# Monitor quantum fabrication QA with OpenAI: n8n workflow

> Started by a clock, and works across n8n data table. It hands the judgement calls to OpenAI.

Source: https://millionrounds.com/workflow/monitor-quantum-fabrication-qa-with-openai (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Alerts and monitoring](https://millionrounds.com/workflows?category=Alerts+and+monitoring#library)

# Monitor quantum fabrication QA with OpenAI

Started by a clock, and works across n8n data table. It hands the judgement calls to OpenAI. 25 steps, 1 branch: large, and worth reading before you trust it with anything live.

Large Calls a model: OpenAI

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fmonitor-quantum-fabrication-qa-with-openai)

**25 steps** Large: read it before trusting it with anything live

**1** Branch: places the flow splits

**0** Loops or waits

**1** Service it connects to

## The flow

Starts it 1 Model 18 Logic 4 Service 2

The steps in the order they run, from what starts it.

- 1 **Monitor Every 30 Minutes** Schedule trigger *Starts it*
- 2 **OpenAI GPT-5 Model** Lm Chat Open Ai *Model*
- 3 **Analysis Output Parser** Output Parser Structured *Model*
- 4 **Synthesis Output Parser** Output Parser Structured *Model*
- 5 **OpenAI GPT-5 Model1** Lm Chat Open Ai *Model*
- 6 **OpenAI GPT-5 Model2** Lm Chat Open Ai *Model*
- 7 **Analysis Output Parser1** Output Parser Structured *Model*
- 8 **OpenAI GPT-5 Model3** Lm Chat Open Ai *Model*
- 9 **Analysis Output Parser2** Output Parser Structured *Model*
- 10 **OpenAI GPT-5 Model4** Lm Chat Open Ai *Model*
- 11 **Analysis Output Parser3** Output Parser Structured *Model*
- 12 **OpenAI GPT-5 Model5** Lm Chat Open Ai *Model*
- 13 **Analysis Output Parser4** Output Parser Structured *Model*
- 14 **Device Characterization Agent** Agent *Model*
- 15 **Fabrication Optimization Agent** Agent *Model*
- 16 **Defect Detection Agent** Agent *Model*
- 17 **Supply Chain Monitoring Agent** Agent *Model*
- 18 **Predictive Maintenance Agent** Agent *Model*
- 19 **Synthesis & Reporting Agent** Agent *Model*
- 20 **Combine Agent Analyses** Merge *Logic*
- 21 **Save QA Report** Data Table *Service*
- 22 **Check Critical Issues** If *Logic*
- 23 **Consolidate Findings** Aggregate *Logic*
- 24 **Send Critical Alert** Http Request *Service*
- 25 **Log Normal Operation** Set *Logic*

## How it's built

- **Starts on:** A clock
- **Steps:** 25, with 1 branch
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** n8n data table
- **Model:** OpenAI

## Questions

What does it need to run?

An n8n account, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on a clock.

Does it use AI?

Yes. It calls OpenAI. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Take your time. At 25 steps it is large: read it before trusting it with anything live.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 25 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fmonitor-quantum-fabrication-qa-with-openai)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Connects to

Each opens the other workflows that use it.

[n8n data table](https://millionrounds.com/workflows?service=n8n+data+table#library)

## Workflows like it

Also alerts and monitoring, with the same services where possible, closest in size first.

- [**Employee time tracking system with OpenAI and Gmail** 25 steps · calls a model · Gmail, n8n data table](https://millionrounds.com/workflow/employee-time-tracking-system-with-openai-and-gmail)
- [**Scan personal data in data tables with Groq and Discord** 25 steps · calls a model · Discord, n8n data table](https://millionrounds.com/workflow/scan-personal-data-in-data-tables-with-groq-and-discord)
- [**Monitor Truth Social posts for Iran-Israel risk and alert Discord** 26 steps · calls a model · Discord, n8n data table](https://millionrounds.com/workflow/monitor-truth-social-posts-for-iran-israel-risk-and-alert-di)
- [**Score and alert Upwork jobs with OpenAI and Telegram** 26 steps · calls a model · Telegram, n8n data table](https://millionrounds.com/workflow/score-and-alert-upwork-jobs-with-openai-and-telegram)
- [**Monitor AI budgets and optimize costs with Claude and Slack** 23 steps · calls a model · Email, Slack](https://millionrounds.com/workflow/monitor-ai-budgets-and-optimize-costs-with-claude-and-slack)
- [**Coordinate robot swarms with OpenAI** 22 steps · calls a model · Slack, n8n data table](https://millionrounds.com/workflow/coordinate-robot-swarms-with-openai)
