Lessons from 30+ AI Automations: 5 Critical Patterns
soul_eater0001 · reddit · 2026-09-01
The author shares 5 recurring problems and solutions from building 30+ AI automation projects:
- Create Case First: Generate a unique ID based on message ID and attachment hash to prevent duplicate processing.
- Extract Only What You Need: AI extracts only target fields with confidence scores; low confidence is routed to humans to prevent hallucinated gap-filling.
- Validate Against System: Check against the destination system (references, dates, logic) before writing.
- Write as Draft: Never write final records directly. Read back after writing to compare and ensure completeness, preventing silent failures.
- Queue Failures: Route failures or low-confidence items to an exception queue for human review to prevent drift.
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