Making AI Agents More Humanlike | EP58

In this episode, we dive into the world of AI-generated content and explore how to make AI agents sound significantly more human.

We cover a practical, research-backed approach to building more natural-sounding language models using tools like Text Cortex.

From extensive research with Gemini to creating blacklist word databases, we walk through the step-by-step process of transforming robotic, overly corporate AI language into authentic, humanlike communication.

You'll also meet "Person Pete," a custom agent developed to eliminate AI telltale signs, like clichéd jargon and awkward phrasing, across everything from emails to social media content.

Whether you're crafting marketing material, writing outreach emails, or building your own AI agent, this episode offers actionable tips to improve tone, clarity, and relatability—making your AI feel less like a bot and more like a real person.

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⏰ TIMESTAMPS:

0:00 - Why AI Writing Feels Robotic

0:34 - Introducing the Person Pete Agent

1:14 - Creating the Anti-AI Knowledge Base

2:44 - Deep Research with Gemini Explained

4:01 - Crafting Natural Sounding Prompts

5:47 - Comparing AI-Generated Emails

7:00 - Realistic AI Writing for Everyday Use

8:03 - Building Better Blacklists for AI

9:00 - Corporate Jargon Words to Avoid

9:39 - Final Thoughts and Text Cortex Tips

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