How to Use AI to Dramatically Improve Your Quality

AI Explored

8 HOURS AGO

Overview Shownote Highlights Transcript Chapters Pins

Shownote

Want to improve AI output quality so your content, reports, and deliverables don't read like everyone else's? I interview Austin Marchese to discover how to build AI personas and feedback loops that improve the quality of your deliverables before anyone else sees them. * Setting Up the Feedback System With Projects, Skills, and a Knowledge Base * Building Your AI Customer Persona From Real Data * Creating an Internal AI Focus Group With Multiple AI Customer Personas * Testing the Feedback Loop Until It Matches Reality Guest: Austin Marchese [https://www.theincubator.xyz] | Show Notes: socialmediaexaminer.com/a121 [https://www.socialmediaexaminer.com/a121] Review our show [https://podcasts.apple.com/us/podcast/ai-explored/id1740971373] on Apple Podcasts See Privacy Policy at https://art19.com/privacy [https://art19.com/privacy] and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info [https://art19.com/privacy#do-not-sell-my-info].

Highlights

This episode explores how businesses can move beyond generic AI experimentation and build systems that consistently produce useful, differentiated work. Austin Marchese shares lessons from helping organizations make AI a practical part of their strategy and operations.

03:02

AI is powerful only when carefully calibrated

05:45

Critical thinking is the new competitive edge.

26:02

AI feedback is only as good as its data

39:19

Better workflows matter more than model selection.

Chapters

From Automation Experiments to an AI-Native Business Strategy

00:00

Why Human Judgment Makes AI-Generated Work Stand Out

05:45

How Real Customer Data Creates a More Reliable AI Focus Group

20:17

Testing and Refining the Feedback System Until It Matches Reality

36:53

Transcript

Michael Stelzner: Are you wondering how your fellow marketers are using AI? Well, we just dropped our third annual AI Marketing Industry Report. For three years, we've been tracking all the trends. What are the platforms everybody's using? How are they act...