Templates / Generate consensus-based answers using Claude, GPT, Grok and Gemini

Generate consensus-based answers using Claude, GPT, Grok and Gemini

Ready for 3.0

by Yehor EGMS ✓ · 830 views · created 2026-01-05 · Engineering, AI Summarization

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 41 nodes and runs when a chat message arrives. Along the way it connects OpenRouter Chat Model, Anthropic Chat Model, xAI Grok Chat Model and OpenAI Chat Model and 5 more.

How it runs

Trigger: When a chat message arrives.

  1. Basic LLM Chain: sends a prompt to an LLM, with model: claude
  2. Basic LLM Chain: sends a prompt to an LLM, with model: openAI
  3. Basic LLM Chain: sends a prompt to an LLM, with model: groq
  4. Basic LLM Chain: sends a prompt to an LLM, with model: gemini
  5. response a (Edit Fields (Set)): sets 1 field: text_A
  6. response b (Edit Fields (Set)): sets 1 field: text_B
  7. response c (Edit Fields (Set)): sets 1 field: text_C
  8. response d (Edit Fields (Set)): sets 1 field: text_D
  9. Merge: merges the data from its input branches
  10. Merge: merges the data from its input branches

…plus 21 more steps. See the full node list below.

Services it uses

OpenRouter Chat ModelAnthropic Chat ModelxAI Grok Chat ModelOpenAI Chat ModelGoogle Gemini Chat ModelGmailSlackWhatsApp Business CloudTelegram

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 (14)

From the author

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 original idea, reimplemented and structured as a…

Excerpt from Yehor EGMS's description on n8n.io.

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

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