Tutorial: Killing Hallucinations in Production

Reliability is the hallmark of professional agents. This tutorial walks you through the Fact-Check Loop protocol.

The Objective

Reduce model hallucinations by 80% using self-reflection and cross-validation techniques.

Core Logic: Sample Implementation

1. Constraint Logic: Tell the AI: "Only use facts provided in the context."
2. Assumption Flagging: Mandate: "Explicitly state whenever you are making a logical assumption."
3. The Audit Loop: Instruct the AI to "Review your own previous response and point out any potential errors."

The Laboratory (Copy-Paste Template)

Paste this "Self-Audit" wrapper at the end of any complex prompt:

Once you have generated the answer, perform the following:
1. Identify any facts that were not in the provided context.
2. Rate your own confidence in each section from 1-10.
3. Highlight any areas where you had to guess or extrapolate.

Practical Use Cases

• Customer Support: Ensuring an AI bot doesn't promise a refund policy that doesn't exist.
• Code Review: Catching logic errors in high-stakes financial components.

Summary: Key Takeaways