LLM Tweet Generation Loop

Process each RSS item into a single tweet by following a simple, repeatable flow: normalized RSS → Loop Over Items (batch = 1) → AI tweet → Airtable row. This approach keeps the workflow minimal, reliable, and easy to scale. Instead of sending large arrays to the LLM, you feed one clean article at a time for precise, consistent results.

• RSS item: already cleaned or normalized;
• Loop Over Items (Split in Batches): batch size = 1;
• AI Agent: generates one tweet;
• Airtable → Create Record: stores the tweet;

This approach ensures predictable outputs, easier debugging, and lets you stop or restart mid-run without disrupting the entire workflow.

You can now turn any normalized RSS feed into tweets that post reliably, store them in Airtable with source tracking, and safely resume without duplicates. By adjusting one system message, you control tone and length, keeping the workflow scalable and rate-limit friendly.