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Four GPTs walk into a bar. Only one scores the deal.

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The Surprising Thing We Learned After Training 100+ GPTs for Real Brands

Illustration of four human-like characters sitting at a bar, each wearing a “ChatGPT” T-shirt. The figures represent different GPT bots with distinct personalities: a baby with a cigarette (ChatGPT Vanilla), a muscular man in a hat (RAMMP Bot), a stern woman with a clipboard (Responses API), and a bald, expressionless man (OpenAI Assistants). The scene humorously visualizes the idea that identical AI models can behave very differently depending on how they’re “raised.”
Four GPTs walk into a bar… Same model. Same logo. Very different vibes. Only one of them knows your brand voice — and it’s not the smokin’ babe.

We trained over 100 custom GPT bots and ran a controlled experiment with four supposedly identical models. The results? Unexpected. Revealing. And essential reading for anyone using AI to represent a brand.

Four GPTs walk into a bar. They sit down. They order drinks. They nod politely. But only one of them lands the deal.

Each bot was powered by OpenAI’s GPT-4o engine. Same model. Same training files. Same prompt. Same silicon IQ.
And yet… completely different results.

This isn’t a riddle. It’s a true story based on 18 months of hands-on work training GPT bots for commercial use. And what we discovered during these experiments has real implications — especially for brands and business owners using AI to scale their voice.

The Set-Up

At RAMMP, we train AI bots to help founders and marketers save time and sharpen messaging. Alongside Daniel Barnett (founder of All The AI’s and previously GuitarSite.com), we created a test to answer a recurring question:

Why do bots that should behave identically… act so differently?

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The Startup
The Startup

Published in The Startup

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Dr Anna Harrison
Dr Anna Harrison

Written by Dr Anna Harrison

Australia’s foremost Consumer Interaction Specialist and ‘Brand Relationship Therapist’. Keynote Speaker | Media Commentator | Published Author

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