes emails in real-time. Built with n8n, Google Gemini, Notion, and Google Sheets, it’s perfect for founders, freelancers, and agencies who receive a ton of emails daily and want to automate the triage process without losing control. How It Works Gmail Trigger — Detects new incoming emails. Process Email Data — Extracts sender info, subject, and content in a clean structured format. AI Email Analyzer — Uses Gemini AI to summarize the email and decide the most relevant label (e.g., Project Updates, Client Requests, Invoices, etc.). Create Gmail Label (if not exists) — Dynamically creates a new label if the AI recommends one that doesn’t exist. AI Agent + Add Label to Email — Applies the correct Gmail label automatically using the message ID. Logs in Notion & Google Sheets — Every processed email (summary, sender, date, label) is logged for tracking and analytics. Who It’s For Entrepreneurs & Founders — Manage investor, client, and product update emails automatically. Agencies & Teams — Classify and track client emails effortlessly across projects. Freelancers & Consultants — Get AI summaries and organize leads without manually labeling emails. Tech Builders — Anyone building AI automation tools and SaaS products around inbox management.
By Apurva MishraCreate Deepfake Videos by Swapping Faces with Fal.ai Wan 2.2 and AWS S3
Animate Any Face into a Video with Fal.ai Create stunning deepfake-style videos automatically by swapping a face from an image onto a source video. This workflow provides a powerful, automated pipeline to perform video face-swapping using the Fal.ai API. It's designed to handle the entire asynchronous process: accepting a source video and a target face image, uploading them to cloud storage, initiating the AI job, polling for completion, and retrieving the final, rendered video. | Services Used | Features | | :--- | :--- | | 🤖 Fal.ai | Leverages the powerful Wan 2.2 model for high-quality face animation. | | ☁️ AWS S3 | Uses enterprise-grade cloud storage for reliable public file hosting. | | 🔄 Polling Loop | Intelligently waits for the asynchronous AI job to complete before proceeding. | | 📥 n8n Form Trigger | Provides a simple UI to upload your source image and video. | --- How It Works ⚙️ 📥 Get User Input: The workflow starts when you upload a source video and a face image via the n8n Form Trigger. ☁️ Upload to Cloud: Both files are automatically uploaded to a specified AWS S3 bucket to generate the publicly accessible URLs required by the AI model. 🚀 Start AI Job: The public URLs for the video and image are sent in an HTTP Request to the Fal.ai API, which starts the asynchronous face animation process and returns a request_id. ⏳ Wait & Check: The workflow enters a polling loop. It Waits for one minute, then makes another HTTP Request to the Fal.ai status endpoint using the request_id. ✅ Check for Completion: An IF node checks if the job status is COMPLETED. If not, the workflow loops back to the Wait node. 🎬 Retrieve Final Video: Once the job is complete, the workflow makes a final HTTP Request to fetch the finished animated video. --- 🛠️ How to Set Up 🔑 Set Up Fal.ai Credentials: Get your API Key from Fal.ai. In n8n, go to Credentials, add a new Header Auth credential, and save your key. Connect this credential to all three HTTP Request nodes in the workflow. ☁️ Configure AWS S3: Add your AWS credentials in n8n. In the two AWS S3 nodes (Upload Video1 and Upload Image1), update the Bucket Name parameter to your own S3 bucket. Ensure your bucket permissions allow for public reads. ▶️ Activate and Run: Activate the workflow. Open the Form Trigger URL from the n8n editor, upload your files, and submit. The final video will be available in the execution log of the Get Final Video node. --- Requirements An active Fal.ai account and API key. An AWS account with an S3 bucket configured for public access. Alternative Storage: For a personal setup, you can replace the AWS S3 nodes with Cloudinary nodes. Just ensure the output is a public URL. --- 💬 Need Help or Want to Learn More? Join my Skool community for n8n + AI automation tutorials, live Q&A sessions, and exclusive workflows: 👉 https://www.skool.com/n8n-ai-automation-champions --- Template Author: Sandeep Patharkar Category: Content Generation / Content Marketing Difficulty: Intermediate Estimated Setup Time: ⏱️ 20 minutes
By Sandeep Patharkar | www.FastTrackAiMastery.com