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Personalize marketing emails using customer data and AI

This workflow uses AI to analyze customer sentiment from product feedback. If the sentiment is negative, AI will determine whether offering a coupon could improve the customer experience. Upon completing the sentiment analysis, the workflow creates a personalized email templates. This solution streamlines the process of engaging with customers post-purchase, particularly when addressing dissatisfaction, and ensures that outreach is both personalized and automated. This workflow won the 1st place

Fetch the public IP addresses of your n8n instance

Why If you need to use n8n to connect to service providers of yours, some of which happen to rely on firewall white-listing as part of their access control, you'll need to determine or verify the public IP addresses of your n8n instance(s). How does it work The webhook, upon invocation, will use Http Request node to request public IP address information from ++api.ipify.org++ in json format, for 10 times, then aggregate results to an array. The reason to repeat, is to get all the potential pub

Automatically generate burn-in video captions with json2video

Automatically Add Captions to Your Video Who Is This For? This workflow is ideal for content creators, marketers, educators, and businesses that regularly produce video content and want to enhance accessibility and viewer engagement by effortlessly adding subtitles. What Problem Does This Workflow Solve? Manually adding subtitles or captions to videos can be tedious and time-consuming. Accurate captions significantly boost viewer retention, accessibility, and SEO rankings. What Does This Workflo

Azure Logic Apps - AS2 Send Receive

Creates integration accounts for two partners, Contoso and Fabrikam, including the artifacts for partners and agreements. The template also creates logic apps between Fabrikam Sales and Contoso to demonstrate synchronous AS2 Send Receive. The template also creates logic apps between Fabrikam Finance and Contoso, which demonstrate asynchronous AS2 Send Receive.

Build your own Qdrant vector store MCP server

This n8n demonstrates how to build your own Qdrant MCP server to extend its functionality beyond that of the official implementation. This n8n implementation exposes other cool API features from Qdrant such as facet search, grouped search and recommendations APIs. With this, we can build an easily customisable and maintainable Qdrant MCP server for business intelligence. This MCP example is based off an official MCP reference implementation which can be found here - How it works A MCP server t

Conversational interviews with AI agents and n8n forms

This n8n template combines an AI agent with n8n's multi-page forms to create a novel interaction which allows automated question-and-answer sessions. One of the more obvious use-cases of this interaction is what I'm calling the AI interviewer. You can read the full post here: Live demo here: How it works A form trigger is used to start the interview and a new session is created in redis to capture the transcript. An AI agent is then tasked to ask questions to the user regarding the topic of

Analyze brand visibility in AI SERPs with SE Ranking and OpenAI GPT-4.1 mini

This workflow automates brand intelligence analysis across AI-powered search results by combining SE Ranking’s AI Search data with structured processing in n8n. It retrieves real AI-generated prompts, answers, and cited sources where a brand appears, then normalizes and consolidates this data into a clean, structured format. The workflow eliminates manual review of AI SERPs and makes it easy to understand how AI search engines describe, reference, and position a brand. Who this is for

AI-powered lead research & personalized email generation with Groq & Google Sheets

Overall Description & Potential << What Does This Flow Do? >> Overall, this workflow is an intelligent sales outreach automation engine that transforms raw leads from a form or a list into highly personalized, ready-to-send introductory email drafts. The process is: it starts by fetching data, enriches it with in-depth AI research to uncover "pain points," and then uses those research findings to craft an email that is relevant to the solutions you offer. This system so