Telling your AI to write “like Ron Swanson” might sound silly until you try it. In this episode, we get into why personality-driven prompts can instantly change how your content sounds and how it connects with people.

AI today knows way more about pop culture and tone than most folks expect. If you tap into that, your writing can stand out fast, whether you’re putting together emails, blog posts, or full-on campaigns. Of course, with so much AI content flying around now, the ethics side of things is getting more complicated too.

We’re talking about how to use personas well, and where it starts to get tricky.

When you ask your AI to write like Ron Swanson, something clicks. Characters and archetypes give AI a clear style to follow, which makes the results feel more human, more relatable, and honestly, more fun. Once you find a voice that fits your brand, adding it to your prompts helps your content stay sharp and consistent.

But there’s a flip side. We're stepping into new territory as AI starts learning from other AI-generated content, and with legal cases like Sarah Silverman’s pushing back on how data is used. This episode unpacks what that means for marketers and creators right now.

Key Takeaways

• Personality-based AI prompts can dramatically improve tone and relatability.
• Characters like Ron Swanson give AI a clear style reference—try experimenting with others.
• Matching reading level to audience expectations is just as important as tone.
• Ethical challenges are emerging fast as AI learns from AI-created content.
• Content creators and marketers need to stay alert to the evolving legal landscape.

👉 More content. Less hassle. See what’s possible at FOMO.ai.

❓7 Burning Questions (And Straight Answers)

How do personality-based AI prompts work?

When you reference a well-known persona or character, AI taps into its vast training data to mirror that style or tone. This can make outputs sound more natural and engaging.

Can this technique help with AI SEO?

Yes—engaging, well-written content performs better for both readers and search engines. Using distinct, relatable voices can boost readability and shareability, which influences SEO outcomes.

What are some good personas to try besides Ron Swanson?

You can experiment with prompts like “be presidential,” “a wise older sister,” or even “Santa Claus in a bad mood.” The possibilities are endless—choose tones that fit your brand.

Is it ethical to use personas like this in AI-generated content?

It depends. Referencing public personas or archetypes is common, but using copyrighted characters commercially can enter legal gray areas. Stay informed and cautious.

How does reading level affect content success?

Choosing the right reading level helps match your content to your audience’s expectations. For example, The Wall Street Journal typically targets 8th–11th grade levels, while tabloids aim for around 5th grade.

Are AI models now learning from AI-generated content?

Yes—this is an emerging challenge. As AI trains on AI-generated material, outputs can become more exaggerated or skewed over time. It’s a trend worth watching.

What are the legal risks of using AI for marketing content?

As lawsuits like Sarah Silverman’s against OpenAI show, copyright and data use in AI training is a hot topic. Marketers should stay up-to-date as the legal environment evolves.

👉 More content. Less hassle. See what’s possible at FOMO.ai.

Dax Hamman, CEO & Co-Founder, FOMO.ai

Negotiate Smarter With an AI Coach by Your Side

Nailing your next negotiation doesn’t have to be a guessing game. This episode explores how AI is reshaping the way we approach deal-making—whether you're asking for a raise or closing a business contract.

AI coaches aren’t just futuristic add-ons—they’re practical tools that can dissect your communication style, simulate high-stakes conversations, and even give you real-time feedback as you negotiate. From emotional intelligence training to identifying your strongest alternatives (yes, we talk BATNA), this episode breaks down exactly how tech can sharpen your strategy and boost your confidence at the table.

Whether you’re a sales leader, a job seeker, or just tired of losing arguments over weekend plans, there’s something in here for you.

Key Takeaways

• AI tools can now analyze your negotiation style and offer actionable feedback.
• Real-time coaching during high-pressure talks is no longer science fiction.
• Scenario simulations let you practice without the real-world risk.
• Data-driven insights reveal what tactics actually work across industries.
• Emotional intelligence isn’t just human anymore—AI can help you improve it.

