Templates / Monitor quantum fabrication QA with multi-agent OpenAI GPT-5 and alerts

Monitor quantum fabrication QA with multi-agent OpenAI GPT-5 and alerts

Ready for 3.0

by Cheng Siong Chin ✓ · 37 views · created 2026-06-07 · 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 25 nodes and runs on a schedule (every 30 minutes). Along the way it connects OpenAI Chat Model.

How it runs

Trigger: On a schedule (every 30 minutes).

  1. Device Characterization Agent (AI Agent): runs an AI agent, with model: OpenAI GPT-5 Model; output parser: Analysis Output Parser
  2. Fabrication Optimization Agent (AI Agent): runs an AI agent, with model: OpenAI GPT-5 Model; output parser: Analysis Output Parser
  3. Defect Detection Agent (AI Agent): runs an AI agent, with model: OpenAI GPT-5 Model; output parser: Analysis Output Parser
  4. Supply Chain Monitoring Agent (AI Agent): runs an AI agent, with model: OpenAI GPT-5 Model; output parser: Analysis Output Parser
  5. Predictive Maintenance Agent (AI Agent): runs an AI agent, with model: OpenAI GPT-5 Model; output parser: Analysis Output Parser
  6. Combine Agent Analyses (Merge): merges the data from its input branches
  7. Consolidate Findings (Aggregate): combines items into one
  8. Synthesis & Reporting Agent (AI Agent): runs an AI agent, with model: OpenAI GPT-5 Model; output parser: Synthesis Output Parser
  9. Save QA Report (Data table): uses Data table
  10. Check Critical Issues (If): checks a condition and branches into true / false

…plus 2 more steps. See the full node list below.

Services it uses

OpenAI Chat Model

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 (10)

From the author

Quick Overview This workflow runs every 30 minutes and uses OpenAI (GPT-5-mini) to analyze quantum fabrication operations across device performance, process optimization, defect detection, supply chain, and maintenance. It synthesizes the results into a…

Excerpt from Cheng Siong Chin's description on n8n.io.

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

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