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Prompt Engineering

How to Reduce Hallucinations With Better Prompts

adminSTe1

A practical tutorial for operators improving prompts—not parlor tricks. Anchored to Prompt Engineering for Business.

Last updated: 2026-08-02

Outcome

Leave with a reusable artifact in your Prompt Library or wiki.

Steps

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  1. Demand sources
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  2. Allow “I don’t know”
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  3. Separate draft vs final
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  4. Add critique pass
    5. nn
  5. Log escapes
    6. n
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Model notes

Test on both ChatGPT and Claude. If results diverge, document why—see adapting prompts across models.

Failure patterns

Vague verbs, missing schemas, and no eval set. Fix those before blaming the vendor—or revisit Choosing AI Tools.

Business links

Industry teams can adapt examples via Business Solutions.

FAQ

How is this different from chatting?

You create an owned, versioned asset with a metric—not a disposable thread.

Keep learning

Practice in the Prompt Library, study terms in the glossary, and subscribe to the newsletter.

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