Expectations around AI vary between overhyped software to existential threat, so we need a simpler way to evaluate it.

That’s why the lense of defined work vs underfined work is so valuable.

In this mini episode of Property Management Frame Breakers, @Pablo Gonzalez shares a simple framework he heard on Tony Cline’s Property Management Success Podcast, and it instantly clarified how to right-size AI expectations.

You’ll learn:
🧱 The “Defined vs. Undefined Work” lens that makes AI adoption instantly clearer
🤖 What AI agents are actually good at today (and what they aren’t)
🧠 How AI gives your best teammate their “perfect assistant”
🤝 How to bring back the high-trust role your owners really want: “their guy”

🎧 Listen now if you want a no-hype way to think about AI and a practical path to using it to raise standards, reduce churn, and give your best people work that actually feels meaningful.

🎧  Here is Tony’s podcast where I got the idea.

🌟 Stay Connected with Us:

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Chapters:

00:00 Introduction and Personal Anecdote
00:43 Introducing the Podcast and Sponsor
01:17 Discussion on Tony Klein's Podcast
02:07 AI in Property Management
02:43 Defined vs. Undefined Work
04:15 Impact of AI on Work Fulfillment
05:15 Practical Applications of AI
07:22 Conclusion and Call to Action