A work in progress flow (working on improving the package recommendation model) 🧠 AI-Powered Package Recommendation System – Workflow Documentation 1. Package Recommendation via Email (Customer Request Handling) This workflow handles incoming customer requests for travel packages via email, classifies the content, retrieves relevant packages using RAG (Retrieval-Augmented Generation), and sends a personalized response. 📌 Workflow Steps: 1. Email Trigger (IMAP)Watches for incoming emails in a specified mailbox. 2. Text ClassifierClassifies the email into one of several categories, such as: 3. Code NodeParses and prepares the request details (e.g., destination, duration, pax) from the email body for the AI Agent. 4. AI AgentOrchestrates the conversation using: 5. Vector Retrieval via PineconeSearches the Pinecone Vector Store using vector similarity based on the customer's email request. 6. Send EmailSends a personalized travel package recommendation email back to the customer. 2. Package Data Ingestion from Google Drive (RAG Preprocessing Flow) This workflow automates loading package content from PDFs, processing the text, and storing the information as embeddings in Pinecone for retrieval. 📌 Workflow Steps: 1. Manual Trigger (Test Button)Used to manually initiate the data ingestion pipeline. 2. Google Drive – File DownloadDownloads a batch of PDF files from a designated Google Drive folder containing travel package details. 3. Loop Over ItemsIterates through each file to extract and process the contents. 4. Default Data LoaderExtracts raw text from each PDF document. 5. Recursive Character Text SplitterSplits long package content into manageable chunks to ensure compatibility with embedding limits. 6. OpenAI EmbeddingsConverts each text chunk into vector embeddings. 7. Pinecone Vector StoreStores the embeddings under a unified namespace for later retrieval during customer queries. ✅ Summary These two workflows together create a fully automated AI Travel Package Recommendation Engine:

Created a webscraper, that scraps all the tour agents details in a given country, saving them in spreadsheet, reading through the spreadsheet records, personalising email based on the bisuness type, and sending them a survey email (Survey on analysing the readiness to adopt AI Agent in their Business). Reason: Before diving deep into developing something I understood from my experience, wanted to get the feedback on what the market is really looking for, so I can navigate through the maze through data driven decision. What's next, Adding the Survey Link (getting it production ready), Extracting Survey Responses, Analysing and Updating the data in real-time with insights on the sentiments, perferences and readiness.

This space is all about learning by building and building by sharing. If you’ve created something cool using AI tools, automations, workflows, or custom GPTs—this is where you share it. ✅ Teach us something: Break down how your build works. What tools did you use? What problems did it solve? ✅ Provide value first: When you give generously, you’ll gain knowledge, support, and new ideas tenfold. ❌ No spam, no shady links, no self-promo dumps: Let's keep the links clean and aimed to provide value. Whether it's simple or advanced, your builds and lessons matter. Let’s make this a goldmine of knowledge for everyone. 👇 Drop your first build or insight below and let’s learn together!

Hey everyone, Our good friend @Luis Gonzales was gracious enough to share with us his amazing work. Here is a link to his GitHub repo filled with n8n workflow templates and resources that he built out. https://github.com/Kookylo/claude_workflow_generator From lead nurturing to marketing automations, Luis has included a bunch of great downloadable json workflow templates for us all. Feel free to check it out and leave some feedback, I'm sure it would be valuable for Luis and the rest of us as well. Drop any questions in the 'Technical Support' tab and we'll be sure to get back to you. *For anyone that hasn't used GitHub before, Luis provides clear instructions on how to access these files. If you are familiar with n8n, it's as simple as downloading the json and importing it into your Editor* Thank you again Luis for this amazing resource and happy learning and building to us all :)