AI Agents8 min readUpdated 2026-06-29
X/Twitter + OpenAI in n8n: The Playbook
Combine X/Twitter 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.
X/Twitter + OpenAI is the most-requested combo we see. This playbook covers the four workflow shapes teams actually ship with them.
Classify
Every new X/Twitter record → LLM classifier → tag write-back. Cheap, fast, transformative.
Draft
LLM drafts a next action; human approves; workflow writes back to X/Twitter. Keeps humans in the loop.
Enrich
LLM extracts structured fields from unstructured X/Twitter notes. Populate CRM fields you never had time to fill.
Summarize
Nightly summary of X/Twitter 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.