When you need OpenAI Chat and Textclassifier talking to each other, here are the 163 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.
Workflows that pair OpenAI Chat with Textclassifier
Bread-Meat-Delivery. Uses lmChatOpenAi, agent, httpRequest, redis. Webhook trigger; 91 nodes.
AI Customer Service Automation - Portfolio. Uses googleSheets, httpRequest, agent, memoryBufferWindow. Webhook trigger; 91 nodes.
auto_post_wordpress_. Uses rssFeedRead, lmChatOpenAi, textClassifier, agent. Scheduled trigger; 90 nodes.
blog writing automation. Uses rssFeedRead, lmChatOpenAi, textClassifier, agent. Scheduled trigger; 90 nodes.
Alfred (funcional). Uses gmailTool, googleCalendarTool, gmail, embeddingsOpenAi. Event-driven trigger; 83 nodes.
We’ve released Version 4 of our AI Powered Blog Automation workflow. We heard your complains and made a complete redesign built for serious content creators.
Template Nodes Example. Uses CUSTOM, formTrigger, executeWorkflowTrigger, chatTrigger. Event-driven trigger; 70 nodes.
Hi! I'm Bruno — I’ve been building AI-powered workflows for n8n and Make for 2+ years, focused on smart automation and real conversational agents.
This n8n template automatically classifies incoming emails (Sales, Support, Internal, Finance, Promotions) and routes them to a dedicated OpenAI LLM Agent for processing. Depending on the category, th
___MAIN_2_Modularizado_24_3___ATIVO___ADVOCACIA_n8n___AGENTE_ENCAMINHAMENTO_. Uses supabase, httpRequest, informationExtractor, lmChatOpenAi. Event-driven trigger; 68 nodes.
Inbox Guardian. Uses gmailTrigger, lmChatOpenAi, agent, textClassifier. Event-driven trigger; 66 nodes.
z-Api. Uses httpRequest, openAi, redis, postgres. Webhook trigger; 61 nodes.
✨🔪 Advanced AI Powered Document Parsing & Text Extraction with Llama Parse. Uses gmail, gmailTrigger, limit, stickyNote. Webhook trigger; 54 nodes.
This workflow automates document processing using LlamaParse to extract and analyze text from various file formats. It intelligently processes documents, extracts structured data, and delivers actiona
BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.
BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.
This workflow enables companies to provide instant HR support by automating responses to employee queries about policies and benefits: Retrieves company policies, benefits, and HR documents from Bambo
BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter, memoryBufferWindow. Event-driven trigger; 50 no
V2 (2026) available! An intelligent, fully automated news aggregation system that collects articles from multiple sources (RSS feeds + Google Search), uses AI to classify and summarize the most import
AI marketing Team Agent. Uses toolWorkflow, telegram, memoryBufferWindow, openAi. Event-driven trigger; 46 nodes.
• Multi-Layer Message Analysis - Every customer interaction passes through three specialized AI classifiers: privacy detection (identifies sensitive data and security requirements), intent recognition
This workflow ingests company policy PDFs from BambooHR into a Supabase vector database and provides an employee chat interface that answers policy and benefits questions using OpenAI, with an additio
This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
Turn your cluttered inbox into a smart, autonomous assistant that categorizes emails, replies to leads, checks your calendar, and notifies you on Telegram—all without lifting a finger.
See more OpenAI Chat workflows · Textclassifier workflows
FAQ
How do I trigger a Textclassifier action from OpenAI Chat?
Most workflows in this list use either a OpenAI Chat webhook trigger (real-time) or a polling trigger (every N minutes). From there, downstream Textclassifier nodes handle the action. Open any workflow's detail page to see the exact node graph.
Do I need both a OpenAI Chat and a Textclassifier account?
Yes — n8n connects to each integration via your own credentials. AutomationFlows strips credential IDs before publishing, so you'll add your own.
Are these OpenAI Chat → Textclassifier workflows free?
Yes — every workflow on AutomationFlows is free to browse and copy. Pro adds a multi-signal QualityScore on every workflow plus bulk JSON download.