Starter blueprints/best practices for building QA/QC AI agents in n8n (VOC → actions)

[ameen_rehmania]

Describe the problem/error/question………….I’m starting a project to build Quality Assurance / Quality Control AI agents in n8n for a textile manufacturing context.

Initial goals:

• Ingest Amazon VOC (reviews + returns) and internal final-audit data.

• Classify & cluster issues (LLM + regex), map to audit defect codes, and generate corrective-action suggestions.

• Trigger on new data via Webhook/Schedule, keep short-term memory (DB), and post summaries to email/Slack/Sheets/Power BI.

What is the error message (if any)?……………..N/A – this is a design/“how to get started” question.

Please share your workflow…………………..Not yet—happy to test any sample blueprint you can share. If useful, I can post back results and iterate

Share the output returned by the last node

N/A.

Information on your n8n setup

• 1. n8n version: [e.g., 1.x – fresh install]
  2. Database (default: SQLite): SQLite (for now)
  3. n8n EXECUTIONS_PROCESS setting: main (single process)
  4. Running n8n via (Docker, npm, …): npm (no Docker yet)
  5. Operating system: Windows 10 Pro 22H2 (Build 19045)
  6. Node.js: LTS (v20)
  7. Skills/comfort: API auth, webhooks, regex, SQL, and basic JS in Code node