Build an AI business that makes you immune to model releases

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In this solo episode, I break down how to build an AI business that gets stronger every time a new model drops instead of getting wiped out. I explain why wrapper apps, prompt packs, one-off automations, and "tool guy" positioning keep resetting to zero, and why AI assessments and AI concierge retainers compound with every release. By the end, you'll have a litmus test to run your current offer through and a simple loop for turning every model release into a reason to call your clients.

Timestamps:

00:00 - Intro: Building Immunity In AI

00:48 - The Typical Model Release Cycle

01:28 - What Immunity Actually Means

01:58 - The Four Businesses Model Releases Killed

04:07 - The Vicious Cycle Of Constant Pivoting

04:44 - The Kind Of Business That Is Immune

05:03 - The $999 AI Tools Assessment

06:14 - The AI Concierge Retainer Moat

07:36 - Why Your Context Is A Competitive Advantage

08:27 - Head To Head: The Immunity Litmus Test

09:00 - Example: How Record A Skill Helped My Business

11:07 - The Loop: Rerun The Assessment On Every Release

12:49 - The Release-Day Text Message Script

13:30 - The Verdict: Assessment As Wedge, Concierge As Moat

14:42 - Next Steps: Audit Your Current Offer

15:06 - Why I Stopped Building Knowledge Bases

15:31 - AI Operator Academy Invite

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