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#100 | Why Your AI Content Still Sounds Robotic (And It's Not Your Prompts)

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Manage episode 518698189 series 3343493
Content provided by Kristen Poborsky. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kristen Poborsky or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode I share the behind the scenes where iI ran the same transcript through two different AI assistants—one trained, one untrained.

The results? Completely different.

The untrained version was full of "let's dive in" and "unlock your potential." My trained assistant sounded exactly like me with almost zero editing needed.
If you've been spending 30 minutes crafting the perfect prompt only to get stiff, generic content that doesn't sound like you, this video will show you why prompting isn't the problem—training is.
I'm taking you inside both assistants so you can see the actual outputs side by side and learn exactly how I trained my AI to write in my voice.
What You'll Learn:
• Why better prompts won't fix robotic AI content
• The exact difference between trained and untrained AI assistants
• What to include when training your AI (voice playbook, examples, boundaries)
• How to get publish-ready content without spending hours editing
• Why your AI should work like a trained team member, not just a tool
Want help training your AI assistant to sound like you? Comment "AI ASSISTANT" below or DM me and I'll send you my training framework.
📚 Resources Mentioned:

EPISODE TIMESTAMPS:
00:00 - The Prompting Myth Everyone Believes
01:00 - Same Input, Completely Different Results
03:00 - What the Untrained Assistant Created (Generic & Forgettable)
04:00 - What My Trained Assistant Created (Ready to Publish)
06:00 - Inside My Training System (No Tech Skills Needed)
08:00 - Why Training Beats Prompting Every Time
09:00 - How to Start Training Your AI Assistant

  continue reading

100 episodes

Artwork
iconShare
 
Manage episode 518698189 series 3343493
Content provided by Kristen Poborsky. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kristen Poborsky or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode I share the behind the scenes where iI ran the same transcript through two different AI assistants—one trained, one untrained.

The results? Completely different.

The untrained version was full of "let's dive in" and "unlock your potential." My trained assistant sounded exactly like me with almost zero editing needed.
If you've been spending 30 minutes crafting the perfect prompt only to get stiff, generic content that doesn't sound like you, this video will show you why prompting isn't the problem—training is.
I'm taking you inside both assistants so you can see the actual outputs side by side and learn exactly how I trained my AI to write in my voice.
What You'll Learn:
• Why better prompts won't fix robotic AI content
• The exact difference between trained and untrained AI assistants
• What to include when training your AI (voice playbook, examples, boundaries)
• How to get publish-ready content without spending hours editing
• Why your AI should work like a trained team member, not just a tool
Want help training your AI assistant to sound like you? Comment "AI ASSISTANT" below or DM me and I'll send you my training framework.
📚 Resources Mentioned:

EPISODE TIMESTAMPS:
00:00 - The Prompting Myth Everyone Believes
01:00 - Same Input, Completely Different Results
03:00 - What the Untrained Assistant Created (Generic & Forgettable)
04:00 - What My Trained Assistant Created (Ready to Publish)
06:00 - Inside My Training System (No Tech Skills Needed)
08:00 - Why Training Beats Prompting Every Time
09:00 - How to Start Training Your AI Assistant

  continue reading

100 episodes

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