Review Jira ticket quality with OpenRouter GPT and coaching comments
Ready for 3.0Ready 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 8 nodes and runs on Jira events (jira:issue created). Along the way it connects Jira Software and OpenRouter Chat Model.
How it runs
Trigger: On Jira events (jira:issue created).
- Set Score Threshold (Edit Fields (Set)): sets 1 field: SCORE_THRESHOLD
- Quality Analysis Agent (AI Agent): runs an AI agent, with model: OpenAI Quality Evaluator
- Parse Normalized Score (Code): runs custom JavaScript code
- Check Score Threshold (If): checks a condition and branches into true / false
- Add Comment to JIRA Ticket (Jira Software): work with issue comment
Services it uses
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 (8)
- Jira Trigger
n8n-nodes-base.jiraTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - Jira Software
n8n-nodes-base.jira - Edit Fields (Set)
n8n-nodes-base.set - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter - Code
n8n-nodes-base.code - If
n8n-nodes-base.if - No Operation, do nothing
n8n-nodes-base.noOp
From the author
Quick overview This workflow triggers on new Jira Cloud issues (Story, Bug, or Task), uses OpenRouter (OpenAI model) to score ticket quality across five criteria, and posts an automated coaching comment back to Jira only when the ticket falls below a…