Generate and refine technical drafts with OpenRouter writer and critic agents
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 12 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects OpenRouter Chat Model.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Normalize Request (Code): runs custom JavaScript code
- Writer Agent (AI Agent): runs an AI agent, with model: OpenRouter - Writer
- Parse Writer Output (Code): runs custom JavaScript code
- Critic Agent (AI Agent): runs an AI agent, with model: OpenRouter - Critic
- Parse Critic Output (Code): runs custom JavaScript code
- Passed or Max Iterations? (If): checks a condition and branches into true / false
- Finalize Response (Code): runs custom JavaScript code
- Increment + Stage Feedback (Code): runs custom JavaScript code
- Respond to Client (Respond to Webhook): sends the response back to the webhook caller
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in Writer Agent (v1.7), Critic Agent (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) Writer Agent (v1.7), Critic Agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (6)
- Webhook
n8n-nodes-base.webhook - Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter - If
n8n-nodes-base.if - Respond to Webhook
n8n-nodes-base.respondToWebhook
From the author
Quick Overview This workflow receives a topic and brief via webhook, uses OpenRouter LLMs to draft content and critique it, and iterates through writer/critic revisions until a minimum score is reached or the maximum iterations is hit, then returns the final…