👉 Get more done without more work. See how at FOMO.ai.

❓Need-to-Know Q&A

What is an AI negotiation coach?

An AI negotiation coach is a digital tool that helps you improve your negotiation skills through analysis, simulations, and real-time support. It evaluates how you communicate and provides tailored advice to make you more effective.

How does AI give real-time feedback during a negotiation?

The AI listens to the conversation, picks up patterns in tone and language, and offers prompts or suggestions based on the flow. This allows you to pivot mid-conversation for a stronger outcome.

Can AI help me prepare for a salary negotiation?

Yes. AI can help map out your goals, assess your BATNA, and even analyze your employer’s likely responses. It’s like having a strategy coach in your back pocket.

Is AI negotiation coaching better than a human coach?

Not necessarily better—but often faster, cheaper, and available 24/7. It’s especially useful for regular practice or when hiring a coach isn’t an option.

What’s the benefit of practicing negotiation with AI simulations?

Simulations mimic real scenarios, giving you space to try new tactics and get immediate feedback. It builds confidence and muscle memory for the real thing.

How does emotional intelligence factor into AI coaching?

AI can detect emotional cues in speech and guide your response to defuse tension or build rapport. This can lead to smoother negotiations and better outcomes.

What is BATNA and why does it matter?

BATNA stands for Best Alternative to a Negotiated Agreement. Knowing your BATNA gives you leverage and prevents you from agreeing to unfavorable terms.

👉 Faster content, higher quality. Find out how at FOMO.ai.

Dax Hamman, CEO & Co-Founder, FOMO.ai

AI vs. Automation: Why Knowing the Difference Matters

Most teams lump AI and automation together, but treating them the same could cost you.

Artificial Intelligence and marketing automation are reshaping how businesses operate, but they’re not the same. This episode discusses what sets them apart and why that difference matters more than most people think.

You’ll hear how AI learns, adapts, and makes smart decisions based on data, while automation handles the repetitive stuff in the background, no thinking, just doing. We’ll talk about real examples, like AI tools that don’t need prompts and automated workflows that run without anyone lifting a finger.

Are you unsure which one your team needs or how to make them work together without creating chaos? We’ve got you covered.

Key Takeaways

• AI learns and evolves—it’s built to make informed decisions, not just complete tasks.
• Automation sticks to rules. It handles repetitive processes so your team doesn’t have to.
• AI marketing tools like FOMO.ai operate without prompts, delivering true cognitive automation.
• Managed automation services let you outsource the headache—think expert-built, monitored workflows.
• Together, AI and automation create scalable systems that drive performance and personalization.

👉 Your marketing team, but smarter. Check it out at FOMO.ai.

❓7 Questions that Could Make or Break Your Next AI Decision

What’s the biggest difference between AI and automation?

AI mimics human intelligence to analyze data and make decisions, while automation follows pre-set rules to carry out tasks consistently.

Can AI replace marketing automation tools?

Not exactly. AI enhances decision-making and personalization, but automation handles repetitive actions. They complement each other, not compete.

What’s an example of AI in marketing that isn’t just automation?

Platforms like FOMO.ai use promptless AI that dynamically adapts messaging based on audience behavior—no human input or rule-setting needed.

Is automation still useful if I have AI tools?

Absolutely. Automation ensures tasks happen on time, while AI brings context and strategy. Most high-performing systems use both.

Do I need a developer to set up automation?

Not if you use no-code tools like Zapier or MAKE.com. For more complex needs, managed automation services offer a hands-off approach.

What’s “managed automation,” and who needs it?

It’s a full-service model where experts design, deploy, and maintain your automations. It’s ideal for teams that want results without building from scratch.

Can combining AI and automation improve customer retention?

Yes. AI identifies behavior patterns (like churn risk), while automation delivers timely, personalized campaigns in response.

👉 Smarter marketing starts here. Discover FOMO.ai.