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  • 🧠 3-Step Fix for AI's Biggest Problem (It Lies)

🧠 3-Step Fix for AI's Biggest Problem (It Lies)

How To Tell When A Robot's Lying To You...

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Hello...Happy Wednesday! πŸ‘‹πŸ»

Your quick win of the week - what to do when your AI’s lying to you.

A Serious Problem: AI is confidently stating "73% of marketers prefer email over social" – but we ran it back, and this statistic doesn't exist ANYWHERE.

Your 3️⃣-Step AI Hallucination Prevention Playbook

Step 1: ADD Source-Demanding Prompt Step 

Add this to key content generation prompts:

CRITICAL: For every statistic, claim, or fact you include, you MUST either:

- State "This requires verification" 

- Provide the specific source and date

-Mark uncertain information with [VERIFY]

Step 2: Content Verification Tracker

πŸ‘‰πŸΌ Google Sheet Content Verification Tracker πŸ‘ˆπŸΌ

Use this FREE template that I build for my upcoming UNH class so your team has a clear process to replace AI Fibs before they become problems.

Step 3: Measure Your Brands Error Rate

Track this KPI: AI Accuracy Score = (Verified Claims Γ· Total Claims) Γ— 100

  • Target: 99%+ accuracy

  • Baseline: Check your last 10 AI pieces

  • Do quarterly audits of published content

Copy-Paste Verification Template πŸ–±οΈ

Fact to verify: [CLAIM or use linked above Google Sheet as a PDF]

Searched: [Google, industry reports, company sites, Wikipedia] 

Result: [VERIFIED/DEBUNKED/MODIFIED]

Replacement Fact: [ACCURATE VERSION with source url]

Note:[DATE]

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πŸ‘€ Your Next Step: Run your next AI campaign through this 3-step process and track the error rate improvement.

What's the worst AI hallucination you've caught before publication?

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Cheers, 

Alec

P.S. If your team is struggling with AI accuracy in marketing (hello, hallucinations), join my next UNH course. We tackle the real challenges of AI not just the hype.