“The best AI users are always women, and they’re always super high creative types.”

Jonathan Green has seen what many AI builders overlook: the most effective AI users aren’t technical experts: they’re creative communicators who treat AI like a teammate. They name their agents, talk to them conversationally, and rarely get frustrated when something doesn’t work.

After being fired from his university job in a snowstorm, Jonathan built a business around real-world AI use. From a tropical island, he now consults on AI automation and business workflows, helping teams solve problems without overengineering.

In this episode, Daniel and Jonathan talk about why most companies don’t need more AI, what customer support teams reveal that bots can’t, and how AI agents with personalities, skill trees, and logic chains are more effective.

🔑 What You’ll Learn in This Episode

• ✅ Why the best AI users may not look like who you expect
• ✅ How personality and skill trees make agents more effective
• ✅ Why customer support teams should never be replaced outright by AI
• ✅ How “friendship-style prompting” outperforms command-and-control approaches
• ✅ What most companies really need when they ask for AI

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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