Monitor semiconductor board reliability with OpenAI and Slack alerts
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.
Rarely used nodes in this template: n8n-nodes-base.emailSendHitlTool
Nodes used (18)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Webhook
n8n-nodes-base.webhook - Google Sheets
n8n-nodes-base.googleSheets - Edit Fields (Set)
n8n-nodes-base.set - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - AI Agent Tool
@n8n/n8n-nodes-langchain.agentTool - Calculator
@n8n/n8n-nodes-langchain.toolCalculator - Code Tool
@n8n/n8n-nodes-langchain.toolCode - Data table
n8n-nodes-base.dataTable - Data Table Tool
n8n-nodes-base.dataTableTool - Switch
n8n-nodes-base.switch - Slack Tool
n8n-nodes-base.slackTool - Email Send Hitl Tool
n8n-nodes-base.emailSendHitlTool - Slack
n8n-nodes-base.slack - Send Email
n8n-nodes-base.emailSend - Merge
n8n-nodes-base.merge
What it does
How It Works This workflow automates semiconductor board-level reliability monitoring using AI agents. It targets reliability engineers, manufacturing teams, and quality analysts. The system collects capacity, history, and sensor data, then applies intelligent agents to detect anomalies, predict failures, and trigger alerts. Data flows through capacity checks, operations analysis, and reliability evaluation. AI models assess thermal stress, material risks, and performance deviations. Results are merged, severity is classified, and automated alerts and reports are generated. This reduces manual monitoring and improves reliability decisions. Setup Steps 1. Configure Nvidia/OpenAI credentials 2. Connect Google Sheets data 3. Configure Gmail alerts 4. Map input fields 5. Activate workflow Prerequisites n8n, Nvidia/OpenAI API, Google Sheets, Gmail credentials Use Cases Semiconductor reliability, predictive maintenance, capacity monitoring Customization Add models, adjust thresholds, extend alerts Benefits Automation, faster insights, improved reliability