Some people try to engineer perfect prompts. Others just talk and get better results.

Jonathan Green has seen how a conversational, almost playful approach to AI changes the results you get. The people he calls master prompters name their AI, treat it like a collaborator, and, often without realizing it, unlock responses others struggle to reach.

In this bonus episode, Jonathan shares why these habits are hard to teach but powerful to watch in action, and why the best results often come from those who think they’re “not very good” at AI.

🎧 Curious what else Jonathan has learned?

This clip is just a glimpse of Jonathan’s perspective. In the full episode, he talks about designing AI agents with personalities and skill trees, why most companies don’t actually need more AI, and how “friendship-style prompting” changes outcomes.

Listen to the full episode: https://rss.com/podcasts/manaryhaus/2120044/

🔗 Resources & Links

• 🤝 Connect with Jonathan on LinkedIn: https://www.linkedin.com/in/servenomaster/
• 📓 Learn more about Jonathan: https://servenomaster.com/
• 📩 Subscribe to the Artificial Insights newsletter for summaries and takeaways: https://manary.haus/podcast/#haus
• 👉 Have a guest in mind? Reach out to Daniel at [email protected]

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