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Make multi-agent council decisions with OpenAI GPT-5

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Make multi-agent council decisions with OpenAI GPT-5 preview
Open on n8n.io

1. Workflow Overview

Quick Overview This workflow runs a manual “AI council” that evaluates a proposal with four OpenAI powered specialist agents, aggregates their structured perspectives, and has a chairman agent synt...

Best for

  • Engineering automation workflows
  • AI Chatbot automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.aggregate, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.

Original n8n.io source

1.1 Workflow description

Title
Make multi-agent council decisions with OpenAI GPT-5
Workflow name
Make multi-agent council decisions with OpenAI GPT-5

Quick Overview

This workflow runs a manual “AI council” that evaluates a proposal with four OpenAI-powered specialist agents, aggregates their structured perspectives, and has a chairman agent synthesize a final decision with voting, rationale, and action items.

How it works

  1. Starts when you manually trigger the workflow and provide a proposal (and optional context).
  2. Sends the proposal in parallel to four OpenAI-based agents that assess it from strategic, contrarian, ethics/compliance, and execution/operations perspectives and return structured JSON.
  3. Aggregates all agent outputs into a single combined set of council perspectives.
  4. Builds a consolidated council briefing that includes the original proposal, context, and each agent’s structured analysis.
  5. Uses a chairman OpenAI agent to synthesize the perspectives into an executive summary, consensus and divergences, a voting breakdown, a final approve/reject/modify decision, and action items.
  6. Formats the chairman’s output into a readable council decision report for review or downstream use.

Setup

  1. Add an OpenAI API credential and connect it to the workflow’s OpenAI chat model node used by the four agents and the chairman.
  2. Replace the placeholder proposal (and optional context) values with your own input method or update the manual trigger step before running.
  3. Select the OpenAI model you want to use (currently set to gpt-5-mini) and adjust the agents’ system prompts if you need domain-specific roles or decision criteria.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Start Council Session

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 2 - Prepare Proposal

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 3 - Strategic Thinker Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 4 - OpenAI GPT-5

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.3

Block 5 - Strategist Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 6 - Aggregate Agent Perspectives

Type / Role
n8n-nodes-base.aggregate - aggregate
Config choices
Version 1

Block 7 - Contrarian Thinker Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 8 - Contrarian Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 9 - Ethics & Compliance Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 10 - Ethics Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 11 - Execution & Operations Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 12 - Execution Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 13 - Prepare Chairman Input

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 14 - Chairman Agent

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3.1

Block 15 - Chairman Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 16 - Format Council Decision

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 17 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 18 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 19 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 20 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 21 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 22 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 23 - Sticky Note6

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Make multi-agent council decisions with OpenAI GPT-5
Complexity advanced
Nodes 23
Categories Engineering, AI Chatbot
Author Cheng Siong Chin
Published 07 Jun 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/16152/16152.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Make multi-agent council decisions with OpenAI GPT-5 do?

Quick Overview This workflow runs a manual “AI council” that evaluates a proposal with four OpenAI powered specialist agents, aggregates their structured perspectives, and has a chairman agent synt...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, AI Chatbot use case.