Templates / Multi-AI Council Research 🔍: GPT 5.2, Claude Opus 4.6 & Gemini 3 Pro Aggregation

Multi-AI Council Research 🔍: GPT 5.2, Claude Opus 4.6 & Gemini 3 Pro Aggregation

Ready for 3.0

by Davide Boizza ✓ · 516 views · created 2026-02-08 · Market Research, AI Chatbot

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What 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.

  1. Search Query Optimizer (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model; output parser: Structured Output Parser
  2. Search? (If): checks a condition and branches into true / false
  3. ChatGPT 5. (Basic LLM Chain): sends a prompt to an LLM, with model: OpenAI Chat Model
  4. Claude Opus 4. (Basic LLM Chain): sends a prompt to an LLM, with model: Anthropic Chat Model
  5. Gemini 3 Pro (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model
  6. Chat: uses Chat
  7. ChatGPT Result (Edit Fields (Set)): sets 1 field: chatgpt
  8. Claude Result (Edit Fields (Set)): sets 1 field: claude
  9. Gemini Result (Edit Fields (Set)): sets 1 field: gemini
  10. Multi-Response Aggregator (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model

Services it uses

Google Gemini Chat ModelOpenAI Chat ModelAnthropic Chat Model

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)

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…

Excerpt from Davide Boizza's description on n8n.io.

View the original on n8n.io → Check your own copy

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