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.
If you see duplicates (similar headlines), dedupe upstream by GUID/title or filter before the loop. If Airtable rejects writes, re-check table/field names and types.
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.
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Can you explain how to set up the loop over items in this workflow?
How do I connect Airtable to this process?
What should the system message for the AI agent look like?
Awesome!
Completion rate improved to 4.17LLM Tweet Generation Loop
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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.
If you see duplicates (similar headlines), dedupe upstream by GUID/title or filter before the loop. If Airtable rejects writes, re-check table/field names and types.
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.
Tak for dine kommentarer!
