Chat Trigger → Anthropic Chat

Build your own Klue/Crayon alternative: Auto-generate comprehensive competitive battlecards with AI research agents for ~$50/month instead of $1,500+

YouTube Agent. Uses supabase, agent, lmChatAnthropic, outputParserStructured. Webhook trigger; 56 nodes.

The original LLM Council concept was introduced by Andrej Karpathy and published as an open-source repository demonstrating multi-model consensus and ranking. This workflow is my adaptation of that or

Credentials-Setup. Uses twitter, reddit, googleDocs, googleDrive. Event-driven trigger; 43 nodes.

The workflow operates through a three-step process that handles incoming chat messages with intelligent tool orchestration: Message Trigger: The node triggers whenever a user message arrives and passe

Advanced Ai Demo Presented At Ai Developers 14 Meetup. Uses slack, stickyNote, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Chat trigger; 39 nodes.

Advanced Ai Demo (Presented At Ai Developers #14 Meetup). Uses slack, stickyNote, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Chat trigger; 39 nodes.

Workflow 2358. Uses slack, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, documentDefaultDataLoader. Chat trigger; 39 nodes.

2358. Uses slack, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, documentDefaultDataLoader. Chat trigger; 39 nodes.

This workflow was presented at the AI Developers meet up in San Fransico on 24 July, 2024. Categorize incoming Gmail emails and assign custom Gmail labels. This example uses the Text Classifier node,

The Full Blogging Automation Journey This N8N workflow transforms a simple topic request into a fully published, SEO-optimized blog post through a seamless 7-phase process. Starting with your topic id

Think Agents. Uses agent, chatTrigger, toolThink, lmChatAnthropic. Chat trigger; 38 nodes.

Indoor Farming Agent. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, toolVectorStore. Webhook trigger; 36 nodes.

This workflow implements an advanced AI-powered system for generating, and executing Claude Skills stored on GitHub.

Paste any text and get a verdict on whether it was written by a human, AI, or a hybrid mix. Instead of trusting one black-box score, this workflow runs your text through statistical analysis and a thr

This n8n workflow transforms natural language queries into targeted B2B prospecting campaigns by combining Explorium's data intelligence with AI-powered research and personalized email generation. Sim

Chat with a multi-agent system to write a blog. The orchestrator advances through research, headlines, hooks, outline, intro, draft, and final polish–one phase per reply—outputting options and asking

Think Tool. Uses stickyNote, agent, googleCalendarTool, memoryBufferWindow. Chat trigger; 28 nodes.

ModelRouter. Uses chatTrigger, agent, modelSelector, httpRequest. Chat trigger; 28 nodes.

This workflow turns a simple chat interface into a powerful personal expense tracker. Just describe your spending in plain language — the AI understands it, categorizes it, and saves it to Google Shee

Ask the same question to multiple LLMs and get one answer you can actually trust. Instead of hoping one model gets it right, this workflow sends your question to four models at once, compares what the

A friendly, practical tool that makes working with AppSheet data simpler and more efficient. This workflow is your go-to helper for building precise queries without getting lost in a sea of different

Notion Ai Assistant Generator. Uses stickyNote, notion, outputParserAutofixing, lmChatAnthropic. Chat trigger; 24 nodes.

Stickynote Notion. Uses stickyNote, notion, outputParserAutofixing, lmChatAnthropic. Chat trigger; 24 nodes.