Why does AI quality degrade when processing large batches?

AI quality degrades with large batches due to context window limitations and rate limiting.

Root causes:

• Context window overflow when processing too many items
• Rate limiting causes retries with degraded quality
• Token limits force truncation of context
• Temperature drift over long sessions

Solutions:

1. Keep batches small:

   • Batch size: 25 max (10 for personalization)
   • Add 2-second delay between batches

2. Quality controls:

   • Include confidence score in output
   • Set minimum confidence threshold (0.

8. • Retry low-confidence results with better model

3. Output validation:

   • Minimum/maximum length checks
   • Must mention company name
   • Cannot contain generic phrases ("I hope this email finds you")

4. Retry strategy:

   • Max 2 retries per item
   • Use different (better) model on retry
   • GPT-4 for critical failures

Pro tip: Test your prompt on 25 items first, validate outputs, then scale up. Don't jump straight to 400.