When you need Chainllm and Outputparserautofixing talking to each other, here are the 64 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.
Workflows that pair Chainllm with Outputparserautofixing
Content - Newsletter Agent. Uses formTrigger, chainLlm, outputParserStructured, httpRequest. Event-driven trigger; 91 nodes.
Content - Newsletter Agent. Uses formTrigger, chainLlm, outputParserStructured, httpRequest. Event-driven trigger; 87 nodes.
Agent Nodes. Uses lmChatOpenAi, slack, stopAndError, errorTrigger. Event-driven trigger; 72 nodes.
Docsify example. Uses convertToFile, extractFromFile, html, sort. Webhook trigger; 60 nodes.
Docsify example. Uses convertToFile, extractFromFile, html, sort. Webhook trigger; 60 nodes.
This workflow creates a documentation system for n8n instances using Docsify.js. It serves a dynamic documentation website that allows users to: View an overview of all workflows in a tabular format F
Docsify example. Uses readWriteFile, n8n, chainLlm, lmChatOpenAi. Webhook trigger; 60 nodes.
Test Webhooks in n8n Without Changing WEBHOOK_URL (PostBin & BambooHR Example). Uses manualTrigger, stickyNote, httpRequest, postBin. Event-driven trigger; 58 nodes.
Many new n8n users struggle with testing webhooks when running n8n on localhost, as external services cannot reach . This workflow introduces a technique using PostBin, which provides a temporary, pub
This workflow serves as a comprehensive "Workflow Nodes SEO & Documentation Generator". It uses AI to analyze, rename, and document n8n workflows, offering a streamlined way to optimize workflow reada
Transform your WhatsApp group conversations into actionable business intelligence through automated AI analysis and daily reporting. This workflow eliminates manual conversation monitoring by capturin
1-[Agente-Abogado]-Asistente-Whatsapp. Uses lmChatOpenAi, toolWorkflow, toolCalculator, agent. Webhook trigger; 52 nodes.
Splitout Filter. Uses manualTrigger, outputParserStructured, lmChatOpenRouter, informationExtractor. Event-driven trigger; 51 nodes.
This intelligent workflow automatically discovers and analyzes recently funded startups by: Monitoring multiple news sources (TechCrunch and VentureBeat) for funding announcements Using AI to extract
[Agente-Abogado]-Asistente-Whatsapp. Uses lmChatOpenAi, toolWorkflow, memoryPostgresChat, toolCalculator. Webhook trigger; 51 nodes.
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
SEO Articles to Github Publish Workflow. Uses outputParserAutofixing, outputParserStructured, github, lmChatGoogleGemini. Webhook trigger; 44 nodes.
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
Telegram Code. Uses lmChatOpenAi, outputParserAutofixing, outputParserStructured, telegramTrigger. Event-driven trigger; 43 nodes.
Telegram Code. Uses lmChatOpenAi, outputParserAutofixing, outputParserStructured, telegramTrigger. Event-driven trigger; 43 nodes.
This workflow is for users who want to turn Telegram into a personal AI-powered assistant capable of handling everyday tasks through natural language. It's ideal for solo founders, operators, or profe
See more Chainllm workflows · Outputparserautofixing workflows
FAQ
How do I trigger a Outputparserautofixing action from Chainllm?
Most workflows in this list use either a Chainllm webhook trigger (real-time) or a polling trigger (every N minutes). From there, downstream Outputparserautofixing nodes handle the action. Open any workflow's detail page to see the exact node graph.
Do I need both a Chainllm and a Outputparserautofixing 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 Chainllm → Outputparserautofixing 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.