Module: 3/5
Lesson: 6/7
Exercises:
Module 3 | Lesson 5

Lesson 5: The Hallucination Problem in Pipelines — When AI Gets It Wrong at Scale

The Design Philosophy

Design your workflow so that an AI hallucination causes a minor inconvenience, not a disaster.

Good: hallucination triggers a manual review. You see it, fix it, move on.

Bad: hallucination writes wrong data to your database, sends a wrong email to a client, or deletes a critical message.

This means: - Add manual review steps for high-stakes classifications - Log everything before using it downstream - Use confidence scores to trigger human review when unsure - Constrain outputs so hallucination is limited - Spot-check regularly

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