Multi-AI Council Research 🔍: GPT 5.2, Claude Opus 4.6 & Gemini 3 Pro Aggregation
Ready for 3.0What this workflow does
This AI workflow has 17 nodes and runs when a chat message arrives. Along the way it connects Google Gemini Chat Model, OpenAI Chat Model and Anthropic Chat Model.
How it runs
Trigger: When a chat message arrives.
- Search Query Optimizer (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model; output parser: Structured Output Parser
- Search? (If): checks a condition and branches into true / false
- ChatGPT 5. (Basic LLM Chain): sends a prompt to an LLM, with model: OpenAI Chat Model
- Claude Opus 4. (Basic LLM Chain): sends a prompt to an LLM, with model: Anthropic Chat Model
- Gemini 3 Pro (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model
- Chat: uses Chat
- ChatGPT Result (Edit Fields (Set)): sets 1 field: chatgpt
- Claude Result (Edit Fields (Set)): sets 1 field: claude
- Gemini Result (Edit Fields (Set)): sets 1 field: gemini
- Multi-Response Aggregator (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (9)
- Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Chat
@n8n/n8n-nodes-langchain.chat - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Edit Fields (Set)
n8n-nodes-base.set - If
n8n-nodes-base.if
From the author
This workflow implements a multi-model AI orchestration with the BEST models at now (ChatGPT 5.2, Claude Opus 4.6, Gemini 3 Pro) and response aggregation system designed to handle user chat inputs intelligently and reliably. --- Key Advantages 1. ✅ Higher…