AI Agents8 min readUpdated 2026-06-29
AWS SQS + OpenAI in n8n: The Playbook
Combine AWS SQS with OpenAI in n8n for classification, drafting and enrichment at scale.
Key takeaways
- Classify + draft + enrich + summarize.
- Human-in-loop for writes.
- Right-size the model per task.
- Cache repeated prompts.
AWS SQS + OpenAI is the most-requested combo we see. This playbook covers the four workflow shapes teams actually ship with them.
Classify
Every new AWS SQS record → LLM classifier → tag write-back. Cheap, fast, transformative.
Draft
LLM drafts a next action; human approves; workflow writes back to AWS SQS. Keeps humans in the loop.
Enrich
LLM extracts structured fields from unstructured AWS SQS notes. Populate CRM fields you never had time to fill.
Summarize
Nightly summary of AWS SQS activity, delivered to Slack. Ops leaders start their day informed.
Frequently asked questions
- Which model?
- GPT-4o-mini for classify/enrich; GPT-4o for drafting when quality matters.
- Cost per record?
- Fractions of a cent for classify; a few cents for drafting.
- Prompt store?
- Postgres or Notion — version prompts like code.
- Guardrails?
- Approval step + structured-output schema. Always.