n8n Multi-Agent Engineering Department: CTO Agent Orchestrates O3 and Six Specialist Agents

Import n8n template → configure OpenAI credentials → send technical requests via Chat Trigger → CTO (o3) analyzes and delegates to Architecture/DevOps/Security/QA/Backend/Frontend Agents (gpt-4.1-mini) → receive comprehensive technical deliverables

Who

Technical leads and engineers who need rapid software architecture, DevOps plans, security assessments, or full-stack development guidance

You get

Submit technical requirements via chat; an AI CTO automatically coordinates six specialist agents to produce architecture docs, deployment scripts, security guidelines, test frameworks, and frontend/backend code in parallel

You need

n8n · agent-tool

Steps

1. Import the workflow template

   Import this template's workflow JSON into your n8n instance. You can search the n8n template library for 'CTO Agent with Engineering Team' (ID: 6911) and import directly, or download the workflow.json from the source and import manually.

2. Configure OpenAI API credentials

   Configure a single openAiApi credential for all OpenAI Chat Model nodes. Set the CTO Agent's model node to o3. Set the six specialist Agent model nodes (Software Architect, DevOps Engineer, Security Engineer, QA Test Engineer, Backend Developer, Frontend Developer) to gpt-4.1-mini (or fallback to gpt-4.1 / gpt-4 if unavailable). Add your OpenAI API key in n8n Credentials and link it in each model node's credentials field.

3. Deploy the Chat Trigger webhook

   Verify the webhookId in the 'When chat message received' node (default: engineering-webhook-id), save, and activate the workflow. n8n will generate an accessible webhook URL to receive chat messages. Ensure your n8n instance's webhook URL is reachable by the caller if external access is required.

4. Send a technical request and receive deliverables

   Send a technical requirement via the configured webhook (e.g., 'Design a scalable microservices architecture for our e-commerce platform'). The CTO Agent (o3) receives the message, analyzes requirements, and decides which specialist Agents to invoke. The specialist Agents (gpt-4.1-mini) execute in parallel, and results are compiled and returned. Expected outputs include: architecture documents, CI/CD and deployment strategies, security assessments, test plans, backend API/database designs, and frontend UI/UX proposals.

   Execution prompt · Source text。Text parameter field of the six agentTool nodes: Software Architect Agent, DevOps Engineer Agent, Security Engineer Agent, QA Test Engineer Agent, Backend Developer Agent, Frontend Developer Agent; dynamically injected by the n8n framework at runtime

   Copy prompt

   ={{ $fromAI('Prompt__User_Message_', ``, 'string') }}

You are setting up an n8n-powered multi-agent AI engineering department. First confirm: 1) your n8n instance is accessible and LangChain nodes are enabled; 2) your OpenAI API key has access to o3 and gpt-4.1-mini; 3) the webhook can be triggered externally. Then import template ID 6911 and bind credentials to the 7 model nodes following this mapping: CTO→o3, the six specialists→gpt-4.1-mini. Activate the workflow and send a test technical question via Chat Trigger to validate the delegation chain. If a model is unavailable in your account, downgrade the corresponding OpenAI Chat Model node to a compatible alternative (e.g., gpt-4.1 or gpt-4), but keep the strongest reasoning model on the CTO node for task-decomposition quality.